Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The body is dense but well-organized and highly actionable, with executable commands, exact catalogue shapes, and an explicit post-update validation checklist. It assumes Claude's competence and avoids concept re-explanation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean, competence-assuming prose with tables and tight field lists; no explaining of basic concepts Claude already knows. Not level 2 because there is no padded or unnecessary explanation to tighten. | 3 / 3 |
Actionability | Provides executable commands ('python .agents/skills/ai-models/scripts/model_info.py <model_id>'), exact file paths, concrete pricing-union code shapes, and provider URLs — copy-paste ready guidance rather than pseudocode. | 3 / 3 |
Workflow Clarity | Sequenced multi-step processes ('Adding a model / route') plus an explicit 'After Any Update' validation checklist (tsc --noEmit, docs match, page renders, grep for stale IDs) and a budget checkpoint before wiring video; not level 2 because validation checkpoints are explicit, not implicit. | 3 / 3 |
Progressive Disclosure | Well-sectioned overview (When to Use, Key Files, Tools, per-domain sections) with the referenced script (scripts/model_info.py) confirmed as a real file and no deeply nested reference chains; not level 2 because structure and signaled references are clear rather than merely present. | 3 / 3 |
Total | 12 / 12 Passed |