skill-vetter
Skill1 starsChanged 13 days agoMITView on GitHub
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.
- Reads credentials
27 other projects use a version of this, 17 of them edited.
Adopted by
Most recently taken up by
- CloudChef/atlasclaw-providersedited, first seen Nov 8, 2026
- Soum-Code/master-skill-hubtheir own version, first seen Nov 8, 2026
- csfuwwc/md-skillstheir own version, first seen Nov 1, 2026
- cadecode/agent-skillstheir own version, first seen Oct 20, 2026
- ai-workspace-lab/xworkspace-core-skillsedited, first seen Oct 17, 2026
- wdhorizon/skillsedited, first seen Oct 13, 2026
Used with
Projects with it also use aminer-data-search, auto-target-tracker and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
dav-niu474Skillaminer-data-search
使用 AMiner 开放平台 API 进行学术数据查询与分析。当用户需要查询学者信息、论文详情、机构数据、期刊内容或专利信息时使用此 skill。 触发场景:提到 AMiner、学术数据查询、查论文/学者/机构/期刊/专利、学术问答搜索、引用分析、科研机构分析、学者画像、论文引用链、期刊投稿分析等。 支持 6 大组合工作流(学者全景分析、论文深度挖掘、机构研究力分析、期刊论文监控、学术智能问答、专利链分析)以及 28 个独立 API 的直接调用。 即使用户只说"帮我查一下 XXX 学者"或"找找关于 XXX 的论文",也应主动使用此 skill。
Also in 4 projects that use this
dav-niu474Skillauto-target-tracker
自动目标进度追踪器。在对话中检测到目标相关图片(笔记、进度、截图、记录)时,自动调用 VLM 识别关键信息并记录到目标日记。适用于学习管理、健身追踪、工作进度、习惯养成、创作记录等所有目标管理场景。
Also in 4 projects that use this
Liang-MHSkillstock_analysis
获取 A 股、基金和港股的实时行情和技术分析数据
Also in 4 projects that use this
- +9 more from dav-niu474
Other versions27 projects use a version of this.
Word for word · 0
None found.
Edited · 17
- netease-youdao/LobsterAI★ 6.2k98% same
- freestylefly/wesight★ 96998% same
- CloudChef/atlasclaw-providers★ 1798% same
- choupiyang/ZAI_SKILLS★ 1399% same
- dglijin-oss/chinese-metaphysics-skills★ 1398% same
- ai-workspace-lab/xworkspace-core-skills★ 895% same
- real-link-tech/reallink-skills★ 498% same
- stvlynn/qclaw-skills★ 496% same
- dav-niu474/MyClaude-Code★ 199% same
- SuperInstance/flux-fleet-scanner★ 199% same
7 more not listed
Wrote their own version · 10
- tuanductran/hr-skills★ 58same name
- b1mango/Agent-Skills★ 4same name
- csfuwwc/md-skills★ 4same name
- seasky7c/legal-skills★ 4same name
- skytiger6724/qwen-skills★ 2same name
- thoitiettxl-cyber/Claw-II★ 2same name
- cadecode/agent-skills★ 1same name
- LaoK2017/Agent-Skills★ 0same name
- micajxne/skill-vetter★ 0same name
- Soum-Code/master-skill-hub★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository199 other files it gives its agents.
- activecampaignSkill
- adcp-advertisingSkill
- admapixSkill
- aegis-auditSkill
- afrexai-compliance-auditSkill
- afrexai-seo-content-engineSkill
- agent-browserSkill
- agentic-codingSkill
- agent-overflowSkill
- agent-skills-toolsSkill
- ai-ppt-generatorSkill
- airdrop-hunterSkill
- ai-web-automationSkill
- alicloud-ai-video-wan-r2vSkill
- alpha-finderSkill
- amap-trafficSkill
- amazon-product-apiSkill
- apertureSkill
- api-developmentSkill
- api-gatewaySkill
- asterSkill
- auto-replySkill
- auto-updaterSkill
- aviation-weatherSkill
- awwwards-designSkill
- base-8004Skill
- bioskillsSkill
- brainrepoSkill
- browserless-agentSkill
- browser-secureSkill
- btc15-autonomous-marketSkill
- buy-anythingSkill
- byteroverSkill
- cal-com-automationSkill
- capability-evolverSkill
- catalogSkill
- chargebeeSkill
- clawcostSkill
- clawdbot-documentation-expertSkill
- clawdbot-for-vcsSkill
- clawddocsSkill
- claw-syncSkill
- claw-trader-liteSkill
- clean-codeSkill
- cloudphoneSkill
- cls-certifySkill
- codebergSkill
- code-mentorSkill
- commit-analyzerSkill
- competitor-analysis-reportSkill
- content-ideas-generatorSkill
- content-ideasSkill
- contract-generatorSkill
- conventional-commitsSkill
- copywritingSkill
- crypto-payments-ecommerceSkill
- custom-smtp-senderSkill
- dashboard-manager2Skill
- data-analystSkill
- docker-sandboxSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
9 rules. 7 are common, 0 are distinctive, and 2 are very specific to this project.
7
Common
Most of the 27 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Common: line 14
Before installing any skill from ClawdHub
- Very specific: line 15
Before running skills from GitHub repos
- Very specific: line 16
When evaluating skills shared by other agents
- Common: line 34
Read ALL files in the skill.
- Common: line 78
After vetting, produce this report:
- Common: line 132
No skill is worth compromising security
- Common: line 133
When in doubt, don't install
- Common: line 134
Ask your human for high-risk decisions
- Common: line 135
Document what you vet for future reference
“Common” is measured: kept by at least 6 in 10 of the 27 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
迁移说明:本技能原为 OpenClaw / ClawHub 生态技能,现已转为 WorkBuddy 技能规范。正文如出现
openclaw/clawhub/claw命令或~/.openclaw路径,请忽略该命令形式,改用 WorkBuddy 等价操作:技能目录 =~/.workbuddy/skills/<name>/;装包用 pip / npm;联网用 WebSearch / WebFetch;读写文件用 Read / Write / Edit;执行命令用 Bash(Windows 走 PowerShell 工具)。
Skill Vetter 🔒
Security-first vetting protocol for AI agent skills. Never install a skill without vetting it first.
When to Use
- Before installing any skill from ClawdHub
- Before running skills from GitHub repos
- When evaluating skills shared by other agents
- Anytime you're asked to install unknown code
Vetting Protocol
Step 1: Source Check
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?Step 2: Code Review (MANDATORY)
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
─────────────────────────────────────────Step 3: Permission Scope
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?Step 4: Risk Classification
| 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 |
Output Format
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]
═══════════════════════════════════════Quick Vet Commands
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"Trust Hierarchy
- Official OpenClaw skills → Lower scrutiny (still review)
- High-star repos (1000+) → Moderate scrutiny
- Known authors → Moderate scrutiny
- New/unknown sources → Maximum scrutiny
- Skills requesting credentials → Human approval always
Remember
- No skill is worth compromising security
- When in doubt, don't install
- Ask your human for high-risk decisions
- Document what you vet for future reference
Paranoia is a feature. 🔒🦀
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

