Content
86%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.
An action-dense, well-structured skill body with copy-paste commands for both platforms and properly delegated detail files. The only meaningful improvement is making the workflow's validation feedback loop explicit rather than implied.
Suggestions
Promote the validation loop into an explicit step: after capturing AFTER, state 'Compare to BEFORE; if behavior unchanged, diagnose and re-run' to formalize the feedback loop.
Trim the inline gotchas paragraphs (e.g. the perf-overlay note) into a one-line pointer to the rule file to tighten conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and efficient with no padding of basic concepts; each section (decision table, recipes, regression scenarios) earns its place. Minor over-explanation in the gotchas blocks keeps it just below anchor 5. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready commands for both backends (node ...cdp-shot.mjs, agent-device click 'id=...', yarn app:desktop) covering the common desktop and RN cases. | 5 / 5 |
Workflow Clarity | A numbered checklist with a clear evidence gate in step 6 ('do not claim fixed without screenshot') and BEFORE/AFTER comparison; not a 5 because validation checkpoints are implicit rather than formal feedback-loop steps. | 4 / 5 |
Progressive Disclosure | Body is a clear overview with well-signaled one-level-deep references to real bundle files (references/rules/electron-cdp.md, references/rules/agent-device-rn.md, scripts/cdp-shot.mjs); content is appropriately split and easy to navigate. | 5 / 5 |
Total | 18 / 20 Passed |