General skillCode review and quality

verified-experiments

Guards ML experiments against fake results with provenance, leakage, sanity, and reviewer gates.

Stars
1
Forks
0
License
MIT
Updated
Updated Jul 10, 2026

Checking live repository facts…

Project overview

verified-experiments adds a Python harness and Claude skill with guards for data and Git provenance, real-data sanity, label leakage, impossible metrics, stored predictions, reproducibility, silent fallbacks, guard meta-tests, and code review. Each guard rejects a deliberate fake, and the diagnoser explains the failed gate and next step. An optional agent loop may edit experiment code but cannot change the guards, tests, reviewer, or diagnoser to make a run green.

Repository facts

Primary language
Python
License
MIT
Repository updated
Jul 10, 2026
Default branch
main

Resource types

General skill

Use cases

Code review and qualityTesting and debugging

Platforms

Claude Code, Codex, and more

Capabilities

Security guardrailVerification and evals

Related projects

Browse more similar projects