agf-skill-stocktake
Use when PL / tech-lead audits the content quality of AGF's own skills (`.claude/skills/agf-*/SKILL.md`). Provides the 5-dimension checklist (Actionability / Scope fit / Uniqueness vs CLAUDE.md+standards / Currency of pointers / Gate-binding validity), 5-verdict rubric (Keep/Improve/Update/Retire/Merge), reason-quality bar (反敷衍), and output skeleton. Triggered each MINOR release retro or manually.
npx skills add pcliangx/AppGenesisForge --skill agf-skill-stocktake --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Skill Stocktake(AGF 自有 skill 内容质量审计) Use this skill when: - MINOR release retro 时审 AGF 自有 skill 是否腐化 - 手动盘点 skill 质量(感觉 skill 集膨胀 / 指针过期 / 内容重叠) - 新增 / 删除 skill 后回归一次确保无重叠 ## What it is — and is not **Skill Stocktake** 审计 AGF 自有治理型 skill 的**内容质量**——不是语法(`lint-all.sh` 管)、不是 SSOT drift(`gen-roles.py --check` 管)。它审 skill 是否仍 actionable / scope-fit / unique / 指针新鲜 / 绑定有效 gate。 **不审**:第三方 skill(`docx
What does the agf-skill-stocktake skill do?
Use when PL / tech-lead audits the content quality of AGF's own skills (`.claude/skills/agf-*/SKILL.md`). Provides the 5-dimension checklist (Actionability / Scope fit / Uniqueness vs CLAUDE.md+standards / Currency of pointers / Gate-binding validity), 5-verdict rubric (Keep/Improve/Update/Retire/Merge), reason-quality bar (反敷衍), and output skeleton. Triggered each MINOR release retro or manually.
How do I install it?
Run `npx skills add pcliangx/AppGenesisForge --skill agf-skill-stocktake --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From pcliangx/AppGenesisForge, a repository with 359 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.