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用于审计 Claude 技能与命令质量，支持快速扫描和全量盘点评估。
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "skill-stocktake" 技能： 1. 下载 https://raw.githubusercontent.com/affaan-m/ECC/main/skills/skill-stocktake/SKILL.md 2. 保存为 ~/.claude/skills/skill-stocktake/SKILL.md 3. 装好后重载技能，告诉我可以用了
请对最近变更的 Claude skills 和 commands 做一次 Quick Scan，只检查变更项，按质量问题、风险等级、修复建议输出结果。
一份仅针对变更项的审计结果，包含问题清单、严重程度与改进建议。
请执行 Full Stocktake，对当前全部 Claude skills 与 commands 进行顺序批量评估，并汇总重复、缺陷、不一致和优先修复项。
一份全量质量盘点报告，涵盖整体健康度、主要问题和优先整改列表。
在发布前审计这批 Claude skills 和 commands，判断是否达到上线标准；如果未达标，请列出阻塞问题和建议处理顺序。
一份发布评审结论，说明是否可上线，并附阻塞项与处理优先级。
Slash command (/skill-stocktake) that audits all Claude skills and commands using a quality checklist + AI holistic judgment. Supports two modes: Quick Scan for recently changed skills, and Full Stocktake for a complete review.
The command targets the following paths relative to the directory where it is invoked:
| Path | Description |
|---|---|
~/.claude/skills/ | Global skills (all projects) |
{cwd}/.claude/skills/ | Project-level skills (if the directory exists) |
At the start of Phase 1, the command explicitly lists which paths were found and scanned.
To include project-level skills, run from that project's root directory:
cd ~/path/to/my-project
/skill-stocktake
If the project has no .claude/skills/ directory, only global skills and commands are evaluated.
| Mode | Trigger | Duration |
|---|---|---|
| Quick Scan | results.json exists (default) | 5–10 min |
| Full Stocktake | results.json absent, or /skill-stocktake full | 20–30 min |
Results cache: ~/.claude/skills/skill-stocktake/results.json
Re-evaluate only skills that have changed since the last run (5–10 min).
~/.claude/skills/skill-stocktake/results.jsonbash ~/.claude/skills/skill-stocktake/scripts/quick-diff.sh \ ~/.claude/skills/skill-stocktake/results.json
(Project dir is auto-detected from $PWD/.claude/skills; pass it explicitly only if needed)[]: report "No changes since last run." and stopbash ~/.claude/skills/skill-stocktake/scripts/save-results.sh \ ~/.claude/skills/skill-stocktake/results.json <<< "$EVAL_RESULTS"Run: bash ~/.claude/skills/skill-stocktake/scripts/scan.sh
The script enumerates skill files, extracts frontmatter, and collects UTC mtimes.
Project dir is auto-detected from $PWD/.claude/skills; pass it explicitly only if needed.
Present the scan summary and inventory table from the script output:
Scanning:
✓ ~/.claude/skills/ (17 files)
✗ {cwd}/.claude/skills/ (not found — global skills only)
| Skill | 7d use | 30d use | Description |
|---|
Launch an Agent tool subagent (general-purpose agent) with the full inventory and checklist:
Agent(
subagent_type="general-purpose",
prompt="
Evaluate the following skill inventory against the checklist.
[INVENTORY]
[CHECKLIST]
Return JSON for each skill:
{ \"verdict\": \"Keep\"|\"Improve\"|\"Update\"|\"Retire\"|\"Merge into [X]\", \"reason\": \"...\" }
"
)
The subagent reads each skill, applies the checklist, and returns per-skill JSON:
{ "verdict": "Keep"|"Improve"|"Update"|"Retire"|"Merge into [X]", "reason": "..." }
Chunk guidance: Process ~20 skills per subagent invocation to keep context manageable. Save intermediate results to results.json (status: "in_progress") after each chunk.
After all skills are evaluated: set status: "completed", proceed to Phase 3.
Resume detection: If status: "in_progress" is found on startup, resume from the first unevaluated skill.
Each skill is evaluated against this checklist:
- [ ] Content overlap with other skills checked
- [ ] Overlap with MEMORY.md / CLAUDE.md checked
- [ ] Freshness of technical references verified (use WebSearch if tool names / CLI flags / APIs are present)
- [ ] Usage frequency considered
Verdict criteria:
| Verdict | Meaning |
|---|---|
| Keep | Useful and current |
| Improve | Worth keeping, but specific improvements needed |
| Update | Referenced technology is outdated (verify with WebSearch) |
…
为 Quarkus 项目执行发布前验证闭环，涵盖构建、测试、扫描与差异审查。
智能分析需求并推荐、优化或创建适用于 Claude Code 与 Codex 的技能。