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项目化身术:把 repo / 技术栈 / 方法论 / 现有 skill 蒸馏成一个高知识密度、可直接运行的 `SKILL.md`。 目标不是产出 bundle,而是产出“技术化身”:能复现对象的判断、边界、偏好、反模式与求证路径。 适用于:蒸馏项目、框架、SDK、工程体系、已有 skill。
Passed 15 of 20 test cases with the skill, and 12 of 20 without it.
and 3 more in the full report
6 fixed11 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
生成 SKILL.md 之后需要进行哪四种特定验证测试/请列出这四种测试方法的名称。
| Checked | Without skill | With skill |
|---|---|---|
| The response details four validation methodologies covering replay testing, extrapolation, boundary testing, and isolated single-file verification. | Missed | Passed |
The instructions your model reads when the skill loads.
不做文档复印机,只做判断压缩机。
项目化身不是“介绍这个东西是什么”,而是把一个对象压缩成一份可继续做判断的认知器官。
一个合格的技术化身,至少要让后续的 agent / harness / 人类读者只靠这一份 SKILL.md 就知道:
关键区分:
SKILL.md最终产物只有:
<runtime-skill-root>/<slug>/
└── SKILL.md
其中 <runtime-skill-root> 指的是agent 运行时可直接发现和加载的安装目录,例如:
<project-root>/.agents/skills/
<project-root>/.codex/skills/
$CODEX_HOME/skills/
~/.codex/skills/
不生成 constitution.yaml、sources.jsonl、bundle-spec.json、evals.md、references/、scripts/。
test cases passed, vs 12 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.