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drpy视频源创建与调试 · leoyeai | DecimalAI

Codingby leoyeai

drpy视频源创建与调试

drpy视频源创建与调试技能。当用户需要创建、修改、调试drpy视频源（用于TVBox、海阔视界、ZYPlayer等播放器）时使用此技能。包括drpy源属性配置、模板继承、正则表达式编写、本地代理设置、不同类型源（影视/听书/漫画/小说）支持。

Never made a case worse

SkillScore

SkillScore95/100

Test results 95

Safety

3/3 safety checks passed

Code scan
Intent
Content

What it changes

59%95%of test cases passed +36 pts

Without skill13 of 22

With skill21 of 22

8 fixed13 passed either way1 still failing0 broke

Measured on gemini-3.6-flash8/8/2026v1

Track record

Agent runs: 0; All time

See one task, with and without the skill

One test taskWhen loading poster images from a remote video site in drpy, the server returns HTTP 403 Forbidden unless specific Referer and User-Agent headers are sent with the image request. What drpy string rule property formats these request parameters?

Without the skillMissed

With the skillPassed

Same model, same task. Answers are capped and redacted.

Use this skill

Your agent runs on

Adds every file the skill has, pinned so you can update it. No account needed.

pip install "decimalai>=0.15"
decimalai skills add leoyeai-drpy-source-creator
claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

The same install from Python, for a notebook or a setup script.

Install

pip install "decimalai>=0.15"

Add the skill

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

print("Added. Start Claude Code with the command below.")

Start Claude Code with it

claude --plugin-dir "$(git rev-parse --show-toplevel 2>/dev/null || pwd)/.agents"

Type these in a Claude Code session. No account or API key. It writes the skill and any files it bundles, and asks first when its safety rating isn't Passed.

Add the DecimalAI plugin, once

/plugin marketplace add decimal-labs/decimalai-claude-plugins
/plugin install decimalai@decimalai

Install this skill

/decimalai:install leoyeai-drpy-source-creator

The plugin needs python3 and curl on your machine.

No Python or account. Claude Code picks it up in its next session.

Save it into your project

curl -fsSL --create-dirs -o .claude/skills/leoyeai-drpy-source-creator/SKILL.md https://app.decimal.ai/s/leoyeai-drpy-source-creator/SKILL.md

Copy SKILL.md

Save it in your project, as

.claude/skills/leoyeai-drpy-source-creator/SKILL.md

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Claude Code docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

The same install from Python, for a notebook or a setup script. agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[claude-agent-sdk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from claude_agent_sdk import ClaudeAgentOptions
from decimalai.claude_agent_sdk import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

async def main():
    question = "Hello!"
    async with support.run(question) as run:  # one user message, one run
        async for message in run.query(options=ClaudeAgentOptions(max_turns=6)):
            print(message)

# In a notebook or async code: await main()
asyncio.run(main())

Prefer its own loader? ClaudeAgentOptions(plugins=[skills_plugin()], skills="all") reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from claude_agent_sdk import ClaudeAgentOptions, query

skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
options = ClaudeAgentOptions(system_prompt=f"You are a helpful agent.\n\n{skill}", max_turns=6)

async def main():
    async for message in query(prompt="Hello!", options=options):
        print(message)

# In a notebook or async code: await main()
asyncio.run(main())

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Claude Agent SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai-agents]"
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

Install

pip install "decimalai[openai-agents]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

from agents import Agent, Runner
from decimalai.openai_agents import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    name=support.name,
    instructions=support.instructions,  # your prompt, then the skill list
    tools=[*support.tools],             # your tools, then load_skill
)
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

Using SandboxAgent? capabilities=[Shell(), decimalai.openai_agents.sandbox_skills()] points its own loader at the same folder.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
from agents import Agent, Runner

skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
agent = Agent(name="support", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await Runner.run(agent, "Hello!")
result = Runner.run_sync(agent, "Hello!")

