AI & Agents
bug-hunter
Last updated 2026-06-22 · benchmark measured 2026-08-09 — deterministic & reproducible
Adversarial AI bug hunter with auto-fix skill for Claude Code, Cursor, Codex CLI, GitHub Copilot CLI, Kiro CLI, Opencode, Pi Coding Agent, and more. Multi-agent pipeline finds security vulnerabilities, logic errors, and runtime bugs — then fixes them autonomously on a safe branch
Is bug-hunter production-ready?
Legit.Show scores bug-hunter 85 out of 100 — the simple average of its 3 measured frames. Legit.Show ran its deterministic 7-Frame production-readiness benchmark on bug-hunter (github assessment), measured from the public surface with no LLM in the scoring path. Its strongest frame is Standards; its weakest is Discoverability. 3 of the seven frames returned a score; Performance, Accessibility, Privacy and Reliability were not measurable on this service and are recorded as null — not as zero. Maintenance is an additional frame from the open-source teardown, scored separately from the seven. Every frame it averages is published with its evidence on the Legit.Show listing.
The 7 Frames
- Performance — not measurable on this service (null — not scored as 0)
- Accessibility — not measurable on this service (null — not scored as 0)
- Security — 90/100
- Privacy — not measurable on this service (null — not scored as 0)
- Reliability — not measurable on this service (null — not scored as 0)
- Standards — 100/100
- Discoverability — 65/100
Open-source teardown
Scored separately — not one of the seven.
- Maintenance — 100/100
What we measured
- No Content-Security-Policy and no HSTS.
- No privacy policy found.
- Sets cookies / loads scripts with no consent prompt.
Who built it
Abhishek Tiwari
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