26.2.06OpenClaw检索、审查执行与备份Skills/skill-vetter/SKILL.md
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
npx skillsauth add adoresever/agi_ananans skill-vetterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Security-first vetting protocol for AI agent skills. Never install a skill without vetting it first.
Questions to answer:
- [ ] Where did this skill come from?
- [ ] Is the author known/reputable?
- [ ] How many downloads/stars does it have?
- [ ] When was it last updated?
- [ ] Are there reviews from other agents?
Read ALL files in the skill. Check for these RED FLAGS:
🚨 REJECT IMMEDIATELY IF YOU SEE:
─────────────────────────────────────────
• curl/wget to unknown URLs
• Sends data to external servers
• Requests credentials/tokens/API keys
• Reads ~/.ssh, ~/.aws, ~/.config without clear reason
• Accesses MEMORY.md, USER.md, SOUL.md, IDENTITY.md
• Uses base64 decode on anything
• Uses eval() or exec() with external input
• Modifies system files outside workspace
• Installs packages without listing them
• Network calls to IPs instead of domains
• Obfuscated code (compressed, encoded, minified)
• Requests elevated/sudo permissions
• Accesses browser cookies/sessions
• Touches credential files
─────────────────────────────────────────
Evaluate:
- [ ] What files does it need to read?
- [ ] What files does it need to write?
- [ ] What commands does it run?
- [ ] Does it need network access? To where?
- [ ] Is the scope minimal for its stated purpose?
| Risk Level | Examples | Action | |------------|----------|--------| | 🟢 LOW | Notes, weather, formatting | Basic review, install OK | | 🟡 MEDIUM | File ops, browser, APIs | Full code review required | | 🔴 HIGH | Credentials, trading, system | Human approval required | | ⛔ EXTREME | Security configs, root access | Do NOT install |
After vetting, produce this report:
SKILL VETTING REPORT
═══════════════════════════════════════
Skill: [name]
Source: [ClawdHub / GitHub / other]
Author: [username]
Version: [version]
───────────────────────────────────────
METRICS:
• Downloads/Stars: [count]
• Last Updated: [date]
• Files Reviewed: [count]
───────────────────────────────────────
RED FLAGS: [None / List them]
PERMISSIONS NEEDED:
• Files: [list or "None"]
• Network: [list or "None"]
• Commands: [list or "None"]
───────────────────────────────────────
RISK LEVEL: [🟢 LOW / 🟡 MEDIUM / 🔴 HIGH / ⛔ EXTREME]
VERDICT: [✅ SAFE TO INSTALL / ⚠️ INSTALL WITH CAUTION / ❌ DO NOT INSTALL]
NOTES: [Any observations]
═══════════════════════════════════════
For GitHub-hosted skills:
# Check repo stats
curl -s "https://api.github.com/repos/OWNER/REPO" | jq '{stars: .stargazers_count, forks: .forks_count, updated: .updated_at}'
# List skill files
curl -s "https://api.github.com/repos/OWNER/REPO/contents/skills/SKILL_NAME" | jq '.[].name'
# Fetch and review SKILL.md
curl -s "https://raw.githubusercontent.com/OWNER/REPO/main/skills/SKILL_NAME/SKILL.md"
Paranoia is a feature. 🔒🦀
testing
Simulate a strict academic reviewer and produce a manuscript risk report without editing the draft. Use when the user asks to act as a reviewer, find weaknesses before submission, inspect evidence gaps, check overclaims, evaluate manuscript readiness, combine advisor notes or meeting minutes into revision priorities, or generate a 审稿人模拟检查 report.
development
Build or reorganize an academic paper project workspace with clear folders and local instructions for literature, drafts, feedback, extracted text, and output reports. Use when the user wants to set up a论文工作台, organize mixed manuscript materials, create project rules, or prepare a stable workflow before citation checking, evidence matching, reviewer simulation, or manuscript revision.
testing
Match manuscript claims against user-provided literature and produce a traceable claim-evidence table. Use when the user asks to add references, check whether PDFs support manuscript statements, find supporting or opposing evidence from a literature folder, distinguish strong support from background support, or create a 论点-证据匹配 report for an academic draft.
development
Twitter/X data via the 6551 API. Supports user profiles, tweet search, user tweets, follower events, deleted tweets, and KOL followers.