lucioway/way-stack/skillspector

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Security-scan an AI agent skill before installing or shipping it. Use when asked to audit/scan/vet a skill, plugin, or MCP for safety; when installing an untrusted skill from a marketplace/GitHub; or before publishing a skill. Wraps NVIDIA SkillSpector — 68 vulnerability patterns across 17 categories (prompt injection, data exfiltration, privilege escalation, supply chain, tool poisoning, MCP least-privilege, etc.), two-stage static + optional LLM analysis, OSV.dev CVE lookups, SARIF/JSON/Markdown reports.

Install

npx vskill@latest install lucioway/way-stack/skillspector

SKILL.md

SkillSpector — Agent Skill Security Scanner

Answers one question: "Is this skill safe to install?" Research behind the tool found 26.1% of public skills contain vulnerabilities and 5.2% show likely malicious intent. Scan before you trust.

Activation

User says something like:

  • "scan this skill: <path|url|repo>"
  • "is this plugin safe to install?"
  • "audit <skill> for security"
  • "vet this MCP before I add it"
  • "security-check my skill before publishing"

Ensure the tool is installed

skillspector is a standalone CLI (Python 3.12+). If which skillspector is empty, install it once — prefer uv:

bash
uv tool install git+https://github.com/NVIDIA/skillspector.git
# update later: uv tool update skillspector

Do NOT vendor the NVIDIA repo into this plugin — it is large and Apache-2.0 licensed. This skill only orchestrates the installed CLI.

Run a scan

Input can be a directory, single file, git repo URL, remote URL, or zip.

bash
# Fast static-only scan (no API key needed) — default for quick triage
skillspector scan <target> --no-llm
# Full scan with LLM semantic pass (filters false positives, explains findings)
SKILLSPECTOR_PROVIDER=anthropic ANTHROPIC_API_KEY="$ANTHROPIC_API_KEY" \
skillspector scan <target>
# Machine-readable report to a file
skillspector scan <target> --no-llm --format json --output report.json
# formats: terminal (default), json, markdown, sarif

Interpreting output

  • Risk score 0–100 with severity label + recommendation. Higher = more dangerous.
  • Findings are categorised (e.g. SC4 = vulnerable dependency via OSV.dev, prompt

injection, data exfiltration, MCP tool poisoning). Read the category + the matched snippet, don't just trust the number.

  • Static stage = regex/AST/taint/YARA (fast, can false-positive). The LLM stage prunes

false positives and explains intent — run it for anything you're about to actually install.

Suppressing known false positives

Re-scans only need to surface new issues. Accept known findings with a baseline:

bash
skillspector scan <target> --no-llm --baseline .skillspector-baseline.json

Report back

Summarise: risk score, the top high/critical findings (category + file:line + why), and a clear verdict — safe / review-needed / do-not-install. For audits before publishing, list each finding the author should fix.

Note

Use this on anything pulled from a third-party marketplace before it lands in ~/.claude/skills or ~/.claude/plugins. The local install lives at ~/.local/bin/skillspector.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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