pentest-harness
Self-hosted AI agent harness for authorized penetration tests and security labs, using your own model API keys.
Agent by S1N6H
Chalk Labs
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Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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Setup steps are in the repository. Repository
About
Use cases: security, security-scanning
Reviews
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Fact sheet
- Jobs
- securityREADME
- Where you use it
- WebREADME
- Hosting
- You run itREADME
- Models
- openai, anthropic, deepseek, google, mistral, groq, openrouter, azure-openaiREADME
- Open source
- YesREADME
- Billing
- You pay your model provider directly, using your own API key.README
Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.
Signals
- Stars
- 430
- Forks
- 71
- Open issues
- 1
- Last commit
- Sep 11, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/S1N6H/pentest-harness
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- READMEgithub-graphql
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
pentest-harness. Agent Mart. https://agentmart.dev/agents/pentest-harness (last updated 2026-10-24)