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

OpenAI Agents docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[openai]"
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

Install

pip install "decimalai[openai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

import json

from openai import OpenAI
from decimalai.openai import agent_config

client = OpenAI()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your tools, as Chat Completions takes them, and what answers each.
TOOLS = [{"type": "function", "function": {
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters": {"type": "object", "properties": {"order_id": {"type": "string"}},
                   "required": ["order_id"]},
}}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    # run.system is your prompt, then the skill list.
    messages = [{"role": "system", "content": run.system}, run.message]
    while True:
        reply = client.chat.completions.create(
            model="gpt-5.4-mini",
            messages=messages,
            tools=[*TOOLS, *run.tools],  # your tools, then load_skill
        ).choices[0].message
        messages.append(reply)
        if not reply.tool_calls:
            break
        for call in reply.tool_calls:
            # load_skill is answered by the run; your own tools by FUNCTIONS.
            function = FUNCTIONS.get(call.function.name)
            messages.append(run.tool_result(call) or {
                "role": "tool", "tool_call_id": call.id,
                "content": function(**json.loads(call.function.arguments)) if function
                else f"There is no tool named {call.function.name!r}.",
            })
print(reply.content)

# The Responses API takes run.response_tools instead of run.tools.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
from openai import OpenAI

client = OpenAI()
skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
reply = client.chat.completions.create(
    model="gpt-5.4-mini",
    messages=[
        {"role": "system", "content": f"You are a helpful agent.\n\n{skill}"},
        {"role": "user", "content": "Hello!"},
    ],
).choices[0].message

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

OpenAI SDK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[anthropic]"
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

Install

pip install "decimalai[anthropic]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

import anthropic
from decimalai.anthropic import agent_config

client = anthropic.Anthropic()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

question = "Hello!"
with support.run(question) as run:  # one user message, one run
    answer = client.beta.messages.tool_runner(
        model="claude-haiku-5-5",
        max_tokens=4096,
        system=run.system,     # your prompt, then the skill list
        tools=[*run.tools],    # your tools, then load_skill
        messages=[{"role": "user", "content": question}],
    ).until_done()

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
import anthropic

client = anthropic.Anthropic()
skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
reply = client.messages.create(
    model="claude-haiku-5-5",
    max_tokens=4096,
    system=f"You are a helpful agent.\n\n{skill}",
    messages=[{"role": "user", "content": "Hello!"}],
)

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Anthropic docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[google-genai]"
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

Install

pip install "decimalai[google-genai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

from google import genai
from google.genai import types
from decimalai.google_genai import agent_config

client = genai.Client()
# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")


def lookup_order(order_id: str) -> str:
    return f"Order {order_id} shipped yesterday."


# Your functions, as declarations for the model, and what answers each.
TOOLS = [{"function_declarations": [{
    "name": "lookup_order",
    "description": "Look up the status of an order.",
    "parameters_json_schema": {"type": "object", "properties": {"order_id": {"type": "string"}},
                               "required": ["order_id"]},
}]}]
FUNCTIONS = {"lookup_order": lookup_order}

question = "Where is order A1001?"
with support.run(question) as run:  # one user message, one run
    config = types.GenerateContentConfig(
        system_instruction=run.system,     # your prompt, then the skill list
        tools=[*TOOLS, *run.tool_params],  # your functions, then load_skill
    )
    contents = [{"role": "user", "parts": [{"text": run.message}]}]
    while True:
        response = client.models.generate_content(
            model="gemini-3.5-flash", contents=contents, config=config,
        )
        if not response.function_calls:
            break
        contents.append(response.candidates[0].content)
        parts = []
        for call in response.function_calls:
            # load_skill is answered by the run; your own functions by FUNCTIONS.
            # A loop of your own rather than automatic function calling, which
            # raises KeyError when the model asks for a function you did not pass.
            function = FUNCTIONS.get(call.name)
            parts.append(run.tool_result(call) or {"function_response": {
                "name": call.name, "id": call.id,
                "response": {"result": function(**(call.args or {})) if function
                             else f"There is no function named {call.name!r}."},
            }})
        contents.append({"role": "user", "parts": parts})
print(response.text)

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
from google import genai
from google.genai import types

client = genai.Client()
skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
response = client.models.generate_content(
    model="gemini-3.5-flash",
    contents="Hello!",
    config=types.GenerateContentConfig(system_instruction=f"You are a helpful agent.\n\n{skill}"),
)

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Gemini API docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[langchain]" langchain-openai
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

Install

pip install "decimalai[langchain]" langchain-openai

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

from langchain.agents import create_agent
from decimalai.langchain import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = create_agent(
    "openai:gpt-5.4-mini",
    tools=[],                         # your tools; the middleware adds load_skill
    middleware=[support.middleware],  # your prompt, the skill list and load_skill
)
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
from langchain.agents import create_agent

skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
agent = create_agent("openai:gpt-5.4-mini", tools=[], system_prompt=f"You are a helpful agent.\n\n{skill}")
result = agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

