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, actionable instruction skill with explicit templates, a clear three-phase workflow, and a drift feedback loop. The main weakness is verbosity in the interop/learning-signal prose, which could be trimmed without losing clarity.
Suggestions
Tighten the 'Relationship with context-surfing' section: the precedence/cadence prose can be condensed to a short rule list without the extended contrastive explanation.
Trim the 'How intent frames become learning signals' subsection to a few bullets; the rationale restates information already implied by the structured block headers.
Consider moving the 'Entire CLI Integration' detail into a separate reference file so SKILL.md stays a lean overview, which would also raise progressive_disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with concrete templates, but the 'Relationship with context-surfing' and 'How intent frames become learning signals' sections contain explanatory prose that could be tightened; not padded enough to drop to 2. | 3 / 5 |
Actionability | Provides copy-paste-ready markdown block templates (Intent Frame/Check/Resolution) and concrete commands (`entire status`), with only minor conditional gaps in the reuse-rules keeping it from a 5. | 4 / 5 |
Workflow Clarity | Three phases are clearly sequenced with an explicit drift-detection feedback loop (check -> ask -> update or return), though a few checkpoints are implied rather than checklist-formal. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly headed sections with no nested references; the long Entire CLI and Interoperability sections are inline but coherent, representing minor organization gaps rather than monolithic structure. | 4 / 5 |
Total | 15 / 20 Passed |