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agentic-layer-auditAgent 层审计

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

490

周安装

20

GitHub Stars

61

下载量

157
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agentic-layer-audit(Agent 层审计)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/agentic-layer-audit
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill agentic-layer-audit
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill agentic-layer-audit

简介

用于辅助安全审计、权限检查和常见漏洞排查。

  • 适合让 Agent 梳理敏感配置、分析鉴权逻辑或生成安全复核清单。
  • 提供 Agentic 层覆盖度评估与投资规划建议。
  • 安装命令:npx skills add https://github.com/melodic-software/claude-code-plugins --skill agentic-layer-audit。
  • 不能将工具输出直接作为最终结论,涉及密钥或用户数据时应先确认最小权限。

SKILL.md

Agentic Layer Audit Skill

Evaluate a codebase's agentic layer maturity and identify investment opportunities.

When to Use

  • Assessing current agentic layer coverage
  • Identifying gaps in automation
  • Planning agentic layer investments
  • Measuring progress toward 50%+ agentic time

Core Concept

"Am I working on the agentic layer or am I working on the application layer?"

This skill helps answer that question by auditing what exists.

Audit Checklist

1. Commands Directory

Check for .claude/commands/ or equivalent:

Look for:
- chore.md      # Chore planning template
- bug.md        # Bug fix template
- feature.md    # Feature planning template
- implement.md  # Implementation HOP
- test.md       # Test execution template
- review.md     # Review template

2. Specs Directory

Check for specs/ or equivalent:

Look for:
- Issue-based specs (issue-*.md)
- Generated plans (chore-*.md, feature-*.md)
- Deep specs (complex multi-file architectures)

3. ADW Directory

Check for adws/ or equivalent:

Look for:
- adw_modules/agent.py  # Core agent execution
- Gateway scripts (adw_prompt.py, adw_slash_command.py)
- Composed workflows (adw_*_*.py)
- Triggers (trigger_*.py)

4. Hooks Directory

Check for .claude/hooks/ or equivalent:

Look for:
- pre_tool_use hooks
- post_tool_use hooks
- user_prompt_submit hooks

5. Agent Output Directory

Check for agents/ or equivalent:

Look for:
- ADW ID directories
- State files (adw_state.json)
- Output files (cc_*.jsonl, cc_*.json)

6. Worktree Support

Check for trees/ or equivalent:

Look for:
- Git worktree setup
- Isolation configuration
- Port allocation patterns

Coverage Scoring

ComponentPointsPresent?
.claude/commands/20
specs/15
adws/25
adw_modules/agent.py20
hooks/10
agents/5
trees/5

Total: 100 points

ScoreLevelRecommendation
0-20NoneStart with minimum viable layer
21-40BasicAdd composed workflows
41-60DevelopingAdd hooks and triggers
61-80AdvancedAdd worktree isolation
81-100CompleteFocus on optimization

Key Memory References

  • @agentic-layer-structure.md - What to look for
  • @the-guiding-question.md - Why this matters
  • @agentic-vs-application.md - Layer separation

Output Format

## Agentic Layer Audit Report

**Project:** {name}
**Audit Date:** {date}
**Coverage Score:** {score}/100

### Components Found
- [x] .claude/commands/ (5 templates)
- [x] specs/ (12 specs)
- [ ] adws/ (not found)
- [ ] hooks/ (not found)

### Maturity Level
{Level} - {Recommendation}

### Gaps Identified
1. No ADW scripts for workflow orchestration
2. No hooks for event-driven automation
3. No worktree isolation for parallelization

### Recommended Investments
1. Create adws/adw_modules/agent.py
2. Add gateway script (adw_prompt.py)
3. Create composed workflow for common tasks

### Time Investment Analysis
- Current: ~20% agentic layer
- Target: 50%+ agentic layer
- Gap: Need 30% more investment in agentic work

Anti-Patterns to Identify

  • Commands exist but no specs (templates unused)
  • Specs exist but no ADWs (manual execution)
  • Many one-off scripts instead of composed workflows
  • Application layer dominant (>70% of codebase)

Version History

  • v1.0.0 (2025-12-26): Initial release

Last Updated

Date: 2025-12-26 Model: claude-opus-4-5-20251101

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Antigravity

28.98%
按下载量换算45

Claude Code

22.56%
按下载量换算35

Codex

18.92%
按下载量换算30

Gemini CLI

11.04%
按下载量换算17

OpenCode

8.25%
按下载量换算13

trae

3.72%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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