Content
75%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, well-structured operating manual with concrete executable examples and a clear collaboration sequence; it stays at 4 across dimensions due to minor gaps in from-scratch steps and explicit validation loops.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence (no explaining what SQL/CSV/DuckDB are); the only sizable block is a complete query.json example that earns its place, leaving minor trims possible rather than full anchor-5 leanness. | 4 / 5 |
Actionability | A copy-paste-ready query.json plus concrete fields and constraints ({{id}} tokens, sampleLimit ≤200, no remote extensions) gives mostly executable guidance, with a minor gap in explicit from-scratch add-a-node steps. | 4 / 5 |
Workflow Clarity | The sequence is clear — read query.json and last_result.json, edit, let the canvas recompute, read results — with the 'read state before changing' checkpoint present; editing a reactive canvas is not destructive/batch so the 3-cap does not apply, but an explicit validate/retry loop is absent. | 4 / 5 |
Progressive Disclosure | No bundle files exist, so scoring is on the single self-contained doc, which is well-sectioned (graph, node kinds, how to collaborate) with content appropriately placed; minor organization room keeps it at anchor 4 rather than 5. | 4 / 5 |
Total | 16 / 20 Passed |