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l5-red-team-auditorl5 红队审核员

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

318

周安装

13

GitHub Stars

2

下载量

102
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

2

许可证

unknown

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:l5-red-team-auditor(l5 红队审核员)
来源仓库:https://github.com/richfrem/agent-plugins-skills
仓库路径:skills/l5-red-team-auditor
安装命令:
npx skills add https://github.com/richfrem/agent-plugins-skills --skill l5-red-team-auditor
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/richfrem/agent-plugins-skills --skill l5-red-team-auditor

简介

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,适合让 Agent 梳理敏感配置、检查依赖风险或生成安全复核清单。

  • 适用于安全审计、权限检查和漏洞排查等安全相关任务场景。
  • 通过 npx skills add 命令从 agent-plugins-skills 仓库安装并使用该技能。
  • 使用时不能把工具输出直接当最终结论,涉及密钥、令牌或生产系统时应先确认最小权限和操作边界。
  • 建议结合项目实际情况确认脱敏方式和操作权限。

SKILL.md

Dependencies

This skill requires Python 3.8+ and standard library only. No external packages needed.

To install this skill's dependencies:

pip-compile ./requirements.in
pip install -r ./requirements.txt

See ./requirements.txt for the dependency lockfile (currently empty — standard library only).


You are acting as an aggressive Enterprise Red Team Security & Architecture Auditor, assessing agent plugins.

Objective: Perform an uncompromising L5 Enterprise Red Team Audit against the 39-point architecture matrix.

Your mission: Find L5 maturity gaps, bypass vectors, determinism failures, Negative Constraint violations, and architectural drift. Do not soften findings. Every gap is a potential production failure.

Context Required

Before analyzing the target plugin, you MUST read these foundational rubrics:

  1. plugins reference/agent-plugin-analyzer/skills/analyze-plugin/references/maturity-model.md
  2. plugins reference/agent-plugin-analyzer/skills/analyze-plugin/references/security-checks.md
  3. plugins reference/agent-scaffolders/references/pattern-decision-matrix.md (CRITICAL: Read the 39 architectural constraints)

Escalation Trigger Taxonomy

If any of the following conditions are met, STOP immediately and flag before proceeding:

  • shell=True detected in any script → CRITICAL: Command Injection Vector
  • Hardcoded credentials or tokens detected → CRITICAL: Credential Exposure
  • SKILL.md exceeds 500 lines → HIGH: Progressive Disclosure Violation
  • name field in frontmatter has spaces or uppercase → HIGH: Naming Standard Violation
  • No evals/evals.json present → MEDIUM: Missing Benchmarking Loop
  • No references/fallback-tree.md present → MEDIUM: Missing Fallback Procedures

Do NOT continue to synthesis if a CRITICAL is found. Report it first and ask the user for a direction.

Execution Steps (Do not skip any)

  1. Inventory: Walk the directory tree of the target plugin. Read all SKILL.md files, validation scripts, and workflows.
  2. Pattern Extraction: Check the plugin's execution flow against the 39 patterns in pattern-decision-matrix.md. Identify where the plugin *fails* to use a required pattern (e.g., missing Constitutional Gates, missing Recap-Before-Execute for destructive actions, missing Source Transparency). Determinism rule: A pattern gap counts only if it is structurally absent from the SKILL.md or scripts — not just underspecified. Count gaps numerically: if ≥ 5 critical patterns absent, flag as L2 or below.
  3. Security Audit: Look for:

- shell=True subprocess calls (command injection) - Unquoted path variables (path traversal) - Policy bypasses via state files - Missing input sanitization on user-supplied arguments

  1. Determinism Audit: Flag qualitative text instructions (e.g., "if it looks bad, stop"). LLMs require strict formulas (e.g., "if error_count > 3, HALT"). Replace qualitative language with numeric thresholds.
  2. Synthesis: Write a Markdown report [Plugin_Name]_Red_Team_Audit.md containing:

- L5 maturity score - Critical / High / Medium / Low findings table - Priority Remediation checklist - Suggested evals for each CRITICAL finding

Operating Principles

  • Do not guess or hallucinate parameters; explicitly query the filesystem or run tools.
  • Prefer deterministic validation sequences over static reasoning.
  • Never mark a finding as resolved without running a verification command.

Output: Source Transparency Declaration

Every audit report MUST conclude with:

## Sources Checked
- maturity-model.md: [✅ Read / ❌ Not Found]
- security-checks.md: [✅ Read / ❌ Not Found]
- pattern-decision-matrix.md: [✅ Read / ❌ Not Found]
- [plugin directory files listed]

## Sources Unavailable
- [any files that were referenced but not found]

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

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

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

Codex

38.1%
按下载量换算39

Claude

29.69%
按下载量换算30

Cursor

17.96%
按下载量换算18

Gemini CLI

9.12%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/richfrem/agent-plugins-skills --skill l5-red-team-auditor 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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