Content
61%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 skill body is a well-structured, actionable behavioral policy with clean one-level-deep platform references, but it carries rhetorical repetition that pads the token budget and lacks explicit validation checkpoints in its workflow. It is effective guidance with room to tighten.
Suggestions
Collapse the <EXTREMELY-IMPORTANT> block and trim the Red Flags table, since both restate 'invoke skills before acting'; keep one concise reinforcement instead of many.
Add an explicit validation step to the workflow (e.g., confirm the invoked skill actually matches the task before proceeding).
Add a Platform Adaptation entry for Gemini to match the existing gemini-tools.md reference and the GEMINI.md mention in the body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Sections are short and well-organized, but the <EXTREMELY-IMPORTANT> block and the 12-row Red Flags table restate the same single idea ('check for skills first') several times, adding rhetorical padding around a concept Claude already understands. | 3 / 5 |
Actionability | Gives concrete behavioral directives such as 'Invoke relevant or requested skills BEFORE any response', announce 'Using [skill] to [purpose]', and create a todo per checklist item, with only a minor gap in platform-specific invocation mechanics. | 4 / 5 |
Workflow Clarity | A clear sequence exists (check for skills, invoke, announce, follow exactly, create todos), but there are no explicit validation checkpoints or feedback loops to confirm the right skill was applied, leaving checkpoints implicit. | 3 / 5 |
Progressive Disclosure | The body is a concise overview with a clearly signaled one-level-deep reference list (Codex, Pi, Antigravity, Hermes) pointing to verified real files; the minor gap is that gemini-tools.md exists and Gemini is referenced in the body but has no Platform Adaptation entry. | 4 / 5 |
Total | 14 / 20 Passed |