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.claude/skills/elie222-review/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 47% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 4% | 0% |
| case-22 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 14% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 23% | 0% |
Code review with craftsman's eye. Auto-fix obvious issues, surface real bugs.
Reference @AGENTS.md for project conventions. Apply those patterns as review criteria.
path/to/file.ts:123 format only| Category | What | Action | |----------|------|--------| | BUG] | Logic errors, security, data loss, race conditions | Report → wait | | FIX] | Type gaps, missing error handling, test gaps, slop | Report → wait | | AUTO] | Unused imports, dead code, console.log, typos | Fix immediately | | CONSIDER] | Refactors, style opinions, nice-to-have | Mention only |
AUTO examples:
NOT AUTO (needs confirmation):
Always ask these questions during review:
_vars or // removed comments?components/ subfolder — we don't do that in route directories)apps/web/components/.validation.ts fileswithAuth or withEmailAccount?Awaited<ReturnType<typeof fn>>?LoadingContent for loading/error states?useAction from next-safe-action/hooks for form submissions?z.infer<typeof schema> instead of duplicate interfaces?logger.trace() for PII fields?.claude/skills/testing/SKILL.md?@/utils/logger?apps/web/utils/ai/reply/draft-attribution.ts DRAFT_PIPELINE_VERSION bumped for analytics?AGENTS.md or this review file?Inheritance Test: Would I curse the previous author? Understand at 2am?
Pride Test: Would I put my name on this?
Auto-detect: conversation changes → staged → current diff
bashgit diff --cached --name-only # or HEAD
Group files by area/dependency:
Batch 1: apps/web/app/api/agent/* (3 files)
Batch 2: apps/web/app/(app)/[emailAccountId]/agent/* (related components)
Batch 3: apps/web/utils/actions/* (2 files)Output: Found X files in Y batches
──────────
BEFORE reading any file content, create todo list:
- [ ] Batch 1: API routes (skills, allowed-actions)
- [ ] Batch 2: agent page components (agent-page, chat, tools)
- [ ] Batch 3: server actions (agent.ts, agent.validation.ts)Use todo_write to track batches.
──────────
For each batch:
git diff --cached -- path/to/files)Issue format:
1. **[BUG]** Race condition in concurrent saves — `src/db.ts:45`
2. **[FIX]** Missing error boundary — `src/App.tsx:12`
3. **[CONSIDER]** Extract to custom hook — `src/Form.tsx:34`After each batch:
Batch 1 done: AUTO: 2 fixed | BUG: 1 | FIX: 2──────────
Total: BUG: X | FIX: X | CONSIDER: X (auto-fixed: Y)
Issues:
1. [BUG] ... — `path:line`
2. [FIX] ... — `path:line`
What to fix?
- a) BUG + FIX [recommended]
- b) BUG only
- c) All including CONSIDER
- d) Custom (e.g., "1,3")
I'll assume a) if you don't specify.
Learnings:
- Any patterns worth adding to AGENTS.md?
- Any new review checks to add to this file?STOP. Wait for selection.
──────────
Process fixes batch-by-batch (same grouping):
BUG (Logic/Security):
FIX (Quality):
as any)CONSIDER (Opinions):
bash# Staged git diff --cached git diff --cached --name-only # All uncommitted git diff HEAD git diff HEAD --name-only
| Error | Response | |-------|----------| | No changes | "Check git status or specify files" | | File not found | List available, ask to specify | | Binary files | Skip, mention in summary | | Large file (>10k) | "Review specific sections?" |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | fail→fail | 3,872 | 3,587 | -7% | 1 | 1 | 0% | 534 | 2,158 | +304% | 0 | 0 | — |
case-01 | fail→fail | 3,030 | 5,045 | +67% | 1 | 1 | 0% | 383 | 2,275 | +494% | 0 | 0 | — |
case-02 | fail→fail | 4,262 | 5,044 | +18% | 1 | 1 | 0% | 763 | 2,521 | +230% | 0 | 0 | — |
case-03 | fail→fail | 3,208 | 4,853 | +51% | 1 | 1 | 0% | 337 | 2,301 | +583% | 0 | 0 | — |
case-05 | pass→fail | 16,594 | 4,376 | -74% | 1 | 1 | 0% | 3,274 | 2,273 | -31% | 0 | 0 | — |
case-06 | pass→fail | 6,787 | 5,737 | -15% | 1 | 1 | 0% | 1,363 | 2,152 | +58% | 0 | 0 | — |
case-07 | fail→pass | 13,688 | 6,379 | -53% | 1 | 1 | 0% | 2,153 | 3,165 | +47% | 0 | 0 | — |
case-08 | fail→pass | 16,552 | 4,003 | -76% | 1 | 1 | 0% | 2,602 | 2,715 | +4% | 0 | 0 | — |
case-22 | fail→pass | 13,217 | 2,420 | -82% | 1 | 1 | 0% | 1,944 | 2,342 | +20% | 0 | 0 | — |
case-09 | fail→pass | 14,320 | 4,269 | -70% | 1 | 1 | 0% | 2,296 | 2,620 | +14% | 0 | 0 | — |
case-10 | pass→pass | 9,460 | 2,253 | -76% | 1 | 1 | 0% | 1,441 | 2,342 | +63% | 0 | 0 | — |
case-11 | pass→pass | 7,574 | 2,843 | -62% | 1 | 1 | 0% | 1,202 | 2,439 | +103% | 0 | 0 | — |
case-12 | fail→pass | 11,556 | 2,241 | -81% | 1 | 1 | 0% | 1,845 | 2,276 | +23% | 0 | 0 | — |
case-13 | fail→pass | 21,094 | 2,623 | -88% | 1 | 1 | 0% | 3,742 | 2,328 | -38% | 0 | 0 | — |
case-14 | pass→pass | 9,285 | 2,305 | -75% | 1 | 1 | 0% | 1,418 | 2,353 | +66% | 0 | 0 | — |
case-15 | fail→pass | 11,567 | 1,660 | -86% | 1 | 1 | 0% | 1,684 | 2,219 | +32% | 0 | 0 | — |
case-16 | pass→pass | 8,625 | 2,852 | -67% | 1 | 1 | 0% | 1,603 | 2,491 | +55% | 0 | 0 | — |
case-17 | pass→pass | 7,745 | 1,698 | -78% | 1 | 1 | 0% | 1,154 | 2,256 | +95% | 0 | 0 | — |
case-18 | fail→pass | 10,119 | 1,767 | -83% | 1 | 1 | 0% | 1,913 | 2,277 | +19% | 0 | 0 | — |
case-19 | pass→pass | 11,968 | 3,964 | -67% | 1 | 1 | 0% | 1,871 | 2,534 | +35% | 0 | 0 | — |
case-20 | fail→fail | 15,383 | 3,491 | -77% | 1 | 1 | 0% | 2,289 | 2,573 | +12% | 0 | 0 | — |
case-21 | fail→pass | 8,014 | 2,436 | -70% | 1 | 1 | 0% | 1,350 | 2,347 | +74% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 16 counted toward the lift figure. The other 6 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +32 percentage points is the difference between those two pass rates over the 16 comparable cases. 4 cases got worse with the skill loaded, and they are included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.