Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is highly actionable with concrete commands, a well-sequenced validated workflow, and exemplary reference-based disclosure. Its main weakness is mild verbosity and duplicated openai.yaml instructions that could be consolidated.
Suggestions
Consolidate the openai.yaml generation instructions so they appear once, with the other mentions linking back, to remove repetition and tighten the body.
Trim illustrative analogies ('onboarding guides', 'narrow bridge with cliffs') that restate concepts Codex already understands.
Bundle the referenced scripts (init_skill.py, generate_openai_yaml.py, quick_validate.py) or note where to obtain them, so the copy-paste commands are actually executable from the skill folder.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and assumes Codex's competence, but carries analogy padding ('onboarding guides', 'narrow bridge with cliffs') and repeats the openai.yaml generation instructions across the 'Agents metadata' and 'Step 3' sections, so it 'could be tightened'. | 2 / 3 |
Actionability | Provides concrete, copy-paste-ready commands with full flags and worked examples (init_skill.py with --resources/--examples, quick_validate.py, generate_openai_yaml.py), not vague direction or pseudocode. | 3 / 3 |
Workflow Clarity | The six-step creation process is explicitly sequenced with a validation checkpoint in Step 5 ('If validation fails, fix the reported issues and run the command again') and iteration/forward-test feedback loops in Step 6. | 3 / 3 |
Progressive Disclosure | The lean body points to a real, well-signaled, one-level-deep reference (references/openai_yaml.md, verified present) with clear 'when to read' cues, and teaches explicit disclosure patterns; the referenced scripts/ directory is not bundled but those are executable commands rather than docs references. | 3 / 3 |
Total | 11 / 12 Passed |