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skill-install-guardian技能安装守护者

Agent Skill

skill-install-guardian 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

18,818

周安装

792

GitHub Stars

公开资料未说明

下载量

6,589
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-install-guardian(技能安装守护者)
来源仓库:https://github.com/zendenho7/skill-install-guardian
安装命令:
openclaw skills install skill-install-guardian
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-install-guardian

简介

skill-install-guardian 是从 ClawHub 安装外部技能的安全尽职调查层。

  • 适合在 OpenClaw 中执行深度内容扫描以防止恶意模式和集成风险时使用。
  • 可对技能代码进行静态分析和动态沙箱检测双重验证。
  • 安装前需配置扫描规则集并定期更新特征库。
  • 注意高安全等级场景建议启用人工复核环节。

SKILL.md

name
skill-install-guardian
description
Security and due diligence layer for installing external skills from ClawHub. Performs DEEP content scanning for malicious patterns, security checks, integration analysis, and requires owner confirmation before installation.
version
1.3.0
metadata

Skill Install Guardian

"Trust but verify. Always."

This skill protects your workspace by performing security and due diligence checks before installing any external skill.


Purpose

Before installing any external skill from ClawHub, this skill:

  1. Deep Content Scan - Fetches and analyzes actual file contents for malicious patterns
  2. Verifies the skill is safe (security checks via ClawHub API)
  3. Analyzes file metadata from ClawHub (filenames, structure)
  4. Checks if it fits your architecture (integration check)
  5. Reports findings to owner
  6. Requires confirmation before install

Deep Content Scanning

What It Does

This skill performs actual content analysis on skill files:

  • Fetches SKILL.md and script files (.py, .js, .sh)
  • Scans for dangerous patterns in file contents
  • Detects: command injection, API keys, hardcoded secrets, obfuscated code

Security Patterns Detected

PatternSeverityExample
eval()CRITICALCode execution
exec()CRITICALCode execution
subprocessHIGHShell commands
API keys/tokensCRITICALsk-xxx, ghp_xxx
base64 decodeMEDIUMObfuscation
__import__MEDIUMDynamic imports

⚠️ Security Notes

  • Does NOT execute any fetched code - only analyzes text
  • Can produce false positives - always review findings
  • Owner must confirm - automated check, not definitive
  • Read-only - only fetches and scans, never executes

Workflow

Phase 1: Security Check v1 - ClawHub Report

# Get skill security report
npx clawhub inspect <skill-slug> --security

What to check:

  • Known vulnerabilities
  • Malicious code patterns
  • Suspicious API calls
  • Data exfiltration risks

Action if flagged: → ABORT immediately


Phase 2: Security Check v2 - Code Analysis

# Fetch skill files
npx clawhub inspect <skill-slug> --files

# Analyze each file for:
# - Prompt injection patterns
# - Suspicious API calls (curl, fetch to unknown domains)
# - Hardcoded secrets/keys
# - Eval() or code execution
# - Base64 encoded strings (potential obfuscation)
# - External network calls without justification

Analysis criteria:

PatternRisk LevelAction
eval(CRITICALABORT
subprocess without paramsHIGHFlag for review
curl to unknown domainHIGHFlag for review
Hardcoded API keyCRITICALABORT
Base64 encoded blobMEDIUMFlag for review
External URL fetchMEDIUMFlag for review
Clean codeLOWPass

Assumption: All external skills are potentially malicious until proven otherwise.


Phase 3: Integration Check - Architecture Fit

Questions to answer:

  1. Purpose: Does this skill solve a real need?
  2. Conflict: Does a similar skill already exist?
  3. Value: Will this be used, or just clutter?
  4. Architecture: Does it fit the workspace structure?

Check existing skills:

npx clawhub search <related-topic>
ls skills/*/SKILL.md | xargs grep -l "<topic>"

Conflict detection:

  • Similar functionality → Flag as potential duplicate
  • No clear use case → Flag as low value

Phase 4: Report to Owner

Generate a report with:

## Skill Install Report: <skill-name>

### Security Status
- [ ] PASSED / [ ] FAILED

### Security Details
- ClawHub report: <status>
- Code analysis: <findings>

### Integration Status
- Purpose: <useful/useless>
- Conflicts: <list>
- Value: <high/medium/low>

### Recommendation
[PROCEED] / [ABORT] / [REVIEW]

### Owner Decision Required
Please confirm before I proceed with installation.

Usage

Run Full Security Check

python3 skills/skill-install-guardian/scripts/check.py <skill-slug>

Quick Check (skip analysis)

python3 skills/skill-install-guardian/scripts/check.py <skill-slug> --quick

Install After Approval

npx clawhub install <skill-slug>

Integration with Workflow

Before Any Install

1. Owner: "Install skill X"
2. Me: Run skill-install-guardian
3. Guardian: Security Check v1
4. Guardian: Security Check v2 (if v1 passes)
5. Guardian: Integration Check
6. Guardian: Report to owner
7. Owner: Confirm or abort
8. If confirmed: Install

Output Format

{
  "skill": "example-skill",
  "version": "1.0.0",
  "security": {
    "v1_clawhub": "PASS",
    "v2_code_analysis": {
      "status": "PASS",
      "issues_found": []
    }
  },
  "integration": {
    "purpose": "useful",
    "conflicts": [],
    "value": "high"
  },
  "recommendation": "PROCEED",
  "owner_decision": "PENDING"
}

Safety Principles

Always Assume

  • External skills may contain malicious code
  • Authors may have good intentions but poor security
  • New versions could introduce threats
  • Hidden payloads may exist in encoded strings

Never

  • Auto-install without owner confirmation
  • Skip security checks for "trusted" authors
  • Assume recent updates are safe
  • Ignore warnings from security tools

Do

  • Verify every skill manually
  • Check recent reviews/issues
  • Search for known vulnerabilities
  • Analyze code even for popular skills

Related Skills

  • [[workspace-analyzer]] - Analyze installed skills
  • [[skill-creator]] - Create skills safely

Changelog

v1.3.0 (2026-02-21)

  • DEEP CONTENT SCANNING - Now actually fetches and scans file contents
  • Scans SKILL.md, .py, .js, .sh files for dangerous patterns
  • Detects: subprocess, API keys, tokens eval(), exec(),, obfuscation
  • Added comprehensive security patterns list
  • Clear security notes about what it does/doesn't do

v1.2.0 (2026-02-21)

  • Fixed documentation to accurately reflect limitations
  • Removed unused curl from required binaries
  • Added limitation notes (no content analysis, reads local skills dir)
  • Clarified this provides warnings, not definitive security

v1.1.0 (2026-02-21)

  • Fixed command injection vulnerability (slug validation)
  • Changed from shell=True to list-based subprocess calls
  • Fixed typo in SAFE_DOMAINS
  • Added slug validation function
  • Stricter handling of invalid slugs

v1.0.0 (2026-02-21)

  • Initial release
  • Two-layer security check
  • Integration analysis
  • Owner confirmation workflow

*Security first. Always verify.*

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

91.47%
按下载量换算6,027

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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