以下为本文档的中文说明
skills-audit 是一个用于审计和评估 LobeHub 生态系统中技能(Skills)质量的工具。LobeHub 是一个开源的 AI 助手平台,支持丰富的插件和技能扩展机制,开发者可以为其创建各种功能技能。该技能的核心功能是对已注册的技能进行全面的质量检查,包括代码质量、文档完整性、安全性和兼容性等方面。使用场景包括:在将新技能发布到 LobeHub 市场前进行质量审查、定期审计已有技能的运行状态和兼容性、评估技能是否符合社区标准和质量规范。核心特点包括:自动检测技能的基本元数据完整性,包括名称、描述、版本号、作者信息等必要字段的完整性;检查技能配置文件是否符合 LobeHub 的 Schema 规范;验证技能的 API 接口定义和参数设置是否正确,包括输入输出的类型匹配;评估技能的安全风险,检测可能存在的注入漏洞、敏感信息泄露或不安全的默认配置;生成结构化的审计报告,标注问题等级(严重、警告、建议),并提供修复建议。该技能帮助维护 LobeHub 技能市场的整体质量水平。此外,该技能还支持审计历史的追踪和趋势分析,帮助团队持续监控技能质量的改进情况,并提供与 LobeHub CI/CD 流水线的集成方案,实现自动化质量门禁。
Skills Audit
Periodic review of the project-local skill set under.agents/skills/. The goal is to catch drift before the catalog becomes confusing — too many skills, overlapping triggers, descriptions that no longer match the body, references to skills that were renamed/deleted.
Recommended cadence:weekly, or after any week where >1 skill was added/renamed.
Procedure
1 — Inventory
Build a fresh census of all SKILL.md files. Do NOT trust any prior cached list.
find.agents/skills-nameSKILL.md|wc-l# total countfind.agents/skills-nameSKILL.md-execwc-l{}\\;|sort-rn# by body lengthGroup by domain in a mental table (DB / state / UI / agent / testing / workflow / docs / etc.). Note new arrivals since last audit (git log --since="1 week ago" -- .agents/skills/).
2 — Pull frontmatter for all skills
# Extract name + description for each SKILL.mdforfin.agents/skills/*/SKILL.md;doecho"===$(basename$(dirname $f))==="awk'/^---$/{c++; next} c==1'"$f"|head-20doneRead the description block of every skill. The body can stay unread unless step 4 flags it.
3 — Detect overlap / redundancy
For each pair within the same domain, ask:
- Same description? → likely duplicate (one is probably a stale rename leftover, or a global-vs-local collision).
- Trigger keywords substantially overlap? → either merge, OR tighten one description so the model can choose unambiguously.
- One skill’s body says “see also: foo”? → confirm
foostill exists, AND confirm the cross-reference is still meaningful (the referenced skill may have absorbed the referrer’s concerns). - Skill duplicates content from
AGENTS.md? → fold into AGENTS.md or slim the skill to just the delta.
Common false positives (do NOT merge):
db-migrationsvsdrizzle— distinct workflows (migration files vs schema authoring).microcopyvsi18n— content vs mechanics.agent-runtime-hooksvsagent-tracingvsagent-signal— different surfaces of the agent system.testingvslocal-testingvscli-backend-testing— different test types.
4 — Description format consistency
Apply thestandard template:
{Topic + key conventions or scope}. Use when {scenarios — verbs + nouns}. Triggers on {`code-symbols`, 'natural phrases', '中文'}.Skills withdisable-model-invocation: true(user-invoked only, slash commands) don’t needTriggers on— they’re never auto-routed.
Flag descriptions that:
- ❌ Have NO
Use whenclause (model can’t decide when to load it). - ❌ Have NO
Triggers onclause (and aren’tdisable-model-invocation). - ❌ Use weird formats (numbered lists
(1)(2)(3),Triggers:colon instead ofTriggers on,MUST use when ...as opening word). - ❌ Are dramatically terse for a 200+ line body, or dramatically verbose for a 60-line body.
- ❌ Reference deleted/renamed skills.
5 — Stale-skill check
For narrow domain skills (e.g.response-compliance, one-off CLI workflows):
# Confirm the referenced code surface still existsrg-l"response-compliance|openresponses"packages/ src/# adjust per skillgitlog--since="3 months ago"-- .agents/skills/<skill>/SKILL.md# is it being maintained?If the underlying surface is gone and the skill hasn’t been edited in 3+ months → flag for archival.
6 — Cross-reference integrity
Any skill body mentioning another skill by name:
# Scan all skill bodies for skill-name referencesrg-o'`[a-z][a-z0-9-]+`'.agents/skills/*/SKILL.md|grep-v':\\s*$'|sort-uFor each name extracted, confirm.agents/skills/<name>/SKILL.mdexists. Broken references happen after renames — fix them in the same audit pass.
7 — Output report
Produce a markdown summary back to the user with the same structure as the original audit (this skill was created during one):
## 📊 Inventory {count, domain breakdown} ## 🎯 Recommendations ### 🔴 High confidence - { action} — {reason} ### 🟡 Medium confidence - {action} — {reason needs verification} ### 🟢 Low confidence / no-op - {item considered but skipping because ...} ## 📋 Suggested order {table of actions with risk + LOC estimate}End by asking the user which actions to apply — do NOT auto-apply unless the user passed--applyand even then confirm destructive deletes individually.
Output rules
- Be specific. “Skill X overlaps with Y” is useless without naming the overlapping triggers.
- Cite line numbers when flagging description / body issues.
- Don’t recommend merges unless the call sites would actually load the merged skill in the same context.
- Don’t recommend deletes for skills that haven’t been touched recently — “unused” can mean “stable”, not “dead”.
What NOT to do
- ❌ Don’t rename skill directories without checking for cross-references AND user memory entries that name the old slug.
- ❌ Don’t normalize a description by removing trigger keywords just to fit the template — the keywords are the routing signal.
- ❌ Don’t fold a heavy 200+ line skill into another just because they share a domain — large skills get loaded selectively and merging makes everything load.
- ❌ Don’t propose
.agents/skills/INDEX.mdor<domain>-<skill>prefix renames unless the user explicitly asks — costs > benefits for cosmetic reorgs.
Related history
- First audit:
chore/skills-auditbranch (2026-05-25) — deletedsource-command-dedupe, renameddata-fetching→data-fetching-architecture, normalized 9 descriptions, created this skill.
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