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蒸笼：蒸馏任何人的叙事入口——对齐数字永生引擎，强调生活化「蒸」与公开方法论顾问场景；委托上级 kit/personas 执行。
Passed 16 of 21 test cases with the skill, and 5 of 21 without it.
and 11 more in the full report
12 fixed5 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the Steamer path convention, what directory path does {baseDir} refer to relative to the repository?
| Checked | Without skill | With skill |
|---|---|---|
| Define {baseDir} as steamer-skill/ relative to the repository | Missed | Passed |
The instructions your model reads when the skill loads.
steamer-skill/SKILL.md。immortal-skill/（若文件夹改名，以存在 kit/immortal_cli.py 与根 SKILL.md 的目录为准）。SKILL.md 对齐；采集/封包命令形如：python3 kit/immortal_cli.py ...（均在仓库根下执行）。FOR_AI.md 再选段落。根据用户第一条消息的语言，全程使用同一语言。
蒸笼 = 同一个数字永生引擎，换一副好讲的家常叙事。
技术动作与根目录 SKILL.md 一致：选角色 → 采集 → 分维度提取 → 证据分级 → 封包。
{baseDir}（即 steamer-skill/）。{repoRoot} = {baseDir}/..（仓库根）。{repoRoot} 下。读取 {repoRoot}/personas/ 下对应模板；公众人物必读 {repoRoot}/personas/public-figure.md。
test cases passed, vs 5 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.