Content
87%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is lean, highly actionable with concrete MCP tool invocations, and well-organized as a short single-file skill. Its only gap is the lack of explicit validation checkpoints in the exploration workflow.
Suggestions
Add an explicit checkpoint early in the workflow, e.g. after `list_graph_stats`, 'If no graph is indexed, stop and tell the user to build the graph first.'
Clarify when to stop drilling (e.g. 'When a community or node matches the target, read its detail and stop broadening') to make the narrowing loop a real feedback checkpoint.
Note that `get_minimal_context` is listed under Token Efficiency Rules but not placed first in the numbered workflow, so reorder or cross-reference it to make the intended first call unambiguous.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean: terse tool-call steps and directive token-efficiency rules, with no explanation of concepts Claude already knows and no padding. | 3 / 3 |
Actionability | It names concrete, copy-paste-ready MCP tools and parameters (e.g. `query_graph_tool` with `callers_of`/`callees_of` and `detail_level="minimal"`) rather than abstract descriptions. | 3 / 3 |
Workflow Clarity | A clear broad-to-narrow numbered sequence is present, but there are no explicit validation checkpoints (e.g. verifying a community or graph exists before drilling deeper); checkpoints are only implicit in the 'start broad then narrow' tip. | 2 / 3 |
Progressive Disclosure | This is a short (<50 line) single-file skill with no bundle files and well-organized sections (Steps, Tips, Token Efficiency Rules), which per the rubric can score 3 on progressive disclosure. | 3 / 3 |
Total | 11 / 12 Passed |