Content
86%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 concise and well-structured with executable commands and a verified script reference. The main gap is the absence of any output-verification guidance for what is otherwise a clean, simple skill.
Suggestions
Add a brief note on validating the result, e.g. checking that CHANGELOG.md is non-empty or reviewing grouped sections after generation, to strengthen workflow_clarity.
Show one line of expected output format so Claude can confirm the script ran correctly and grouped commits as intended.
Mention how the script behaves when --output is omitted (stdout) to close a minor actionability gap.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence: a one-line summary, a single script listing, and two executable command lines with no padding or explanation of concepts Claude already knows, matching the 'lean and efficient; every token earns its place' anchor. | 5 / 5 |
Actionability | Provides concrete, copy-paste-ready commands with real flags (--from/--to/--output) and a verified script path, but does not illustrate the expected output format or alternative invocations, leaving minor gaps versus the fully comprehensive level 5. | 4 / 5 |
Workflow Clarity | As a simple single-action skill the workflow is unambiguous (run the script with two refs), but there is no verification step confirming the generated changelog is non-empty or correct, which keeps it just below the level-5 anchor with explicit checkpoints. | 4 / 5 |
Progressive Disclosure | Well-organized sections (Available Scripts, Usage) with a single one-level-deep reference to a real bundle file (scripts/generate_changelog.py, verified to exist), matching the simple-skill exception where under-50-line skills with well-organized sections score 5. | 5 / 5 |
Total | 18 / 20 Passed |