Content
92%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 a tightly engineered pipeline runbook: fully actionable, with explicit validation gates and feedback loops that satisfy the destructive/batch rubric, and well-structured progressive disclosure backed by real bundle files. Only minor conciseness gains remain in a few explanatory sentences.
Suggestions
Tighten a few rationale sentences (e.g. the symlink-permanence and mtime-staleness explanations) to lift conciseness without losing the operational rule.
Consider moving the lengthy Step 1 trade-off detail fully into references/project-setup.md and keeping a one-line pointer, since it already points there.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is information-dense with no basic-concept padding and assumes Claude's competence, but its length (a multi-format pipeline with many edge cases) leaves a few rationale sentences that could be trimmed; it is efficient rather than ultra-lean. | 4 / 5 |
Actionability | Every step ships concrete, copy-paste-ready bash commands with real scripts, specific flags, and file paths (e.g. 'python3 scripts/normalize_clips.py work/clips.json --outdir work/mezz --profile auto'), covering the common cases fully. | 5 / 5 |
Workflow Clarity | A clearly sequenced 8-step pipeline with two mandatory human gates, explicit validation/QC checkpoints (check_cuts.py, verify_cut.py, audit_plan.py), 'gate on process exit' rules, and fix→re-render→re-gate feedback loops — exceeding the validation-required bar for a batch/destructive skill. | 5 / 5 |
Progressive Disclosure | SKILL.md is an overview that points one level deep to 9 real reference files and 25 scripts, each clearly signaled in the Reference Files section with 'Read when...' navigation cues; detail is appropriately split out and all referenced paths exist in the bundle. | 5 / 5 |
Total | 19 / 20 Passed |