Content
57%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is well-structured and lean, with a clear input/output model and useful anti-patterns, but it describes rather than instructs: there is no executable code, no explicit validation feedback loop for the batch walk, and the actual mechanics are deferred to an external implementation file.
Suggestions
Add an explicit validation checkpoint with a fix-and-retry loop for the batch tree walk (e.g. verify index.json has entries, re-walk on failure) so workflow_clarity can reach 3.
Provide executable or near-executable guidance for producing the snapshot rather than only describing the output schema and deferring to the daemon implementation file.
Trim the rationale prose and internal Spec citations to tighten conciseness toward the top anchor.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient and assumes competence without explaining basic concepts, but prose like "The point is to stop re-walking the tree on every turn" and the Spec §10/§21.3.2 citations add padding that could be tightened. | 2 / 3 |
Actionability | It gives concrete input and output schemas but no executable code or commands; the "Status" section points to an implementation file rather than instructing how to perform the walk, leaving key operational details missing. | 2 / 3 |
Workflow Clarity | The sequence (walk -> write index.json -> convergence) is present and empty repos raise an error event, but the batch tree-walk lacks an explicit validation checkpoint or fix-and-retry feedback loop, which caps workflow clarity at 2 for batch operations. | 2 / 3 |
Progressive Disclosure | It is a single well-organized SKILL.md under 50 lines with clearly labeled sections and no nested references, satisfying the rubric's allowance for simple skills to score 3 on structure alone. | 3 / 3 |
Total | 9 / 12 Passed |