Content
67%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, genuinely actionable instruction skill: a clear six-step creation workflow with an embedded validation feedback loop and concrete script commands backed by real bundle files. The main costs are redundancy between the anatomy overview and the per-directory sections, and an implicit (never-instructed) testing step.
Suggestions
Collapse the directory descriptions: keep either the anatomy tree or the Scripts/References/Assets subsections, not both — currently 'Documentation intended to be loaded into context as needed' appears in two places nearly verbatim.
Add a concrete testing instruction in Step 6 (e.g., how to exercise the new skill on one of the Step 1 example prompts and what a pass looks like), since 'After testing the skill' currently assumes a step that was never defined.
Mention quick_validate.py in the body (e.g., 'run scripts/quick_validate.py for a fast check without packaging') so all three bundled scripts are discoverable, and prefix the two script commands with 'python' for copy-paste reliability.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient but carries noticeable redundancy: the anatomy tree (lines 30-41) repeats the same directory descriptions that the 'Scripts/References/Assets' subsections then restate with near-identical wording, and the frontmatter 'Metadata Quality' advice overlaps with Step 4's writing guidance. It is not severely padded with concepts Claude already knows (the skill-anatomy material is the skill's actual subject matter), so it sits at the 'could be tightened' level 3 anchor rather than level 2, but it is not the lean 'every token earns its place' level 5. | 3 / 5 |
Actionability | Guidance is mostly executable: concrete commands ('scripts/init_skill.py <skill-name> --path <output-directory>', 'scripts/package_skill.py <path/to/skill-folder> ./dist'), specific user-question examples for Step 1, and three worked analysis examples (pdf-editor, frontend-webapp-builder, big-query). Minor gaps keep it below 5: the commands are shown without a 'python' invocation prefix, and there is no concrete example of what a finished SKILL.md passage or frontmatter description should look like. | 4 / 5 |
Workflow Clarity | A clearly sequenced six-step process with per-step skip conditions, and the packaging step includes an explicit validate-on-fail loop ('If validation fails, the script will report the errors... Fix any validation errors and run the packaging command again'). The gap that keeps it at 4 rather than 5 is testing: Step 6 opens with 'After testing the skill' without ever instructing how to actually test or verify a newly created skill, so that checkpoint is implicit. | 4 / 5 |
Progressive Disclosure | Scored against the actual bundle (scripts/init_skill.py, package_skill.py, quick_validate.py; no references/ or assets/): both scripts referenced in the body are real, invoked with exact paths, and are one level deep with no nested-reference chains; the body itself is well-sectioned and under 5k words. Minor gaps: quick_validate.py is bundled but never surfaced in SKILL.md (it is silently imported by package_skill.py), and the illustrative paths like 'references/finance.md' are hypothetical examples rather than signals of real files, so navigation is good but not fully clean. | 4 / 5 |
Total | 15 / 20 Passed |