LangChain docs

CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

The same install from Python, for a notebook or a setup script. CrewAI's own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" "crewai>=1.15.27"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.crewai
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                               # your own CrewAI LLM
    skills=decimalai.crewai.skills(),      # the installed folder
    tools=decimalai.crewai.skill_tools(),  # reads a skill's files, runs its scripts
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

No DecimalAI package. CrewAI's own loader reads the folder, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
from crewai import Agent, Crew, Task

agent = Agent(
    role="Support", goal="Help the customer", backstory="A support agent.",
    llm=llm,                         # your own CrewAI LLM
    skills=[Path(".agents/skills")],
)
task = Task(description="Hello!", expected_output="an answer", agent=agent)
Crew(agents=[agent], tasks=[task]).kickoff()

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

CrewAI docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[adk]"
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

Install

pip install "decimalai[adk]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.adk import DecimalAIPlugin, agent_config
from google.adk.agents import LlmAgent
from google.adk.apps import App

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = LlmAgent(
    name="support",          # ADK needs a Python identifier
    model="gemini-3.5-flash",
    instruction=support.instruction,  # your prompt, then the skill list
    tools=[*support.tools],           # your tools, then load_skill
)
# DecimalAIPlugin makes each invocation of runners built from this App one trace.
app = App(name="support", root_agent=agent, plugins=[DecimalAIPlugin()])

Prefer ADK's own loader? SkillToolset(skills=decimalai.adk.skills(), ...) reads the same folder. Use one or the other: a skill delivered both ways reaches the prompt twice.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
from google.adk.agents import LlmAgent

skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
agent = LlmAgent(
    name="support",
    model="gemini-3.5-flash",
    instruction=lambda context: f"You are a helpful agent.\n\n{skill}",
)

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Google ADK docs

agent_config() hands your agent the skill. With no DecimalAI key it reads your project's files and sends nothing. Needs SDK 0.27 or newer.

Install

pip install "decimalai[pydantic-ai]"
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

Install

pip install "decimalai[pydantic-ai]"

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

from pydantic_ai import Agent
from decimalai.pydantic_ai import agent_config

# With no DECIMAL_API_KEY this reads the skills your project lists, from disk.
support = agent_config("support", fallback="You are a helpful agent.")

agent = Agent(
    "openai:gpt-4o-mini",
    name=support.name,
    tools=[],                 # your tools; the capability adds load_skill
    capabilities=[support],   # your prompt, the skill list and load_skill
)
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

On the Pydantic AI harness, decimalai.pydantic_ai_harness.skills(project) uses its own loader instead.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
from pydantic_ai import Agent

skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
agent = Agent("openai:gpt-4o-mini", instructions=f"You are a helpful agent.\n\n{skill}")
# In a notebook or async code: result = await agent.run("Hello!")
result = agent.run_sync("Hello!")

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Pydantic AI docs

Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

The same install from Python, for a notebook or a setup script. Deep Agents' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" deepagents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

import decimalai.deepagents
from deepagents import create_deep_agent

agent = create_deep_agent(model=model, **decimalai.deepagents.skills())
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

The default backend reads files but has no shell. To run a skill's scripts, pass skills(backend=LocalShellBackend(...)).

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
from deepagents import create_deep_agent

skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
agent = create_deep_agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent.invoke({"messages": [{"role": "user", "content": "Hello!"}]})

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Deep Agents docs

Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

The same install from Python, for a notebook or a setup script. Its own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" agent-framework

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

import asyncio

from agent_framework import Agent
from decimalai.agent_framework import skills

agent = Agent(client=client, instructions="You are a helpful agent.", context_providers=[skills()])
asyncio.run(agent.run("Hello!"))

It caches skills by default, so restart the process after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

import asyncio
from pathlib import Path
from agent_framework import Agent

skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
agent = Agent(client=client, instructions=f"You are a helpful agent.\n\n{skill}")
asyncio.run(agent.run("Hello!"))

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Microsoft Agent Framework docs

Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents
decimalai skills add leoyeai-drpy-source-creator

Add it to your agent

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

The same install from Python, for a notebook or a setup script. Strands' own skill loader reads the installed folder. No DecimalAI account needed.

