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skill-audit-modeio技能审核模式

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

10,432

周安装

422

GitHub Stars

公开资料未说明

下载量

3,275
OpenClaw

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

MIT-0

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:skill-audit-modeio(技能审核模式)
来源仓库:https://github.com/modeioai/skill-audit-modeio
安装命令:
openclaw skills install skill-audit-modeio
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install skill-audit-modeio

简介

用于辅助安全审计和权限检查,适合让 Agent 梳理敏感配置和依赖风险。

  • 适用于第三方 AI 技能存储库的确定性静态安全审核。
  • 使用时不能将工具输出直接作为最终结论,需人工复核关键操作。
  • 涉及密钥或生产系统时,应先确认最小权限和操作边界。
  • skill-audit-modeio 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
skill-audit
description
>-
version
0.1.0
metadata
clawdbot
homepage
https://github.com/mode-io/mode-io-skills/tree/main/skill-audit
requires
bins

Run pre-install repository safety audits

Use this skill to evaluate a skill, plugin, or repository before you install it, trust it, or recommend it.

This skill is for static evidence-backed auditing only. It does not execute code, install dependencies, or run hooks in the target repository.

Maintainer-only validation and benchmark assets are excluded from ClawHub uploads.

Scope

  • Included:

- deterministic repository audit through evaluate / scan - prompt payload generation through prompt - evidence-linkage checks through validate - context-aware merge flow through adjudicate

  • Not included:

- code execution inside the target repository - dependency installation or hook execution in the target repository - benchmark helper workflows as the normal published runtime path

Working directory

Run these commands from inside the skill-audit folder.

Requirements

  • Hard requirement: python3
  • Optional enhancement: git for commit metadata and GitHub-origin discovery
  • Optional enhancement: GITHUB_TOKEN for higher GitHub API rate limits

Core commands

Installed entrypoint:

skill-audit evaluate --target-repo /path/to/repo --json > /tmp/skill_scan.json
skill-audit prompt --target-repo /path/to/repo --scan-file /tmp/skill_scan.json --include-full-findings
skill-audit validate --scan-file /tmp/skill_scan.json --assessment-file /tmp/assessment.md --json
skill-audit adjudicate --scan-file /tmp/skill_scan.json --assessment-file /tmp/adjudication.json --json

Repo-local wrapper:

python3 scripts/skill_safety_assessment.py evaluate --target-repo /path/to/repo --json > /tmp/skill_scan.json
python3 scripts/skill_safety_assessment.py prompt --target-repo /path/to/repo --scan-file /tmp/skill_scan.json --include-full-findings
python3 scripts/skill_safety_assessment.py validate --scan-file /tmp/skill_scan.json --assessment-file /tmp/assessment.md --json
python3 scripts/skill_safety_assessment.py adjudicate --scan-file /tmp/skill_scan.json --assessment-file /tmp/adjudication.json --json

Compatibility alias:

python3 scripts/skill_safety_assessment.py scan --target-repo /path/to/repo --json > /tmp/skill_scan.json

Runtime notes

  • evaluate always attempts the GitHub OSINT precheck first when the target repository has a GitHub origin
  • evaluate intentionally skips target-repo tests/ and fixture paths so the result stays focused on installable runtime surfaces
  • prompt should follow a deterministic scan; validate checks model-written output against scan evidence; adjudicate handles context-sensitive merge decisions
  • scripts/run_repo_set.py is a maintainer benchmark helper and is not part of the normal ClawHub runtime flow
  • Use --json whenever you want the full deterministic report with integrity, scoring, highlights, and findings

References

  • references/architecture.md — package layout and scan pipeline.
  • references/prompt-contract.md — strict prompt contract for model-assisted review.
  • references/output-contract.md — JSON/report contract and compatibility expectations.

When not to use

  • Live execution-time safety checks for commands or operations
  • Content transformation tasks that need to mask, rewrite, or restore sensitive data
  • Local routing or middleware scenarios where requests must flow through a gateway

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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

OpenClaw

98.19%
按下载量换算3,216

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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