Content
86%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 content is highly actionable and well-structured for a simple retrieval skill, with executable commands and a clear workflow. Minor verbosity in the inline bash derivation snippets is the only thing holding it back from top marks.
Suggestions
Move the dynamic-collection derivation bash into the referenced derive-collection.sh and inline only a short call, reducing noise at the top of the body.
Add an explicit validation/checkpoint note after the search step (e.g., "if results are empty or off-topic, reformulate the query") to strengthen the feedback loop.
Condense the three similar exploration one-liners in "When unsure what to search" into a single parameterized example to save tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean and assumes Claude's competence, but the inline dynamic-collection bash one-liner and the three exploration one-liners in "When unsure" add noise that could be trimmed or factored out; not quite a 5. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready commands (memsearch search/expand with exact flags, transcript.py invocation) plus a concrete fallback (uvx memsearch) and example bash snippets, covering the common cases. | 5 / 5 |
Workflow Clarity | A clear numbered 1-5 sequence with an evaluation checkpoint (step 2) and a fallback exploration loop in "When unsure"; minor gaps in explicit validation/error-checkpoints beyond the memsearch-not-found case keep it just under 5. | 4 / 5 |
Progressive Disclosure | A simple, single-purpose skill under 50 lines with well-organized sections (Project Collection, Your Task, Steps, When unsure, Output Format) and one-level-deep references to plugin scripts; structure is easy to navigate. | 5 / 5 |
Total | 18 / 20 Passed |