Content
93%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 tight, highly actionable retrieval skill with concrete executable commands, a clearly sequenced workflow, and an evaluation checkpoint. The only minor gap is the absence of an explicit validation feedback loop, though the read-only nature of the task makes this a small concern.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient throughout — assumes Claude's competence, never explains what memory or memsearch is, and every section delivers concrete commands or guidance with no padding. | 5 / 5 |
Actionability | Fully executable, copy-paste-ready commands with specific flags ('memsearch search "<query>" --top-k 5 --json-output --collection ...', 'memsearch expand <chunk_hash>', 'python3 .../parse-transcript.py <session_id> --turn <turn_id> --context 3') plus a fallback ('uvx memsearch'). | 5 / 5 |
Workflow Clarity | Five steps are clearly sequenced (Search → Evaluate → Expand → Deep drill → Return) with an Evaluate checkpoint and conditional branching, but there is no explicit validate-and-retry feedback loop, which keeps it just below the top anchor. | 4 / 5 |
Progressive Disclosure | A self-contained skill under 50 lines with well-organized sections (Project Collection, Your Task, Steps, When unsure, Output Format) and no need for external bundle references, meeting the simple-skill exception for a top score. | 5 / 5 |
Total | 19 / 20 Passed |