Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill body is well-organized and actionable, with copy-paste commands, clear mode tables, and a real one-level-deep reference for the output schema. It stays lean without over-explaining known concepts.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean with efficient tables and code blocks and never over-explains concepts Claude already knows (ffmpeg, Whisper); the only minor inefficiency is the opening sentence restating the description, which is not enough to drop below 3. | 3 / 3 |
Actionability | It provides copy-paste-ready commands with real script paths, a full CLI options table, and concrete ffmpeg expressions like "select='gt(scene,0.3)'"; not a 2 because the examples are fully executable, not pseudocode. | 3 / 3 |
Workflow Clarity | As a single-task skill, invocation is unambiguous with the three extraction modes clearly compared and the scene-to-interval fallback documented; the simple-skill scoring note allows a 3 without a multi-step workflow. | 3 / 3 |
Progressive Disclosure | The body is a concise overview that defers the full schema to a clearly signaled, one-level-deep reference ("See `references/output-format.md`") which is a real file; not a 2 because the reference is well-signaled and not nested. | 3 / 3 |
Total | 12 / 12 Passed |