Content
73%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured, highly actionable instruction body with an exemplary validated workflow — explicit checkpoints, feedback loops, and forward-testing discipline. Its main costs are redundancy across sections (forward-testing and agents/openai.yaml each covered two to three times) and the absence of any pointer to the bundled assets.
Suggestions
Consolidate forward-testing guidance into the single 'Forward-testing' section and have 'Protect Validation Integrity' and 'Step 4' reference it in one line each, removing roughly 30-40 duplicated lines.
Mention the agents/openai.yaml instructions once (Step 3) and reduce the 'Agents metadata' anatomy subsection to a one-line pointer, since the details are duplicated.
Reference the bundled assets/ files (skill-creator-small.svg, skill-creator.png) from the body — e.g., in the openai.yaml/icon guidance — so every bundle file is discoverable from SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and models its own principles, but it carries genuine padding: forward-testing guidance is repeated across 'Protect Validation Integrity', 'Step 4: Edit the Skill', and the 'Forward-testing' section; agents/openai.yaml instructions appear in both 'Anatomy' and 'Step 3'; and phrases like 'The script conveniently generates... making the skill creation process much more efficient and reliable' justify rather than instruct. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened', below the minor-trim level of anchor 4. | 3 / 5 |
Actionability | Guidance is largely copy-paste ready: 'scripts/init_skill.py my-skill --path "${CODEX_HOME:-$HOME/.codex}/skills" --resources scripts,references', 'scripts/quick_validate.py <path/to/skill-folder>', plus concrete example user questions and worked planning examples. It falls short of anchor 5 only in gaps like the forward-testing prompt template lacking a complete example invocation and some steps being described rather than shown. | 4 / 5 |
Workflow Clarity | The six-step creation process is clearly sequenced with skip conditions for each step, an explicit validation checkpoint with a fix-and-retry loop ('If validation fails, fix the reported issues and run the command again'), an iteration workflow, and forward-testing decision rules that include when to ask user approval. This matches the anchor: clear sequence, explicit validation steps, feedback loops, and checklists for complex processes. | 5 / 5 |
Progressive Disclosure | Structure is good: references/openai_yaml.md and all three scripts are real files referenced one level deep with clear signals ('Read references/openai_yaml.md before generating values', 'For full field descriptions and examples, see references/openai_yaml.md'), and the body stays under its own 500-line guidance. It misses anchor 5 due to the cross-section duplication (forward-testing, openai.yaml) and because the assets/ bundle files are never referenced or explained from the body. | 4 / 5 |
Total | 16 / 20 Passed |