Skill Portfolio Audit

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

Skill 组合审计与机会评估

一句话选型结论

按资料字段整理

Skill Portfolio Audit是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_7fbe8d41/skill-portfolio-audit
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_7fbe8d41仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791622858
正文体量8.6 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Skill Portfolio Audit当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

8.6 KB
模型实际读到的说明书原文,来自技能仓库

Skill Portfolio Audit

When to use

  • The user wants to inventory existing Skills, identify duplicates or stale versions.
  • The user wants to find workflows worth turning into Skills from high-frequency work.
  • The user needs to distinguish private Skills, config-reusable Skills, and publicly shareable Skills.
  • The user needs Skill portfolio merge, split, maintenance, and publish prioritization.

Workflow

Step 1: [Deterministic] Define scope

  1. Confirm the scan range: user-level Skills, project-level Skills, published copies, and scattered workflow scripts/docs within projects.
  2. Read-only audit; do not delete, publish, or move original Skills.
  3. Distinguish four asset types: installed generic Skills, self-built user-level Skills, project-level Skills, and un-encapsulated script/doc workflows.

Step 2: [Deterministic] Inventory existing Skills

  1. Enumerate all SKILL.md files.
  2. Read frontmatter, Workflow, Hard Rules, Failure Handling, Output Format, and supporting files.
  3. Record: name, path, version, enabled status, agent_created, dependencies, personal-data dependencies, company-data dependencies, maturity.
  4. For same-name or same-function copies, compute hashes or compare versions to identify missing single-source-of-truth and version drift.

Step 3: [LLM] Map recurring work

Aggregate high-frequency work from three evidence layers:

  1. File output volume and date distribution (e.g. daily reports, analyses, layout HTML).
  2. Work logs and long-term memory for sustained tasks.
  3. Historical conversations for repeated requests and representative cases.

For each workflow, record: trigger, input, stable steps, variable steps, output, frequency evidence, existing Skill coverage, failure cost, sensitivity.

Step 4: [LLM] Decide the right form

Judge in this order:

  1. Only needs rules or format constraints, with clear input/output: a single Skill.
  2. Multi-step sequence with checkpoints: a Workflow Skill.
  3. Subtask count and path vary with materials: an Agent.
  4. Low-frequency, one-off, mainly depends on ad-hoc judgment: do not Skill-ify.

Avoid stuffing everything into one God Skill. Prefer establishing orchestration Skills that reuse existing search, writing, review, layout, and publishing Skills.

Step 5: [LLM] Score candidates

Score each 0-5:

Dimension Meaning
Frequency Daily/weekly recurring gets high score
Stability More stable steps and acceptance criteria = higher
Time saved Saves time, reduces omissions or errors
Independence Can form a clear input/output boundary
Transferability Reusable across users and industries
Evidence accumulated Has templates, scripts, failure cases, real outputs
Maintenance cost Fragile data sources, frequently changing rules = deduction

Total score guidance:
- 26-35: P0, design or maintain immediately.
- 20-25: P1, run a round of real-task validation first.
- 14-19: P2, keep as a module or reference doc.
- Below 13: do not Skill-ify for now.

Step 6: [LLM] Classify sharing value

Type Criteria Action
Public No personal/company data; runs with config swap Can share publicly
Configurable Method is generic, but contains private paths, vendor lists, style rules, or connectors Share after extracting config.example
Private Core value depends on holdings, identity, internal materials, customer info, or account structure Local use only
Do not publish Contains tokens, database IDs, customer names, internal org info, or unpublished positions Block publish, clean up first

Sharing value also considers: whether the target audience is clear, whether existing supply is scarce, whether results are verifiable, and whether maintenance responsibility is sustainable.

Step 7: [LLM] Produce roadmap

Output must include:

  1. Current work landscape and high-frequency evidence.
  2. Existing Skill asset map.
  3. P0/P1/P2 candidate matrix.
  4. Merge, split, retain, stop-maintaining recommendations.
  5. Private/Configurable/Public sharing classification.
  6. 30/60/90-day roadmap.
  7. P0 risks: hardcoded credentials, personal data, company internal info, version drift.
  8. Persistent execution queue: build dependency-linked tasks for all confirmed actions, so completing one P0 does not lose the remaining items.
  9. After completing each item, update the execution ledger and claim the next unblocked task from the task list.

Hard Rules

  1. Do not infer maturity from filename alone; at least read representative SKILL.md files.
  2. Do not equate "frequently done" with "should be Skill-ified"; must check step stability and acceptance criteria.
  3. Do not put personal style corpus, investment holdings, or company internal positions into a public Skill.
  4. When hardcoded credentials are found, mark P0; in the report, state the location and risk only — do not reproduce the credential value.
  5. Publishing and deletion are external or destructive actions, requiring separate confirmation; this audit only gives recommendations.
  6. Conclusions must give evidence: file counts, version hashes, representative cases, or historical conversations.
  7. At audit completion, all confirmed items must be written into a persistent task queue with dependencies; do not execute only the first item and forget the rest.
  8. Task status can only be marked complete after acceptance passes; after completing each item, check and claim the next unblocked task.

Failure Handling

Scenario Action
Too many Skills Full enumeration first, then detail-audit self-built and high-frequency Skills; installed generic Skills summarized by category
Sub-agent or search fails Retry and cross-validate with Glob/Read/local stats; do not stop on single failure
Insufficient conversation recall Use project logs, output file counts, and representative files as supplementary evidence; note evidence boundaries
Same-name copies with different content Flag version drift; recommend setting one authoritative source and one-way publish flow
Personal data mixed with generic method Split into public engine + private config/data layer

Output Format

# Skill Portfolio and High-Frequency Work Audit

## Conclusion
## Current Work Landscape
## Existing Skill Assets
## Candidate Scorecard Matrix
## Merge and Split Recommendations
## Sharing Value Classification
## 30/60/90-Day Roadmap
## P0 Risks and Immediate Actions
## Evidence and Boundaries

Pitfalls

  • Giving a roadmap without building a task queue makes it easy to lose remaining items after completing the first P0. Audit delivery must include tasks, dependencies, status, and next-item claim rules.
  • Setting all P0s to in-progress simultaneously widens the work surface. Default: only one main task in progress; others stay pending with dependency management.

Verification

  • [ ] Covered user-level, project-level, and published copies.
  • [ ] Each P0 candidate has frequency and real-output evidence.
  • [ ] Distinguished Skill, Workflow Skill, Agent, and do-not-Skill-ify.
  • [ ] Checked for credentials, personal data, company internal data, and external publish risk.
  • [ ] Identified same-name copies and version drift.
  • [ ] Recommendations can be acted on: retain, merge, split, private, or publish.

常见问题

5 问
答案由本站依据条目字段整理
Skill Portfolio Audit怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_7fbe8d41/skill-portfolio-audit。安装方式为未标注。装完刷新技能列表或重开客户端。

Skill Portfolio Audit支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Skill Portfolio Audit权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Skill Portfolio Audit收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Skill Portfolio Audit用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。