Content
65%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, actionable protocol body with concrete shell commands and explicit validation checkpoints for its batch file mutations. The two gaps are a missing explicit error-recovery loop in the workflow and a dangling reference to KNOWLEDGE-GRAPH.md, which is not present alongside the skill.
Suggestions
Add an explicit error-recovery loop (e.g., "If the rg pruning check still shows stale paths, re-run pruning and re-validate") to raise workflow clarity from a clear sequence to a self-correcting one.
Either ship the referenced KNOWLEDGE-GRAPH.md alongside SKILL.md or remove/inline the reference so progressive-disclosure navigation does not dead-end.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, table-driven body with no padding or explanations of concepts Claude already knows; every section (entry format, update triggers, retrieval, pruning) earns its place with dense, purposeful content. | 5 / 5 |
Actionability | Provides copy-paste-ready, executable commands — the grep retrieval, printf append, awk familiarity increment, and rg pruning check — covering the common update/retrieval cases concretely. | 5 / 5 |
Workflow Clarity | A dedicated Validation Checkpoints section supplies before-delegating, after-completion, and after-pruning checks (satisfying the batch/destructive validation requirement), but there is no explicit "if validation fails, fix and re-run" error-recovery loop and the end-to-end sequence is organized by topic rather than as a numbered flow. | 4 / 5 |
Progressive Disclosure | Well-organized into clear sections with a clearly signaled one-level-deep reference ("See [KNOWLEDGE-GRAPH.md](./KNOWLEDGE-GRAPH.md)"), but that referenced file does not exist in the bundle, leaving a broken navigation path. | 4 / 5 |
Total | 18 / 20 Passed |