Content
57%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.
The body is actionable and well-organized with concrete commands and validation/scope-checking, but it is somewhat redundant and lacks an explicit batch feedback loop and external reference splitting. Scores are solidly mid-range across dimensions.
Suggestions
De-duplicate the CLI examples (Audit-Ready Commands vs CLI Usage) and fold Quick Check into a single verification block to improve conciseness.
Add an explicit validate->fix->retry feedback loop for batch operations, e.g. re-run on failures or re-validate low-confidence blocks before final output.
Move the full JSON output schema, parameter table, and dependency list into a separate reference file referenced one level deep from SKILL.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient and free of elementary concept explanations, but the same CLI examples appear twice (Audit-Ready Commands and CLI Usage) and Quick Check overlaps Audit-Ready Commands, so it could be tightened. | 3 / 5 |
Actionability | Provides concrete, executable commands, a full parameter table, and a copy-paste JSON output schema; the only minor gap is the documented --encoding flag not matching the actual script's arguments. | 4 / 5 |
Workflow Clarity | The workflow has a clear sequence and scope-validation step, but for a batch-capable skill there is no explicit validate->fix->retry feedback loop, which caps workflow clarity at 3 per the batch-operation guidance. | 3 / 5 |
Progressive Disclosure | Well-sectioned single file with the one bundle (scripts/main.py) correctly referenced, but for a skill this size content that could live in separate reference files (full JSON schema, parameter table, dependencies) is inlined. | 3 / 5 |
Total | 13 / 20 Passed |