Content
85%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 body is concise, well-organized, and clearly sequenced for a simple read-only navigation skill. Its main weakness is actionability: it offers strategy and pointers rather than executable commands or worked examples.
Suggestions
Add one or two concrete executable examples, e.g. a sample glob/grep invocation for finding an entry point or tracing a function definition.
Show a tiny worked trace (entry point -> import -> data model -> test) to make the sequence immediately actionable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and pithy ('Find the data model first — it shapes everything else'; 'Read tests: they document expected behavior better than comments') and assumes Claude's competence without padding or explaining basic concepts. | 3 / 3 |
Actionability | It names concrete entry-point files (`main.py`, `__init__.py`, `index.ts`, `App.tsx`) and tools (glob, grep), but the guidance stays at strategy level with no executable commands or copy-paste examples. | 2 / 3 |
Workflow Clarity | The numbered 'Exploration strategy' (1–5) gives a clear, well-sequenced process for a read-only task; the simple-skill note permits a 3 here since no validation checkpoints apply to non-destructive exploration. | 3 / 3 |
Progressive Disclosure | At under 50 lines with no need for external references, the well-organized sections (Exploration strategy, Efficient search, Anti-patterns) satisfy the rubric's simple-skill allowance for progressive disclosure. | 3 / 3 |
Total | 11 / 12 Passed |