Install

pip install "decimalai>=0.16" strands-agents

Add it to your agent

from decimalai import skillpkg

# Writes .agents/skills and .decimal/skills.toml. Safe to run twice.
result = skillpkg.add("leoyeai-drpy-source-creator")
if result.exit_code:
    raise SystemExit(result.problems)

from decimalai.strands import skills
from strands import Agent
from strands.vended_tools import file_editor, shell

agent = Agent(
    model=model,                # always pass one: the default is Amazon Bedrock
    system_prompt="You are a helpful agent.",
    tools=[file_editor, shell],
    plugins=[skills()],
)
agent("Hello!")

Strands loads an agent's skills once, so build the agent again after decimalai skills update.

No DecimalAI package. The whole skill goes in every prompt, and nothing pins or updates it.

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

Give it to your agent

from pathlib import Path
from strands import Agent

skill = Path(".agents/skills/leoyeai-drpy-source-creator/SKILL.md").read_text()
agent = Agent(model=model, system_prompt=f"You are a helpful agent.\n\n{skill}")
agent("Hello!")

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Strands docs

Adds every file the skill has, pinned so you can update it. Cursor, Copilot, Cline and Warp read this folder by themselves.

pip install "decimalai>=0.15"
decimalai skills add leoyeai-drpy-source-creator

No Python or account. Cursor, Copilot, Cline and Warp read this folder by themselves.

Save it into your project

curl -fsSL --create-dirs -o .agents/skills/leoyeai-drpy-source-creator/SKILL.md https://app.decimal.ai/s/leoyeai-drpy-source-creator/SKILL.md

Copy SKILL.md

Save it in your project, as

.agents/skills/leoyeai-drpy-source-creator/SKILL.md

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Cursor and other editors docs

Fetch the file and give its text to your model as instructions. No account or package needed.

Get the file

curl -fsSL https://app.decimal.ai/s/leoyeai-drpy-source-creator/SKILL.md

Read the summary as JSON

curl -fsSL https://app.decimal.ai/s/leoyeai-drpy-source-creator.json

This gets SKILL.md only. The skill's 11 other files are not included.

Other ways to add it

Other setups docs

You don't need a DecimalAI account.

Version: v1, tested 8/8/2026
Source: LeoYeAI/openclaw-master-skills ↗
License: MIT

Manage it in DecimalAI

Saved prompts and skills, pinned versions, and traces of this skill in your runs. DecimalAI does not run your agent.

Claude Code reads files from your project, so DecimalAI config does not apply there.

On Claude Agent SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI Agents: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On OpenAI SDK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Anthropic: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Gemini API: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On LangChain: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On CrewAI: set DECIMAL_API_KEY and add decimalai.init(crewai=True) to record runs and skill use. The skill version stays in your repo.

On Google ADK: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Pydantic AI: save the skill to an agent here, set DECIMAL_API_KEY, and the same code uses it with no command to run. Changes you save reach the next run with no redeploy.

On Deep Agents: set DECIMAL_API_KEY and add decimalai.init(langchain=True) to record runs and skill use. The skill version stays in your repo.

On Microsoft Agent Framework: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

On Strands: set DECIMAL_API_KEY and add decimalai.init(otel=True, agent_name="support") to record runs and skill use. The skill version stays in your repo.

Editors read files from your project, so DecimalAI config does not apply there.

Anywhere else: record a use with decimalai.log_skill_activation() inside a trace.

Use this skill

SKILL.md

drpy视频源创建与调试

概述

drpy源是一种用于TVBox、海阔视界、ZYPlayer等播放器的视频源格式，使用JavaScript编写，支持动态内容抓取和解析。本技能提供完整的drpy源创建指南，包含属性配置、模板继承、正则表达式编写、常见问题调试等。

快速开始

以下是基础的drpy源模板：

var rule = {
  // 影视|听书|漫画|小说
  类型: '影视',
  // 规则标题
  title: '示例源',
  // 网页的域名根
  host: 'https://www.example.com',
  // 网站的首页链接
  homeUrl: '/latest/',
  // 分类页面链接
  url: '/fyclass/fypage.html',
  // 搜索链接
  searchUrl: '/vodsearch/紧箍咒/page/fypage.html',
  // 是否启用全局搜索
  searchable: 1,
  // 是否启用快速搜索  
  quickSearch: 0,
  // 是否启用筛选
  filterable: 0,
  // 请求头
  headers: {
    'User-Agent': 'MOBILE_UA',
  },
  // 请求超时(毫秒)
  timeout: 5000,
  // 是否需要调用免嗅lazy函数
  play_parse: true,
  // 静态分类名称
  class_name: '电影&电视剧&动漫&综艺',
  // 静态分类标识
  class_url: '1&2&3&4',
}

