Content
76%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.
The body is highly actionable with copy-paste patterns and a clean structure, but its batch operation lacks explicit validation checkpoints between steps, capping workflow clarity. Progressive disclosure is sound with a real referenced script.
Suggestions
Insert a verification checkpoint after Step 3 (e.g., check that result.shorts entries have working clip_url before reporting back) to lift workflow_clarity above the batch cap of 3.
More explicitly signpost the bundled run-ai-clipping.sh as the canonical reference at first mention so progressive disclosure reads as deliberate delegation.
Trim the virality-framework bullet list or move it to a reference file to push conciseness from 4 to 5.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Efficient and assumes Claude's competence with no concept-over-explanation; the virality-framework bullets and pattern gallery are slightly long but each earns its place, just shy of a 5. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready bash commands across the Quick Invocation Patterns cover the common cases (defaults, podcast, square, coords-only, async, local file, batch) with concrete flags and jq usage. | 5 / 5 |
Workflow Clarity | Steps are sequenced (Collect Inputs → Verify Prerequisites → Run) but the batch operation has no per-step validation checkpoint — Done Criteria lives only at the end, so the batch-operation cap holds at 3. | 3 / 5 |
Progressive Disclosure | Well-organized sections with a single one-level-deep bundle reference (scripts/run-ai-clipping.sh, which exists) and no nested references; falls short of 5 because the body could more explicitly signpost the script as the detailed reference. | 4 / 5 |
Total | 16 / 20 Passed |