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생산성 및 협업 · SKILL.md

sac_recovery_evaluation

sac_recovery_evaluation

Score reduced Soft Actor-Critic recovery traces for mechanism fidelity and source boundary compliance.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: sac_recovery_evaluation description: Score reduced Soft Actor-Critic recovery traces for mechanism fidelity and source boundary compliance.

SAC Recovery Evaluation

Use this skill after a bounded SAC recovery run has produced a trace. It decides whether the proxy exercised the paper mechanism. Do not use it as a substitute for executing the recovery command.

Inputs

  • Mechanism checks from recovery_result.json.
  • Training trace with losses and parameters before/after.
  • Generated skill invocation records.
  • Source-boundary flags.

Outputs

  • mechanism_pass_rate.
  • Failed check names.
  • Boolean ok for proxy acceptance evidence.

Workflow

  1. Verify entropy, replay, twin-Q, critic, actor, target, and optimizer checks.
  2. Verify losses and parameters changed in the trace.
  3. Verify generated skills were invoked.
  4. Verify no original repository source was used in recovery.

Validation

Run python tests/test_evaluation.py or validate the full skill tree with the Distiller validator.

Limitations

This skill validates reduced/proxy evidence only; final acceptance still belongs to the Distiller analysis step.

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