实战案例分析：皮皮影视

分析步骤

第一步：获取网站源码

import requests
headers = {'User-Agent': 'Mozilla/5.0...'}
resp = requests.get('https://www.pitv.cc/', headers=headers)
html = resp.text

第二步：确认关键选择器

✓ .hl-vod-list - 列表容器存在
✓ .hl-list-item - 列表项存在  
✓ a&&title - 标题属性存在
✓ a&&data-original - 图片属性存在
✗ .remarks - 状态class不存在（实际是.hl-pic-text span）

第三步：修正选择器

// 错误（参考代码）
推荐: '.hl-vod-list;li;a&&title;a&&data-original;.remarks&&Text;a&&href',

// 正确（实际HTML结构）
推荐: '.hl-vod-list;li;a&&title;a&&data-original;.hl-pic-text span&&Text;a&&href',

第四步：验证搜索功能

测试发现搜索需要验证码
结论：searchable应设为0

第五步：最终可用配置

var rule = {
  title: '皮皮影视',
  host: 'https://www.pitv.cc',
  url: '/show/fyclassfyfilter/page/fypage/',
  searchable: 0,  // 搜索需要验证码，禁用
  class_name: '剧集&电影&动漫',
  class_url: '1&2&3',
  推荐: '.hl-vod-list;li;a&&title;a&&data-original;.hl-pic-text span&&Text;a&&href',
  一级: '.hl-vod-list&&.hl-list-item;a&&title;a&&data-original;.hl-pic-text span&&Text;a&&href',
  二级: {
    title: 'h1&&Text',
    img: '.hl-lazy&&data-original',
    tabs: '.hl-plays-from&&a',
    lists: '.hl-plays-list:eq(#id)&&a',
  },
}

drpy源属性详解

核心属性

属性	类型	说明	示例
类型	string	源类型：'影视'、'听书'、'漫画'、'小说'	'影视'
title	string	规则标题，在播放器中显示的名称	'鸭奈飞'
host	string	网站域名根，包含http/https协议	'https://yanetflix.com'
homeUrl	string	网站首页链接，用于获取分类和推荐	'/latest/'
url	string	分类页面链接模板	'/vod/show/id/fyclass/page/fypage.html'
searchUrl	string	搜索链接模板	'/vodsearch/紧箍咒/page/fypage.html'
searchable	number	是否启用全局搜索	1（启用）或0（禁用）
quickSearch	number	是否启用快速搜索	1（启用）或0（禁用）
filterable	number	是否启用筛选	1（启用）或0（禁用）

分类相关属性

// 静态分类配置
class_name: '电影&电视剧&动漫&综艺',
class_url: '1&2&3&4',

// 动态分类获取（推荐）
class_parse: '#side-menu:lt(1) li;a&&Text;a&&href;com/(.*?)/',
// 格式：列表选择器;标题选择器;链接选择器;正则提取（可选）

请求配置

// 请求头配置
headers: {
  'User-Agent': 'MOBILE_UA',
  'Cookie': 'searchneed=ok',
  'Referer': 'https://www.example.com/'
},

// 超时设置（毫秒）
timeout: 5000,

// 动态获取host（优先级最高）
hostJs: async function () {
  let {HOST} = this;
  return HOST
},

// 预处理（初始化时执行一次）
预处理: async function () {
  let {HOST} = this;
  return HOST
},

解析函数

drpy源的核心解析函数，用于获取不同页面的内容：

// 推荐内容获取
推荐: async function () {
  let {input} = this;
  // input为homeUrl的内容
  return []
},

// 一级列表获取
一级: async function () {
  let {input} = this;
  // input为url模板填入后的链接
  return []
},

// 二级详情获取
二级: async function () {
  let {input} = this;
  // input为一级返回的链接
  return {}
},

// 搜索内容获取
搜索: async function () {
  let {input} = this;
  // input为searchUrl模板填入后的链接
  return []
},

