gabrielmoreira 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 the platform skill market
- Before installing external skills from skillhub
- Before running skills from GitHub repositories
- When evaluating skills shared by other agents
- Anytime you are asked to install unknown code
Vetting Protocol
Step 1: Source Check
Questions to answer:
- Where did this skill come from? (platform market / skillhub / GitHub / other)
- Is the author known or reputable?
- How many downloads or stars does it have?
- When was it last updated?
- Are there reviews from other agents?
Step 2: Preview Install to Temp Dir, Then Read All Files
Do not install to the real skills directory yet. Install to a temp directory first for inspection.
Choose the preview method based on the source:
skillhub source (supports --dir for temp directory):
skillhub --dir /tmp/skillhub-preview/ install <slug>
After install, use shell_exec to list and read all files:
# List all files
shell_exec(command="find /tmp/skillhub-preview/<skill-name> -type f | sort")
# Read each file
shell_exec(command="cat /tmp/skillhub-preview/<skill-name>/SKILL.md")
shell_exec(command="cat /tmp/skillhub-preview/<skill-name>/scripts/<file>.py")
# ... read all scripts, configs, and reference files
If approved, run the normal install without --dir. Either way, clean up the temp dir:
shell_exec(command="rm -rf /tmp/skillhub-preview/")
Platform market / my skill library source (also supports --dir for temp directory):
shell_exec(command="skillhub install-platform-me <code> --dir /tmp/skillhub-preview/")
# or
shell_exec(command="skillhub install-platform-market <code> --dir /tmp/skillhub-preview/")
After install, use shell_exec to list and read all files:
# List all files
shell_exec(command="find /tmp/skillhub-preview/<skill-name> -type f | sort")
# Read each file
shell_exec(command="cat /tmp/skillhub-preview/<skill-name>/SKILL.md")
shell_exec(command="cat /tmp/skillhub-preview/<skill-name>/scripts/<file>.py")
# ... read all files
If approved, run the normal install without --dir. Either way, clean up the temp dir:
shell_exec(command="rm -rf /tmp/skillhub-preview/")
Step 3: Code Review (MANDATORY)
Read ALL files in the skill. Reject immediately if any of the following are present:
REJECT IMMEDIATELY IF YOU SEE:
─────────────────────────────────────────
- curl/wget to unknown URLs
- Sends data to external servers
- Requests credentials, tokens, or 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 the workspace
- Installs packages without listing them explicitly
- Network calls to raw IP addresses instead of domains
- Obfuscated code (compressed, encoded, or minified)
- Requests elevated or sudo permissions
- Accesses browser cookies or sessions
- Touches credential files
─────────────────────────────────────────
Step 4: 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 5: Risk Classification
| Risk Level | Examples | Action |
|---|---|---|
| LOW | Notes, weather, formatting | Basic review, install OK |
| MEDIUM | File ops, browser, external APIs | Full code review required |
| HIGH | Credentials, trading, system commands | Human approval required |
| EXTREME | Security configs, root access | Do NOT install |
Output Format
After vetting, produce this report:
SKILL VETTING REPORT
=======================================
Skill: [name]
Source: [platform market / skillhub / 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]
=======================================
Trust Hierarchy
- Official platform skills (published via platform market) — lower scrutiny (still review)
- High-star repos (1000+) — moderate scrutiny
- Known authors — moderate scrutiny
- New or unknown sources — maximum scrutiny
- Skills requesting credentials — human approval always required
Principles
- No skill is worth compromising security
- When in doubt, do not install
- Escalate high-risk decisions to the user
- Document what you vet for future reference