executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
ppo_recovery_evaluationValidate reduced PPO recovery results for target consistency, source-boundary compliance, numeric metrics, and mechanism-faithful proxy evidence.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this skill after a PPO recovery harness has produced a result and trace. It is especially useful in soft mode, where a reduced proxy may be acceptable only if it exercises PPO's clipped-ratio mechanism.
Do not use it to replace the Distiller recovery experiment validator; use it as a PPO-specific cross-check.
module_plan.json with fast_recovery_target.recovery_result.json or equivalent result object.source_manifest.json or equivalent source list.JSON with ok, errors, warnings, target-match status, metric summary, and source-boundary status.
paper_target against module_plan.fast_recovery_target.Run:
python tests/test_recovery_evaluation.py
python scripts/evaluate_recovery.py --module-plan path/to/module_plan.json --recovery-result path/to/recovery_result.json --source-manifest path/to/source_manifest.json
This skill checks artifact consistency and mechanism evidence. It does not independently rerun training.