Skip to content
Back to skills

Productionos Self Eval

ASecurity

Run self-evaluation on recent work — questions quality, necessity, correctness, dependencies, completeness, learning, and honesty. Enabled by default in all flows. Standalone invocation for on-demand evaluation.

  • 8 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added May 27, 2026
data-airails

Security analysis

A100/100

Scanned May 27, 2026

npx -y skills add ShaheerKhawaja/ProductionOS --skill productionos-self-eval --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Productionos Self Eval?

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

Security grade badge for Productionos Self Eval
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/shaheerkhawaja-productionos-self-eval/badge)](https://www.skillsdirectory.com/skills/shaheerkhawaja-productionos-self-eval)

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

Download with Pro
SKILL.md
---
name: productionos-self-eval
description: "Run self-evaluation on recent work — questions quality, necessity, correctness, dependencies, completeness, learning, and honesty. Enabled by default in all flows. Standalone invocation for on-demand evaluation."
argument-hint: "[target, depth, or evaluation scope]"
---

# productionos-self-eval


Use this alias when you want the same workflow through a top-level Codex-safe name without the `productionos:` namespace.
## Overview

Use this as the Codex-first self-evaluation workflow. It should inspect recent work, score it against the ProductionOS self-eval questions, and if enabled route the result into a repair loop rather than letting low-quality output drift forward.

Source references:
- `.claude/commands/self-eval.md`
- `agents/self-evaluator.md`
- `agents/adversarial-reviewer.md`

## Inputs

- optional `target`
- optional `depth`
- optional `heal`

## Codex Workflow

1. Resolve the evaluation target: last artifact, session, diff, or explicit path.
2. Run the self-eval questions against that target.
3. Classify the result:
   - pass
   - conditional
   - fail
4. If healing is enabled and the result is conditional, route into a focused repair loop.
5. In deep mode, challenge the evaluation with an adversarial second pass.

## Expected Output

- score
- question-by-question weaknesses
- heal recommendation or action
- session summary when the scope is broader than one artifact

## Guardrails

- self-eval itself should remain read-only
- do not blur evaluation and repair in the same step
- low scores should block progress when they indicate real correctness or completeness gaps

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…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.