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Infinite Agent Loop - 无限Agent蜂群模式 · alchaincyf | DecimalAI

agent toolingby alchaincyf

Infinite Agent Loop - 无限Agent蜂群模式

alchaincyf/huashu-agent-swarm

Source alchaincyf/huashu-skills ↗License Not recorded

多Agent蜂群并行协作，纯git自组织，适合大型项目开发。当用户提到"蜂群模式"、"多agent"、"并行开发"、"agent swarm"时使用。

SkillScore91Maintained

Automatic

AI Engineer pack

Last verified 9/29/2026

What it changes

Passed 19 of 21 test cases with the skill, and 6 of 21 without it.

Without skill30%

With skill91%

Checks it passed that the model alone missed

Identifies current_tasks as a created directory.
Identifies dashboard.py as the script to launch.
Identifies port 8420 as the web monitoring port.

and 17 more in the full report

14 fixed7 passed either way2 still failing0 broke

Pass-rate lift: +61 pp
Tokens: +5%
Agent turns: 0%
Response time: -40%

Model gemini-3.6-flashMeasured 9/29/2026v121 of 23 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/alchaincyf-huashu-agent-swarm/SKILL.md https://app.decimal.ai/s/alchaincyf-huashu-agent-swarm/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add alchaincyf-huashu-agent-swarm, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/alchaincyf-huashu-agent-swarm/ and pins it in .decimal/skills.lock

decimalai skills add alchaincyf-huashu-agent-swarm

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/alchaincyf-huashu-agent-swarm/SKILL.md https://app.decimal.ai/s/alchaincyf-huashu-agent-swarm/SKILL.md

Raw file: /s/alchaincyf-huashu-agent-swarm/SKILL.md ↗ · machine-readable summary at /s/alchaincyf-huashu-agent-swarm.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 13

Prompt

What specific Claude model identifier is configured by default inside `agent_loop.sh` for agent execution?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies claude-opus-4-6 as the default model specified in agent_loop.sh.	Missed	Passed

case-18 · gemini-3.6-flash · 9/29/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md124 lines10 filesincludes scripts

Infinite Agent Loop - 无限Agent蜂群模式

受Nicholas Carlini用16个Claude实例自主构建C编译器的启发。没有master agent，纯git自组织，每个agent独立认领任务、写代码、推送。

触发条件

当用户提到「蜂群模式」「多agent并行」「infinite loop」「agent swarm」「启动蜂群」时使用此技能。

前置要求

tmux（brew install tmux）
claude CLI（已安装）
git 仓库（已有或新建）

使用流程

Step 1: 描述项目

用户告诉我：

项目目录路径（必须是git仓库）
项目目标和总体描述
初始任务列表（或让agent自行拆解）
agent数量（默认8个）
代码规范和测试命令

Step 2: 初始化项目

bash SKILL_DIR/scripts/setup_project.sh <项目目录>

这会在项目中创建：

AGENT_PROMPT.md - 从模板生成，需要我根据用户需求定制
TASKS.md - 初始任务清单
current_tasks/ - 任务认领目录
agent_logs/ - 日志目录

然后我根据 references/agent-prompt-template.md 定制 AGENT_PROMPT.md，填入项目具体信息。

Track record

Benchmark

19 / 21

test cases passed, vs 6 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 8/31/2026

View 15 scanner checks

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

alchaincyf / huashu-skills

huashu-agent-swarm/SKILL.md

View on GitHub ↗

Imported 8/31/2026Version v1Bundled 9 files · scripts

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Infinite Agent Loop - 无限Agent蜂群模式

触发条件

前置要求

使用流程

Step 1: 描述项目

Step 2: 初始化项目

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills