Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
An efficient, highly actionable skill body with a well-sequenced read-only workflow and clean self-contained organization. Token-budget rationale and batch-fetch guidance reinforce good practice without padding.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence, with dense parameter tables and token-cost notes that earn their place rather than explaining concepts Claude already knows. | 3 / 3 |
Actionability | Every step provides fully executable MCP tool calls with real parameters and copy-paste-ready examples (search, timeline, get_observations), plus concrete worked examples. | 3 / 3 |
Workflow Clarity | A clearly sequenced 3-layer workflow (search -> timeline -> fetch) with explicit gating ('NEVER fetch full details without filtering first') and batch-fetch guidance; the operations are read-only so the absence of destructive-validation checkpoints does not cap the score. | 3 / 3 |
Progressive Disclosure | No bundle files exist, so the content is appropriately self-contained in a single well-sectioned file with clear headers and one-level navigation (the /knowledge-agent pointer is a sibling skill, not a nested reference chain). | 3 / 3 |
Total | 12 / 12 Passed |