mini-ork
Reduces risk of deploying unvalidated AI-generated patches by automating bug reproduction and invariant testing, ensuring fixes actually resolve issues rathe…
Prove an AI-written fix actually fixes the bug. mini-ork certify reproduces the bug against your repo's own code, attacks the patch with generated invariants in a Docker sandbox, and returns PROVEN / REFUTED / UNVERIFIED with a JSON certificate. Part of a verifier-gated, multi-model agent runtime.
- Ask Claude to verify AI-generated bug fixes work before merging to production code
- Generate test invariants and sandbox attacks to validate patch effectiveness automatically
- Automate proof-of-fix certification with reproducible Docker environments for code reviews
Reduces risk of deploying unvalidated AI-generated patches by automating bug reproduction and invariant testing, ensuring fixes actually resolve issues rather than introducing new failure modes.
DevOps teams and engineering leads integrating AI-assisted code fixes into CI/CD pipelines requiring proof-based deployment gates.
https://github.com/SourceShift/mini-ork
By SourceShift
How to Get It
claude plugins install SourceShift/mini-ork
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Verify AI-generated bug fixes work before merging to production code
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Student Builds Daphne Oram’s Unfinished ‘Mini-Oramics’ — Hacker News · 66 pts
- Ask HN: Who is still thrilled with their M1 Mac (Mini or otherwise) — Hacker News · 16 pts
- Cells have more mini 'organs' than researchers thought — Hacker News · 10 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.