Content
88%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 executable commands, clear sequencing, and strong validation checkpoints for a fragile batch operation. Its main weakness is conciseness: several deep-dive sections on internal mechanics could be offloaded to reference files to improve token efficiency and progressive disclosure.
Suggestions
Move the 'How the comparison works' YIQ/pixelmatch internals and the full 'What makes a shot reproducible' deep-dive into a references/ file, leaving a one-line summary in SKILL.md with a clear link.
Tighten the 'The caption' subsection: the operational rule (keep shots.json next to shots) is what matters; the rendering/typeface fallback detail can be trimmed.
Consider extracting the residual-noise story table (the three bimodal stories) into a reference doc, keeping only the principle 'diff a story against itself before believing its number' inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and assumes Claude's competence with concrete commands and tables, but the deep 'What makes a shot reproducible' and 'How the comparison works' sections explain internal mechanics at length that could be trimmed or moved to references. | 4 / 5 |
Actionability | Provides fully executable, copy-paste-ready bash commands for server startup, capture, and diff, plus a complete flag table and concrete examples covering the common cases. | 5 / 5 |
Workflow Clarity | Clear multi-step loop with explicit validation (noise-floor run before believing a number, two-identical-frames check, busy flagging) and feedback loops (git stash/restore even on capture failure, re-validate by diffing a story against itself); the destructive/batch caveat is well handled. | 5 / 5 |
Progressive Disclosure | Well-organized with clear sections and two real bundle scripts referenced by path, but several substantial subsections (caption mechanics, comparison internals, reproducibility deep-dive) are inlined in SKILL.md rather than split into one-level-deep reference files. | 4 / 5 |
Total | 18 / 20 Passed |