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SkillSpector: check a skill is safe before you install it

NVIDIA's free scanner that reads a skill, plugin or MCP server before you install it and flags hidden instructions, data leaks, risky code and known-vulnerable packages, with a 0-100 risk score.

In short: NVIDIA's free scanner that reads a skill, plugin or MCP server before you install it and flags hidden instructions, data leaks, risky code and known-vulnerable packages, with a 0-100 risk score. It is a free skill for people who use Claude Code or Codex and want help with coding agent skills.

Checked on · Added

Works with

Agent / toolAccess / costLink
Claude CodePaid Claude plan or APIclaude.com/claude-code
CodexChatGPT plan or APIopenai.com/codex
GitHub repoOpen source · ★ 21.9kNVIDIA/SkillSpector

Try it in 60 seconds

uv tool install git+https://github.com/NVIDIA/skillspector.git
uv tool install 'skillspector[mcp] @ git+https://github.com/NVIDIA/skillspector.git'

Install command copied from the project README. Check the README for the latest version.

What it does

NVIDIA's free scanner that reads a skill, plugin or MCP server before you install it and flags hidden instructions, data leaks, risky code and known-vulnerable packages, with a 0-100 risk score.

Give it a GitHub repo, a URL, a zip or a folder and it reads every file of the skill: it looks for 71 known risky patterns (hidden instructions, sending your data out, privilege grabs, poisoned MCP tools, outdated…

Short excerpt from the README of NVIDIA/SkillSpector. Read the full README on GitHub.

Inside the repo

OverviewDocumentationFeaturesQuick StartInstallationDocker (no Python required)Basic UsageOutput FormatsBatch ScanningComparing MCP Registry snapshotsSuppressing False Positives (baseline)Explicit scan scope

A prompt to try

Before I install [repo URL], scan it with SkillSpector (offline mode first) and explain every high or critical finding in plain words.

Written by us so you can reuse it. Replace each [bracket] with your details.

Step by step

  1. Open the GitHub repo and read the Quick Start.
  2. Install with uv: uv tool install git+https://github.com/NVIDIA/skillspector.git (Python 3.12+), or build the Docker image.
  3. Scan before installing: skillspector scan <repo URL or folder> --no-llm for the fast offline check.
  4. Read the report and risk score; drop --no-llm and set a provider key if you want the deeper AI review.

Watch out for

A clean score is not a guarantee, and a scanner of this kind will also flag normal installer lines; read each finding. The AI pass sends the skill's files to the model provider you pick. Its own repo trips our scanner too because it contains the risky patterns it looks for (we read them: they are detection rules and test samples).

Docs, demos & materials

Common questions

What does SkillSpector do?

NVIDIA's free scanner that reads a skill, plugin or MCP server before you install it and flags hidden instructions, data leaks, risky code and known-vulnerable packages, with a 0-100 risk score.

Which AI agents can use SkillSpector?

It works with Claude Code and Codex. The code is on GitHub at NVIDIA/SkillSpector.

Is SkillSpector free?

Free & open source (Apache-2.0). The basic scan runs offline; the optional AI review pass uses your own model API key (Anthropic, OpenAI and others), billed by that provider.

How do I install SkillSpector?

Run the install command from the README: “uv tool install git+https://github.com/NVIDIA/skillspector.git”. Check the README on GitHub for the latest version, then follow the steps on this page.

Is SkillSpector safe to install?

We read 183 instruction and code files and flagged 1 pattern worth a look before installing (often normal for installers): reads SSH keys (in …/skillspector/nodes/analyzers/static_patterns_privilege_escalation.py). Read the flagged lines before you install it.

Sources & credit

All credit to the original authors. We rewrite in our own words and link back. Something wrong? Report it.

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