播放相关

// 免嗅播放解析
play_parse: true,

// lazy函数处理播放地址
lazy: async function () {
  let {input} = this;
  return {
    url: input,
    parse: 0
  }
},

// 辅助嗅探规则
sniffer: 1,
isVideo: "http((?!http).){26,}\\.(m3u8|mp4|flv|avi|mkv|wmv|mpg|mpeg|mov|ts|3gp|rm|rmvb|asf|m4a|mp3|wma)",

模板继承

方法一：Object.assign

var rule = Object.assign(muban.mxpro, {
  title: '鸭奈飞',
  host: 'https://yanetflix.com',
  url: '/index.php/vod/show/id/fyclass/page/fypage.html',
  class_parse: `.navbar-items li:gt(1):lt(6);a&&Text;a&&href;.*/(.*?).html`,
});

方法二：模板属性（新）

var rule = {
  title: 'cokemv',
  模板: 'mxpro',
  host: 'https://cokemv.me',
  class_parse: `.navbar-items li:gt(1):lt(7);a&&Text;a&&href;/(\\d+).html`,
}

方法三：自动匹配模板

var rule = {
  模板: '自动',
  模板修改: $js.toString(() => {
    Object.assign(muban.自动.二级, {
      tab_text: 'div--small&&Text',
    });
  }),
  title: '剧圈圈[自动]',
  host: 'https://www.jqqzx.cc/',
  url: '/vodshow/id/fyclass/page/fypage.html',
  searchUrl: '/vodsearch**/page/fypage.html',
  class_parse: '.navbar-items li:gt(2):lt(8);a&&Text;a&&href;.*/(.*?)\.html',
  cate_exclude: '今日更新|热榜',
}

不同类型源支持

影视源（默认）

标准的视频源，支持电影、电视剧、动漫等内容。

听书源

用法与影视源一致，播放音频内容。

漫画源

需要在lazy函数处理后返回pics://协议：

lazy: async function () {
  return "pics://图片链接1,图片链接2,图片链接3";
}

小说源

需要在lazy函数处理后返回novel://协议：

lazy: async function () {
  return 'novel://{"title":"章节名称","content":"章节内容"}';
}

正则表达式写法

在字符串属性（如class_parse）中使用正则表达式时需要注意转义：

需求	JavaScript正则	drpy字符串写法
数字	`/(\d+)/`	`(\\d+)`
任意字符	`/.*/`	`.*`
非贪婪匹配	`/(.*?)/`	`(.*?)`
多个分组	`/(\d+)-(\w+)/`	`(\\d+)-(\\w+)`

本地代理设置

proxy_rule: `js:
  log(input);
  input = [200,'text;plain','hello drpy']
`,

本地代理的input参数格式为三元素数组： [status_code, content_type, data]

示例：

// 返回M3U8文件
input = [200,'application/vnd.apple.mpegurl', m3u8_content];

// 返回文本
input = [200,'text/plain', 'hello world'];

常见问题排查

1. 连接超时

检查host是否正确
调整timeout值（默认5000毫秒）
检查网络连接

2. 解析失败

确认选择器是否正确
使用log()函数调试输出
检查网页结构是否变化

3. 播放失败

检查play_parse设置
确认lazy函数返回正确格式
验证sniffer规则是否匹配视频链接

4. 分类获取失败

确认class_parse格式正确
检查正则表达式转义
验证分类页面是否可访问

工具和资源

代码格式化

# 安装uglify-js
npm install uglify-js -g

# 压缩JS文件
uglifyjs source.js -o source.min.js

WebStorm配置

获取uglifyjs路径：where uglifyjs
配置外部工具：
- 程序: C:\Users\username\AppData\Roaming\npm\uglifyjs.cmd
- 参数: $FileName$ -o $FileNameWithoutExtension$.min.js
- 工作目录: $FileDir$

调试技巧

使用log()函数输出调试信息
分步测试各个解析函数
验证模板继承是否正确
检查属性拼写和格式

进阶功能

RSA加解密

// 加密
RSA.encode(data, key, option);

// 解密  
RSA.decode(data, key, option);

