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 well-crafted: concise, fully actionable with executable commands and a clear output schema, a sequenced workflow with explicit error-recovery loops, and clean single-file organization. No bundle files exist to verify against, but the structure is appropriate for its scope.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — tables, executable snippets, and minimal preamble — and avoids explaining concepts Claude already knows (no "what is a YouTube Short" padding); every section earns its place, matching the "lean and efficient, assumes Claude's competence" anchor. | 3 / 3 |
Actionability | It provides copy-paste-ready bash invocations with concrete flags (e.g. "bash .../run-youtube-shorts.sh --source ... --platform tiktok --view"), a JSON output schema, and an async/polling pattern, fully satisfying the executable, specific-examples anchor. | 3 / 3 |
Workflow Clarity | Steps are explicitly sequenced (collect inputs → verify prerequisites → run pipeline), the pipeline polls until done, and the Failure Modes section supplies error-recovery feedback loops (bump --poll-timeout and retry, re-fetch the request_id, upload the file), satisfying the clear-sequence-with-explicit-checkpoints anchor. | 3 / 3 |
Progressive Disclosure | As a single-file skill with no bundle files present, the body is organized into well-signaled sections (inputs, prerequisites, pipeline, defaults, patterns, output, mistakes, failure modes, done criteria) with one-level-deep pointers to the AI Clipping primitive, matching the well-organized-sections anchor. | 3 / 3 |
Total | 12 / 12 Passed |