{"name":"vivekvkashyap-env-audit","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"vivekvkashyap-env-audit","source":{"source":"github","repo":"vivekvkashyap/rlenv_audit"},"description":"Audit a Prime Intellect / verifiers RL environment before training on it. Six judgment-based checks (integrity, problem-statement alignment, reward design, latency, rollout quality, contamination) run by the agent, producing a scorecard with scores and written justifications, plus an opt-in env-repair skill that applies the feedback to a local copy.","version":"0.5.2","strict":true,"keywords":["rl","reinforcement-learning","verifiers","prime-intellect","audit"],"category":"testing"}]}