crucible-security

crucible-security / crucible

Public

pytest for AI agents - Autonomous red-teaming, behavioral monitoring & security testing for LLM agents

crucible-security.github.iocrucible-website ai-agents ai-security llm owasp prompt-injection
10
9
100% credibility
Found Apr 24, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Crucible is an automated security testing tool for AI chat agents that runs dozens of attack simulations to assign vulnerability grades and generate reports.

How It Works

1
🔍 Discover Crucible

While building your AI helper, you learn about a friendly tool that checks for sneaky tricks people might use to fool it.

2
📦 Add it to your computer

You grab the tool with a simple download, and it's ready to use right away.

3
🎯 Point it at your AI

You share the chatting spot of your AI helper, like telling a friend where to meet.

4
🚀 Run the safety test

With one go, it tries dozens of clever bad-guy moves super fast to spot dangers.

5
📊 Review the colorful report

A pretty chart pops up with your grade, weak spots, and easy tips to get better.

🏆 Your AI is now tougher

Feeling confident, you fix the issues and release a safe, smart helper everyone trusts.

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AI-Generated Review

What is crucible?

Crucible is pytest for AI agents—a Python CLI tool that runs autonomous red-teaming against LLM endpoints, firing 90 OWASP-aligned attacks like prompt injection, goal hijacking, and jailbreaks in under 60 seconds. Developers point it at any HTTP agent (OpenAI, Anthropic, Groq, or custom like LangChain/CrewAI) via `crucible scan --target https://my-agent.com`, get a scored report with A-F grades, and pipe JSON outputs to CI/CD. It solves the pain of manual security testing by automating behavioral monitoring and hardening before production.

Why is it gaining traction?

Unlike manual pentests or vague LLM eval suites, Crucible delivers pytest github actions-style workflows: fail builds on low grades, annotate failures like pytest github annotations, and generate crucible reports for pytest github action summary. The hook is CI-native integration—drop it into GitHub workflows for crucible vs github security gates—plus rich terminal outputs and zero data exfiltration (runs fully local). Early adopters love the speed and OWASP Agentic Top 10 mapping over slower alternatives.

Who should use this?

AI engineers building agentic apps with tools like CrewAI or AutoGen, needing quick red-teaming in staging. DevOps teams adding pytest github workflow security to LLM pipelines, especially those hitting prompt injection in production. Security researchers testing custom endpoints or MCP protocols for crucible c2 github vulns.

Verdict

Promising early tool with 97% test coverage and solid docs, but at 10 stars and 1.0% credibility score, it's pre-1.0 beta—trial it for prototypes, but pair with manual reviews until maturity grows. Grab it for GitHub Actions if you're shipping agents now.

(198 words)

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