Content
87%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 a tight, actionable, well-structured guide with concrete MCP calls and a clear sequence; its only meaningful gap is the absence of an error-recovery feedback loop around the batch build operation.
Suggestions
Add a feedback loop after the verify step, e.g., 'If errors are reported, address the failing files/patterns and re-run build_or_update_graph_tool() until list_graph_stats_tool reports no errors.'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence: concrete tool calls, parameters, and a short Notes section with no padding or explanation of concepts Claude already knows; every line earns its place. | 5 / 5 |
Actionability | It gives fully executable, copy-paste-ready MCP tool calls with exact parameters for both the full build and incremental cases, plus a concrete verification call, covering the common scenarios. | 5 / 5 |
Workflow Clarity | The three steps are clearly sequenced with a status-based branch and an explicit verify step, but a full graph build is a batch operation and the workflow lacks a feedback loop (no 'if errors, fix and re-run' guidance), which the rubric caps at 3. | 3 / 5 |
Progressive Disclosure | At under 50 lines with no need for external references, the skill is well-organized into Steps / When to Use / Notes sections, qualifying for the top score under the simple-skill exception. | 5 / 5 |
Total | 18 / 20 Passed |