Claude-AgentHunter
Pentest AI agents: 23 hunt-agent skills, a 4-arm detection engine, a 14-gate validation lab, and the two gates that stop false findings in both directions.
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GITHUB · launched Oct 19, 2026 · 19 upvotes (top 64%)
- Security
- Agent / copilot
- B2B
- AI-native
- Hobby / open-source project
Similar launches
See all 2274 similar launches →Could you build this?
Partial The agent orchestration, skill prompts, and wrappers around existing scanners can be vibe-coded, but credible findings with low false positives depend on deep pentesting expertise and validation against real vulnerable targets.
What it would actually take: The stack would be an LLM agent framework (such as Claude Code skills or MCP tools) that drives existing scanners and tooling like nmap, Burp, and nuclei, with a validation harness that reproduces findings in lab environments. The hard part is the detection logic and validation gates that suppress false positives in both directions, which needs experienced offensive security practitioners and a test corpus of known-vulnerable applications.
Competitors
Other products that read as similar to this one : 2274 launches clear the similarity bar, closest 8 shown.
Attention rank: #1261 of 2275 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 355 days after the earliest competitor.
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