القائمة
Run the MiniWoB eval and iterate on raising the success rate without increasing task-inference latency. Use when the user asks to improve, measure, or iterate on MiniWoB (miniwob/miowob) scores or browser tool-interaction eval results.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | improve-miniwob |
| description | Run the MiniWoB eval and iterate on raising the success rate without increasing task-inference latency. Use when the user asks to improve, measure, or iterate on MiniWoB (miniwob/miowob) scores or browser tool-interaction eval results. |
Iterative loop to raise the MiniWoB success rate with latency pinned flat.
npm run cache:showuinode scripts/cache-miniwob.mjs (gitignored corpus)pgrep -f playwright empty and no other eval node process running- [ ] 1. Baseline: run the MiniWoB harness (opt-in script under tests/miniwob/, see package.json eval script) — record success rate per tool category
- [ ] 2. Pick ONE generic candidate from the dominant failure mode
- [ ] 3. Re-run the same filtered task set
- [ ] 4. Verify latency: npm run test all-green, best `[perf:e2e] task inference` ms within ~5% of committed baseline
- [ ] 5. Cross-check Mind2Web strict bbox @100 has not regressed (shared levers)
- [ ] 6. Keep → commit with before→after rate + latency ms; Revert otherwise. Repeat.
Generic only: vision-resize quality (src/snapdom/vision-resize.ts), capture JPEG/encode quality, parse robustness, prompt plumbing correctness (card-verbatim _NAV_SYSTEM stays verbatim), worker/WASM fixes.
no-dom-grounding.mdc, vision-only-execution.mdc)no-grounding-query-overfit.mdcPer .cursor/rules/accuracy-speed-tradeoff.mdc: ≤5% slower needs any real gain; 5–15% slower needs a dramatic win; >20% never. Commit messages must state both metrics.