skill-vetter

Security gate that scans skills for malicious code, vulnerabilities, and suspicious patterns before installation.

app-incubator-xyz/skill-vetterUpdated Jun 5, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

3

total installs

3

this week

17

GitHub stars

0

upvotes

Install Skill

Run in your terminal

$npx skills add https://github.com/app-incubator-xyz/skill-vetter --skill skill-vetter

3

installs

3

this week

17

stars

What it does

  • Runs four integrated scanners: aguara (prompt injection detection), skill-analyzer (malicious patterns and CVE database), secrets-scan (hardcoded credentials), and structure-check (malformed files and dangerous configurations)

  • Accepts ClawHub skill names, GitHub URLs, or local paths as input and returns a three-tier verdict: BLOCKED (critical/high findings), REVIEW (medium f

Category

Productivity

Last updated

Jun 5, 2026

Installation Guide

How to use skill-vetter on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add skill-vetter
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/app-incubator-xyz/skill-vetter --skill skill-vetter

Fetches skill-vetter from app-incubator-xyz/skill-vetter and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/skill-vetter

Restart Cursor to activate skill-vetter. Access via /skill-vetter in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

Skill Vetter

Security gate that runs multiple scanners against a skill before installation.

When to Use

Use before installing ANY skill to Claude Code, OpenClaw, or your other favorite AI agent — whether from ClawHub, GitHub, or any external source.

Ask the user: "Should I run skill-vetter on this before installing?" whenever they mention installing a new skill.

How to Run

Check dependencies first

bash {baseDir}/scripts/check-deps.sh

Fix any missing dependencies before proceeding.

Run the full scan

bash {baseDir}/scripts/vett.sh "<skill-name-or-path>"

The argument can be:

  • A ClawHub skill name: youtube-summarize
  • A GitHub URL: https://github.com/user/repo
  • A local path: /tmp/my-skill/

Interpret Results

Verdict Meaning Action
BLOCKED CRITICAL or HIGH findings Do NOT install. Show findings.
REVIEW Medium severity findings Show findings, ask user to decide.
SAFE All scanners passed Proceed with installation.

After Verdict

Always show the user:

  1. Which scanners ran
  2. Which passed/failed
  3. Specific findings for anything flagged
  4. Your recommendation

Never install the skill automatically. Always confirm with the user after showing results.

Scanners Used

Scanner What It Checks
aguara Prompt injection, obfuscation, suspicious LLM calls
skill-analyzer Known malicious patterns, CVE database
secrets-scan Hardcoded API keys, tokens, credentials
structure-check Missing SKILL.md, malformed YAML, dangerous files

Example Output

════════════════════════════════════════════════════════════
SKILL VETTER — Security Scan: malicious-skill
Path: /tmp/skill-vetter-abc123/malicious-skill
════════════════════════════════════════════════════════════

[1/4] aguara............. ✅ PASS
[2/4] skill-analyzer..... ❌ FAIL (HIGH: prompt injection pattern)
[3/4] secrets-scan....... ⚠️  WARN (Medium: base64 encoded string)
[4/4] structure-check.... ✅ PASS

════════════════════════════════════════════════════════════
VERDICT: BLOCKED
Reasons: 1 HIGH, 1 MEDIUM
════════════════════════════════════════════════════════════

Do NOT install this skill. It contains:
- HIGH: Prompt injection in SKILL.md (line 47)
- MEDIUM: Base64 encoded string in scripts/run.sh (line 12)

Dependencies

  • aguara — Go-based prompt scanner
  • skill-analyzer — Cisco AI skill scanner (Python)
  • python3 — For additional checks
  • curl, jq — For API calls and JSON parsing

Run check-deps.sh to verify all tools are installed.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

Get started →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Steps

  1. 1Install product management skill
  2. 2Start with user story generation for known feature
  3. 3Progress to competitive analysis: research 2-3 competitors
  4. 4Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5Draft stakeholder communications and refine based on feedback
  6. 6Build template library for recurring PM tasks
  7. 7Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use when

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid when

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Related Skills

Reviews

4.648 reviews
  • R
    Ren BhatiaDec 28, 2024

    Keeps context tight: skill-vetter is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • S
    Sakshi PatilDec 12, 2024

    skill-vetter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • H
    Hiroshi GhoshDec 4, 2024

    skill-vetter has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Y
    Yuki HarrisNov 23, 2024

    Solid pick for teams standardizing on skills: skill-vetter is focused, and the summary matches what you get after install.

  • L
    Lucas DialloNov 19, 2024

    We added skill-vetter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Y
    Yuki SinghOct 14, 2024

    We added skill-vetter from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • D
    Diego TandonOct 10, 2024

    Solid pick for teams standardizing on skills: skill-vetter is focused, and the summary matches what you get after install.

  • N
    Noor GuptaSep 25, 2024

    skill-vetter is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • N
    Noor MenonSep 21, 2024

    I recommend skill-vetter for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Y
    Yuki DialloSep 21, 2024

    skill-vetter fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

showing 1-10 of 48

1 / 5

Discussion

Comments — not star reviews
  • No comments yet — start the thread.