动态线路管理

// 线路顺序
tab_order: ['lzm3u8', 'wjm3u8', '1080zyk'],

// 线路名替换
tab_rename: {
  'lzm3u8': '量子资源',
  '1080zyk': '1080看',
},

// 移除线路
tab_remove: ['tkm3u8'],

图片处理

// 图片替换
图片替换: 'https://old-domain.com/=>https://new-domain.com/',

// 图片来源（添加referer）
图片来源: '@Referer=http://www.example.com@User-Agent=custom-ua',

Action与按钮

在drpy源的二级详情或其他交互页面中，可以通过返回action对象来定义按钮行为：

二级: async function () {
  return {
    // 视频详情信息
    vod_name: "影片名称",
    vod_play_from: "播放来源",
    vod_play_url: "第1集$播放地址",
    
    // Action配置
    action: {
      button: 2,  // 按钮类型：0-关闭, 1-取消, 2-确定和取消, 3-确定/取消/重置, 4-确定/取消/重置/预览
      // 其他action属性...
    },
  };
},

按钮类型说明

值	按钮组合	适用场景
0	关闭按钮	只提供关闭功能
1	取消按钮	简单确认场景
2	确定和取消	需要用户确认的操作
3	确定、取消、重置	表单或设置页面
4	确定、取消、重置、预览	复杂的编辑页面

自定义Action

除了按钮，action还可以包含其他指令：

action: {
  button: 2,
  message: "操作提示信息",
  redirect: "目标URL",
  // 其他自定义属性
},

工具与格式化

代码压缩

drpy源可以通过压缩减少文件大小：

# 安装uglify-js
npm install uglify-js -g

# 压缩JS文件
uglifyjs source.js -o source.min.js

# 推荐配置
uglifyjs source.js -o source.min.js -c -m --comments '/@license|@preserve/'

WebStorm配置

获取uglifyjs路径：where uglifyjs
配置外部工具：
- 程序: C:\Users\username\AppData\Roaming\npm\uglifyjs.cmd
- 参数: $FileName$ -o $FileNameWithoutExtension$.min.js
- 工作目录: $FileDir$

详细格式化指南见：formatting.md

常见错误与排查

错误1：首页/分类空白（选择器不匹配）

症状：分类能显示，但点击后列表为空

原因：参考代码的选择器与实际HTML不符

排查方法：

import requests
from bs4 import BeautifulSoup

headers = {'User-Agent': 'Mozilla/5.0...'}
html = requests.get('https://example.com/', headers=headers).text
soup = BeautifulSoup(html, 'html.parser')

# 检查选择器是否存在
print('hl-vod-list:', bool(soup.find(class_='hl-vod-list')))
print('hl-list-item:', bool(soup.find(class_='hl-list-item')))
print('remarks:', bool(soup.find(class_='remarks')))  # 可能不存在

# 查找实际的class名
for elem in soup.find_all(class_=True):
    if 'pic' in str(elem.get('class')) or 'text' in str(elem.get('class')):
        print(elem.name, elem.get('class'))

解决方案：

// 错误
推荐: '.hl-vod-list;li;a&&title;a&&data-original;.remarks&&Text;a&&href',

// 正确（根据实际HTML调整）
推荐: '.hl-vod-list;li;a&&title;a&&data-original;.hl-pic-text span&&Text;a&&href',

错误2：搜索功能异常

症状：搜索返回空结果或报错

排查方法：

# 测试搜索URL
search_resp = requests.get('https://example.com/search/关键词/', headers=headers)
print('状态码:', search_resp.status_code)
print('是否包含验证码:', '验证码' in search_resp.text)
print('是否包含结果:', 'hl-vod-list' in search_resp.text)

常见情况：

需要验证码 → 设置 searchable: 0 禁用搜索
URL格式错误 → 检查实际的搜索表单action
需要登录/Cookie → 添加Cookie到headers

错误3：二级详情页空白

症状：能进入详情页，但无播放列表

排查方法：

# 获取详情页HTML
detail_html = requests.get('https://example.com/vod/123/', headers=headers).text

# 检查关键元素
print('h1:', 'h1' in detail_html)
print('hl-plays-list:', 'hl-plays-list' in detail_html)
print('hl-plays-from:', 'hl-plays-from' in detail_html)

解决方案：

// 根据实际HTML调整二级选择器
二级: {
  title: 'h1&&Text',  // 使用h1而不是.hl-dc-title
  img: '.hl-lazy&&data-original',
  tabs: '.hl-plays-from&&a',  // 播放源
  lists: '.hl-plays-list:eq(#id)&&a',  // 剧集列表
}

