Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is token-efficient, well-organized, and uses progressive disclosure cleanly via signaled one-level-deep references. Its weak spots are actionability and workflow clarity: the deliverable format is not exemplified and there is no validation/checkpoint mechanism for the planning output.
Suggestions
Show a concrete example of a "ready plan" output (e.g., a short template: next action, target skill, scope, open questions) so the deliverable is copy-paste ready rather than described.
Add an explicit verification checkpoint at the end of the workflow (e.g., confirm the plan names one concrete next step and the effective path/url before handing off).
For the "surface decisions and blockers" step, give one or two example follow-up questions to make the concrete-clarification guidance actionable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it names files and variables without explaining what findings are or how GitHub works, so every section earns its place. | 3 / 3 |
Actionability | It gives concrete named inputs (path/findings.md, path, url, the scan/test/sync/resolve branches), but the terminal deliverable ("a ready plan", "concrete next step") is described rather than exemplified, leaving the output format incomplete. | 2 / 3 |
Workflow Clarity | The five-step sequence is clearly ordered with an explicit scope-confirm gate, but there is no validation/error-recovery feedback loop and the final "ready plan" is not a verifiable checkpoint. | 2 / 3 |
Progressive Disclosure | The SKILL.md is a concise overview with two clearly-signaled one-level-deep shared references ("Read these shared references when needed") and well-organized sections; the local bundle is empty so nothing is mis-structured. | 3 / 3 |
Total | 10 / 12 Passed |