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.
A well-architected debugging skill: highly actionable with concrete API endpoints, commands, and a reply skeleton, and excellent progressive disclosure that delegates detail to real, one-level-deep reference files. The debugging workflow is clearly sequenced with confirmation checkpoints but lacks an explicit error-recovery feedback loop, and a couple of sections could be marginally tighter.
Suggestions
Add an explicit feedback loop to the debugging workflow (e.g., 'if the targeted confirmation query contradicts the hypothesis, return to step 4 and re-pull the definition') to push workflow_clarity toward 5.
Tighten the 'Writing the customer reply' rules list — several bullets could be condensed without losing the concrete guidance, improving token efficiency.
Consider adding a one-line 'if unsure, prefer the read-only MCP path' checkpoint at the start of the workflow to make the safe-first discipline explicit in the sequence rather than only in the Access section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and high-signal with no basic-concept preamble (assumes Claude's competence), but the reply-style-guide and feature-work sections are elaborated enough that not every token is load-bearing, keeping it just below a 5. | 4 / 5 |
Actionability | Provides concrete API endpoints, runnable commands (python3 scripts/repos.py ...), named MCP tools, specific grep targets, a parity table, and a copy-paste reply skeleton — fully executable guidance covering the common cases. | 5 / 5 |
Workflow Clarity | A clear 7-step debugging workflow with multiple confirmation checkpoints (steps 2, 5, 6 confirm via queries/events); read-only so the destructive cap does not apply, but it lacks an explicit validate-fail-retry feedback loop, so it sits at 4 rather than 5. | 4 / 5 |
Progressive Disclosure | Clear section headers with one-level-deep, well-signaled references (references/local-repos.md, references/diagnostic-queries.md, scripts/repos.py — all verified present), with bulk query templates and repo logic appropriately split into those files. | 5 / 5 |
Total | 18 / 20 Passed |