Content
71%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 skill body that leverages its bundle files appropriately and gives concrete commands. Its main weakness is the absence of explicit validation/checkpoint steps in the multi-round research workflow.
Suggestions
Add explicit validation checkpoints between research rounds (e.g., 'After Round 2: confirm 3+ credible sources identified; if not, expand queries before proceeding') to support a feedback loop.
Replace the '/path/to/skill/scripts/github_api.py' placeholder with the resolved relative path so commands are directly executable.
Consider moving the illustrative Mermaid examples into a separate reference file or trimming them, keeping only the inline guidance that earns its token cost.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Efficient, sectioned, and assumes Claude's competence; minor padding in the illustrative Mermaid snippets and the source-prioritization list could be trimmed without losing value. | 4 / 5 |
Actionability | Provides concrete executable commands ('python /path/to/skill/scripts/github_api.py <owner> <repo> summary') and an enumerated command list, plus copy-ready citation examples; the '/path/to/skill/' placeholder is the main gap. | 4 / 5 |
Workflow Clarity | The four research rounds are clearly sequenced with per-round sub-steps, but there are no explicit validation checkpoints or feedback loops (verify -> fix -> retry) between rounds, which matters for a multi-step research workflow. | 3 / 5 |
Progressive Disclosure | SKILL.md is a concise overview that points to real bundle files at one level of depth ('scripts/github_api.py', 'assets/report_template.md') with well-signaled references; minor organization gaps in inline Mermaid examples. | 4 / 5 |
Total | 15 / 20 Passed |