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Anbeime/Skill Template — measured AI agent skill | DecimalAI

anbeime/skill-template

SkillScore82Maintained

技能创建模板。复制此目录并修改 SKILL.md 即可创建新技能。请将所有 <占位符> 替换为实际内容。

by anbeime

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Doc Ops pack

decimalai skills pull anbeime-skill-template

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/anbeime-skill-template/SKILL.md

Raw file: /s/anbeime-skill-template/SKILL.md ↗ · machine-readable summary at /s/anbeime-skill-template.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 5d ago

Yes — +27% lift+12% tokens0% turns82% of whole cases pass with skill (18/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-07	✗→✓	▲ Improved	24%	0%
case-08	✗→✓	▲ Improved	12%	0%
case-09	✗→✓	▲ Improved	8%	0%
case-14	✗→✓	▲ Improved	-16%	0%
case-17	✗→✓	▲ Improved	14%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

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

anbeime / skill

skills/_template/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

<技能标题>

任务目标

本技能用于：<一句话描述技能用途>
能力包含：<能力1>、<能力2>、<能力3>
触发条件：<什么场景下使用此技能>

使用方式

输入

<描述用户需要提供什么输入>

| 参数 | 类型 | 必填 | 说明 | |------|------|------|------| | input_text | string | 是 | 输入文本 | | mode | string | 否 | 处理模式 (默认: auto) |

输出

<描述技能的输出格式>

json
{
  "result": "处理结果",
  "metadata": {
    "processing_time": "0.5s",
    "status": "success"
  }
}

核心逻辑

步骤 1: <步骤名称>

<详细说明此步骤的逻辑>

步骤 2: <步骤名称>

<详细说明此步骤的逻辑>

步骤 3: <步骤名称>

<详细说明此步骤的逻辑>

注意事项

<注意事项 1>
<注意事项 2>
<注意事项 3>

示例

示例 1: <场景描述>

输入:

<示例输入>

输出:

<示例输出>

示例 2: <场景描述>

输入:

<示例输入>

输出:

<示例输出>

Want to see if anbeime/skill-template would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.