LibreAI / AI Agents / agent-scan
// agents · snyk/agent-scan

agent-scan

Snyk's security scanner for AI agents, MCP servers and agent skills.

★ 3.1k stars⑂ 287 forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

agent-scan is an open-source ai agents project by snyk (snyk/agent-scan on GitHub). It has 3,126 GitHub stars and 287 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 6 October 2026.

Repository
snyk/agent-scan
GitHub stars
3,126
Forks
287
License
Apache-2.0
Last updated on GitHub
6 October 2026
Category
AI Agents
Listing
Full install guide
// how it works

How it works

  1. Clarify your goal

    Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.

  2. Get the project

    Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.

  3. Install and configure

    Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.

  4. Run your first task

    Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.

// features

Why people love it

Whole-machine or targeted scans

Scan everything, one MCP configuration, one skill, or all Claude skills.

Broad agent coverage

A supported-agents matrix with detection across system, user, project/workspace and extension scopes.

Interactive consent

The scanner asks before connecting to MCP servers during analysis.

Analysis and validation

Findings go beyond inventory, with validation of discovered servers and skills.

CI-friendly

A CI mode and inspect-only mode fit pipelines and audits.

Verifiable binaries

Published checksums and a step-by-step verification guide for standalone downloads.

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// run it

Run it yourself

  1. Clone the repository

    Get the source so you can inspect, configure and run it locally.

    git clone https://github.com/snyk/agent-scan.git
    cd agent-scan
  2. Run with uvx

    Scan your whole machine, or point it at a specific config or skill as the README shows.

    uvx snyk-agent-scan@latest  # scan the whole machine; see README for targeted scans
  3. Or use a standalone binary

    Download a release binary, verify its checksum per the guide, and run the same scans.

    # download from GitHub Releases, verify checksum, then run agent-scan — see README
// use cases

What you can build

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// faq

Questions, answered

Who maintains agent-scan?

It is maintained by snyk on GitHub (snyk/agent-scan), where the source, issues and releases live.

Is it free to use?

Yes — it is free and open source under Apache-2.0, which permits use, modification and commercial redistribution, with licence/notice retention.

Does it need a paid API key?

No LLM API key is required for scanning; analysis runs against your local configurations as the README describes.

How does it compare to generic antivirus or config linters?

Compared with generic antivirus or config linters, agent-scan's distinguishing focus is: snyk's security scanner for AI agents, MCP servers and agent skills. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.

How do I get started?

Clone https://github.com/snyk/agent-scan (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if agent-scan is not the right fit.

Get agent-scan

Free and open — grab the source, star the repo, and start creating.