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.
The skill body is a well-sequenced, validated workflow with concrete commands, checklists, and real loadable reference files. Main weakness is mild verbosity where the Best Practices section repeats earlier guidance.
Suggestions
Remove or compress the DO/DON'T Best Practices section since it duplicates the Workflow and validation checklists above.
Convert the `cat references/...` loads into markdown links so navigation is explicit alongside the load instruction.
Replace the illustrative confirmation-report numbers with placeholder tokens to avoid implying hardcoded results.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with actionable tables and loadable references, but the 'Best Practices' DO/DON'T section and the detailed placeholder table restate Workflow content, introducing some padding that could be trimmed. | 3 / 5 |
Actionability | Provides concrete commands (`cat references/...`, `mkdir -p .github/`), a placeholder-source mapping table, and worked example output, with only minor gaps such as the example report values being illustrative. | 4 / 5 |
Workflow Clarity | Eight clearly sequenced steps with explicit validation checklists (Step 4 positive-constraint validation, Step 6 context-economics validation) and a trim-then-retry feedback loop ('If validation fails: Trim content before writing'). | 5 / 5 |
Progressive Disclosure | Body points to four real one-level-deep reference files via explicit `cat references/...` commands and a Resources section listing each; structure is good though references are loaded via bash rather than linked, a minor navigation gap. | 4 / 5 |
Total | 16 / 20 Passed |