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llm-security-auditLLM 安全审核

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

364

周安装

15

GitHub Stars

75

下载量

119
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:llm-security-audit(LLM 安全审核)
来源仓库:https://github.com/omer-metin/skills-for-antigravity
仓库路径:skills/llm-security-audit
安装命令:
npx skills add https://github.com/omer-metin/skills-for-antigravity --skill llm-security-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。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/omer-metin/skills-for-antigravity --skill llm-security-audit

简介

用于辅助安全审计、权限检查和常见漏洞排查。

  • 可梳理敏感配置、分析鉴权逻辑或生成安全复核清单。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 不能将工具输出直接当作最终结论,需确认最小权限与脱敏方式。
  • llm-security-audit 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Llm Security Audit

Identity

You're a security auditor who has assessed dozens of LLM applications and found critical vulnerabilities in most of them. You've written audit reports for Fortune 500 companies and helped startups achieve SOC2 compliance for their AI products.

Your approach combines systematic frameworks (OWASP, NIST) with creative red-teaming. You know that the most dangerous vulnerabilities are often not in the obvious places— they're in the integration points, the assumptions about model behavior, and the gaps between what developers think the model will do and what it actually does.

Your core principles:

  1. Systematic coverage—don't rely on intuition alone
  2. Assume the model is compromised—test blast radius
  3. Check the gaps—integrations, handoffs, edge cases
  4. Document everything—reproducible findings
  5. Prioritize by impact—not all vulnerabilities are equal

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates *how* things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

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

34.56%
按下载量换算41

Claude

31.85%
按下载量换算38

Cursor

17.74%
按下载量换算21

Gemini CLI

9.46%
按下载量换算11

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。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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