rlxp-audit-results
CommunityValidate RL claims before promotion
Software Engineering#reinforcement learning#guardrails#experiment audit#evaluation protocol#candidate validation#metric provenance
Authorjunhyekh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you decide whether an RLXP improvement claim is trustworthy before you promote a candidate or accept an autoloop result.
Core Features & Use Cases
- Checks task and study identity so results are matched to the correct contract and scope.
- Verifies metric provenance, held-out evaluation, checkpoint selection, guardrails, and output consistency.
- Use it when reviewing a new experiment, validating an autoloop proposal, or rejecting a claim that relies only on training reward.
Quick Start
Use the rlxp-audit-results skill to audit the attached candidate, contract, metrics, run summary, and report claim for promotion readiness.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rlxp-audit-results Download link: https://github.com/junhyekh/rlxp/archive/main.zip#rlxp-audit-results Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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