Content
65%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A detailed, highly actionable audit skill whose dense tables carry most of the value. It is let down by verbose conceptual asides, a missing validation loop for batch split generation, and inline material that would benefit from being split into reference files.
Suggestions
Trim conceptual/sourcing asides (Böckeler inspiration note, AGPL justification, 'modelo conceitual' caveat) to lift conciseness toward 3.
Add an explicit validation step after split generation (e.g. verify each split is non-empty and its pointers resolve) to give the batch output a feedback loop.
Move the harnessability scoring model and the recommend-automation mode into reference files referenced from SKILL.md to improve progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient thanks to dense signal-detection tables, but explanatory asides add padding ('Inspirado em Birgitta Böckeler...', the AGPL licensing justification, 'Este é um modelo conceitual...') that Claude does not need. | 2 / 3 |
Actionability | Highly actionable: concrete detection patterns ('tsconfig.json strict:true', 'Cargo.toml', 'app.get/post/put/delete', 'schema.prisma'), explicit persistence paths, and a split catalog with 'Gerar quando detectar' conditions. | 3 / 3 |
Workflow Clarity | Sequence (audit -> persist -> splits -> handoff) and a completion checklist exist, but generating multiple split files is a batch operation with no explicit validate/verify feedback loop, capping this dimension at 2. | 2 / 3 |
Progressive Disclosure | External references are one level deep and signaled ('apenas quando necessario'), but no bundle files exist and the inline harnessability scoring model plus the full recommend-automation mode are content that could live in separate reference files. | 2 / 3 |
Total | 9 / 12 Passed |