Skip to content
Back to skills

Ppo Recovery Evaluation

ASecurity

Validate reduced PPO recovery results for target consistency, source-boundary compliance, numeric metrics, and mechanism-faithful proxy evidence.

  • 247 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added September 9, 2026
toolspythonbash

Works with

  • cli

Security analysis

A100/100

Scanned September 9, 2026

npx -y skills add VectorSpaceLab/AREX-Skill --skill ppo_recovery_evaluation --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Ppo Recovery Evaluation?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Ppo Recovery Evaluation
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/vectorspacelab-ppo-recovery-evaluation/badge)](https://www.skillsdirectory.com/skills/vectorspacelab-ppo-recovery-evaluation)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

SKILL.md
---
name: ppo_recovery_evaluation
description: Validate reduced PPO recovery results for target consistency, source-boundary compliance, numeric metrics, and mechanism-faithful proxy evidence.
---

# PPO Recovery Evaluation

## When To Use

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.

## Inputs

- `module_plan.json` with `fast_recovery_target`.
- `recovery_result.json` or equivalent result object.
- `source_manifest.json` or equivalent source list.
- Optional generated-skill invocation log.

## Outputs

JSON with `ok`, `errors`, `warnings`, target-match status, metric summary, and source-boundary status.

## Workflow

1. Compare recovery `paper_target` against `module_plan.fast_recovery_target`.
2. Confirm all metrics are numeric.
3. Confirm required mechanism checks are true for proxy recovery.
4. Confirm source manifest does not include the original repository path.
5. Confirm generated core skills were invoked or cross-checked.
6. Return actionable errors if any requirement fails.

## Validation

Run:

```bash
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
```

## Limitations

This skill checks artifact consistency and mechanism evidence. It does not independently rerun training.

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…