Content
67%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.
A well-structured routing skill with genuinely actionable defaults, exact API parameter syntax, and an excellent task-indexed reading guide. Its main weaknesses are redundancy — model and thinking guidance is repeated in four sections — and inlined time-sensitive details (pricing, dates, beta headers) that both cost tokens and will age poorly.
Suggestions
State the adaptive-thinking/`budget_tokens` rule once in a single section and reference it from the others; the current repetition across Defaults, Current Models, Thinking & Effort, and Common Pitfalls costs tokens without adding information.
Move the model/pricing table and Compaction beta details into a shared reference file (e.g., `shared/models.md`, which is already referenced) to keep the overview stable and lean, since time-sensitive data inlined in SKILL.md ages poorly.
Trim conversational asides ("we wouldn't mess with you like that", "that's the user's decision, not yours") — they pad the skill without changing behavior.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient tables and decision trees, but model/thinking guidance is repeated across Defaults, Current Models, Thinking & Effort, and Common Pitfalls ("do NOT use `budget_tokens`" appears four or more times), and time-sensitive data (pricing, "cached: 2026-02-17", beta header `compact-2026-01-12`) is inlined rather than confined to a deprecated/old-patterns section, with conversational asides ("we wouldn't mess with you like that") adding padding. This fits 'mostly efficient but includes some unnecessary explanation or could be tightened'; it is above 2 because most sections are tight and load-bearing. | 3 / 5 |
Actionability | Gives exact model ID strings, exact parameter syntax (`thinking: {type: "adaptive"}`, `output_config: {format: {...}}`), SDK helper names (`.get_final_message()` / `.finalMessage()`), and a task-to-file reading map — mostly executable guidance with minor gaps (no inline install/quick-start code). Per the rubric's instruction-only note, absence of code is not penalized when guidance is this actionable, but it lacks the copy-paste-ready examples of a 5. | 4 / 5 |
Workflow Clarity | The core workflow (detect language → choose surface → read specific files) is a clear numbered sequence with ambiguity checkpoints: ask the user which language, fall back to AskUserQuestion options, and default to Python with a note. It is not a destructive or batch operation so no cap applies, but there are no explicit validate-and-recover loops, keeping it at 'clear sequence with most checkpoints' rather than 5. | 4 / 5 |
Progressive Disclosure | The Reading Guide is a well-signaled, one-level-deep reference map with 'Read when...' conditions per file, which is 5-level navigation; however, detail-heavy content (the model/pricing table, Thinking & Effort, Compaction) is inlined in the overview rather than split into the referenced shared files, and no bundle files exist alongside SKILL.md to verify the referenced paths. Net: good structure with minor organization gaps, matching anchor 4. | 4 / 5 |
Total | 15 / 20 Passed |