错误4：URL模板错误

症状：分类点击后跳转错误页面

排查方法：

# 测试URL模板
# 参考代码: /show/fyclassfyfilter/page/fypage/
# 实际测试
for cls in ['1', '2', '3']:
    url = f'https://example.com/show/{cls}--------/page/1/'
    resp = requests.get(url, headers=headers)
    print(f'{url} -> {resp.status_code}')

解决方案：

// 确认URL格式
url: '/show/fyclassfyfilter/page/fypage/',  // fyclass和fyfilter连在一起
// 或
url: '/type/fyclass/',  // 简单的分类格式

调试技巧

1. 添加日志输出

推荐: `js:
  let html = request(input);
  log('首页HTML长度:', html.length);
  log('是否包含视频列表:', html.includes('hl-vod-list'));
  
  let items = pdfa(html, '.hl-vod-list li');
  log('提取到视频数量:', items.length);
  
  // 继续解析...
`,

2. 使用极简版本测试

// 先测试基础功能
var rule = {
  title: '测试源',
  host: 'https://example.com',
  url: '/type/fyclass/',
  class_name: '分类1&分类2',
  class_url: '1&2',
  推荐: 'a;a&&Text;;;a&&href',  // 只取标题和链接
  一级: 'a;a&&Text;;;a&&href',
  二级: '*',
  lazy: ''
};

3. 分步验证

分类 → 是否能正常显示
一级 → 点击分类后是否有列表
二级 → 点击进入详情页是否正常
播放 → 点击播放是否能正常解析

扩展阅读

详细参考资料

属性详解 - 所有属性的完整说明和示例
模板继承 - 模板系统的详细使用方法
解析函数 - 选择器语法和解析函数编写指南
问题排查 - 常见问题解决方案
代码格式化 - 代码压缩和格式化工具使用

实用模板文件

基础模板 - 适用于大多数CMS站的基础模板
MXPro示例 - MXPro模板继承完整示例
皮皮影视实战 - 皮皮影视完整配置（含注释）

辅助脚本

minify_drpy.js - drpy源压缩脚本
validate_drpy.js - drpy源格式验证脚本
analyze_site.py - 网站结构分析脚本

快速查找

任务	参考文档
新建一个drpy源	基础模板
了解所有属性含义	属性详解
使用模板继承	模板继承
编写解析函数	解析函数
调试源问题	问题排查
压缩源代码	代码格式化
分析网站结构	analyze_site.py

核心原则：

先验证，再编写 - 用Python获取HTML确认选择器存在
从简到繁 - 先用极简版本测试，再逐步完善
实际测试 - 不要完全相信参考代码，每个网站结构不同
记录问题 - 遇到的选择器不匹配问题要记录，避免重复踩坑

提示：创建drpy源时，建议先使用简单的模板测试基础功能，再逐步添加高级功能。使用模板继承可以大大简化开发过程。

About this skill

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Coding pack

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

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live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

LeoYeAI / openclaw-master-skills

skills/drpy-source-creator/SKILL.md

View on GitHub ↗

License MITImported 8/2/2026Version v1Bundled 11 files · scripts

Illustrative Want to see what leoyeai/drpy-source-creator would put in front of your model? Preview the rendered body and check its trigger phrases — no LLM call, no signup.

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Use this skill

drpy视频源创建与调试

概述

快速开始

实战案例分析：皮皮影视

分析步骤

drpy源属性详解

核心属性

分类相关属性

请求配置

解析函数

播放相关

模板继承

方法一：Object.assign

方法二：模板属性（新）

方法三：自动匹配模板

不同类型源支持

影视源（默认）

听书源

漫画源

小说源

正则表达式写法

本地代理设置

常见问题排查

1. 连接超时

2. 解析失败

3. 播放失败

4. 分类获取失败

工具和资源

代码格式化

WebStorm配置

调试技巧

进阶功能

RSA加解密

动态线路管理

图片处理

Action与按钮

按钮类型说明

自定义Action

工具与格式化

代码压缩

WebStorm配置

常见错误与排查

错误1：首页/分类空白（选择器不匹配）

错误2：搜索功能异常

错误3：二级详情页空白

错误4：URL模板错误

调试技巧

1. 添加日志输出

2. 使用极简版本测试

3. 分步验证

扩展阅读

详细参考资料

实用模板文件

辅助脚本

快速查找

SkillSafety

Source

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