Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise, actionable, and well-structured, with a clearly sequenced decision workflow, explicit fallback/clarify loops, and appropriately scoped references. It respects the token budget while giving Claude exactly what it needs to classify the mode.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence, explaining only the non-obvious decision criteria without padding or restating concepts Claude already knows; every step earns its place. | 3 / 3 |
Actionability | Concrete, specific decision guidance is given — count ownership boundaries, check produces/consumes synthesis need, apply the shape guard, and overlay ontology-backed mode — with explicit file paths (e.g. '.agentlas/contract-injection-map.json', 'modes/ontology-backed-agent.md'). For an instruction-only decision skill this is actionable and copy-ready. | 3 / 3 |
Workflow Clarity | A clear Step 0–3 sequence is laid out with explicit checkpoints and feedback loops ('run the clarify question loop before generating', 'instead of guessing'), and ambiguity/shape guards catch errors early. | 3 / 3 |
Progressive Disclosure | The skill is under 50 lines with well-organized sections (Procedure, Return, Reference) and a single one-level-deep reference ('docs/mode-classifier.md'), matching the simple-skill allowance for a top score. | 3 / 3 |
Total | 12 / 12 Passed |