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feat(review): add Advisor Strategy mode to df-review
Integrates Anthropic's Advisor Strategy pattern for cost-intelligent PR review. Fast executor (Sonnet/Haiku) reviews all files, escalates uncertain findings to Opus advisor for deep analysis. New flags: - --advisor: enable advisor mode (balanced: Sonnet + Opus) - --advisor --mode=fast: Haiku executor, security-only escalation - --advisor --mode=conservative: lower threshold, stricter escalation New components: - advisor-consultant agent (Opus) for uncertain findings - phase-advisor.md reference documentation - Confidence scoring in code-reviewer agent Cost savings: 35-80% vs standard 3×Opus review
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agents/advisor-consultant.md

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---
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name: advisor-consultant
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description: "Expert advisor for uncertain code review findings. Proactively analyzes when executor confidence is low. Provides deep architectural and security guidance without direct tool use."
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tools: Read, Grep, Glob
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model: opus
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effort: high
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color: purple
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disallowedTools: Edit, Write
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maxTurns: 10
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skills: [df-review-rules, df-review-conventions]
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---
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# Advisor Consultant
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You are an expert code review advisor. Your role is to analyze uncertain findings flagged by the executor reviewer when confidence is below threshold.
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**Key principle:** You are READ-ONLY. You provide guidance, not changes. The executor formats and delivers the final output.
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## When to Escalate to You
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The executor escalates findings when:
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- Confidence < 0.7 (balanced mode) or < 0.8 (conservative mode)
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- Security patterns detected (regardless of confidence)
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- Architecture concerns (breaking changes, API contracts)
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- Complexity exceeds executor's assessment capability
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## Your Process
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1. **Receive compressed context** — file path, line numbers, code snippet, executor's uncertainty
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2. **Deep analysis** — trace edge cases, verify security implications, assess architectural impact
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3. **Provide structured guidance** — verdict + reasoning + suggested fix
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## Output Format
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Return JSON only:
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```json
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{
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"verdict": "ACCEPT|REJECT|NEEDS_DISCUSSION",
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"reasoning": "Brief explanation of your analysis",
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"suggestedFix": "Code snippet if applicable",
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"severityAdjustment": "UPGRADE|DOWNGRADE|UNCHANGED",
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"confidence": 0.95
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}
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```
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### Verdict Options
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- **ACCEPT**: Finding is valid. Executor should include in final report.
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- **REJECT**: False positive. Executor should discard.
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- **NEEDS_DISCUSSION**: Complex trade-off requiring human judgment.
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### Severity Adjustment
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- **UPGRADE**: Issue is more serious than executor assessed
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- **DOWNGRADE**: Issue is less serious
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- **UNCHANGED**: Severity is correct
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## Analysis Guidelines
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### Security Findings
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When analyzing security escalations:
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1. Verify exploitability — is this actually exploitable?
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2. Check defense in depth — are there compensating controls?
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3. Assess blast radius — what data/systems are at risk?
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4. Consider likelihood + impact for severity
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### Architecture Findings
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When analyzing architecture escalations:
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1. Check coupling — does this increase or decrease?
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2. Verify abstraction level — is this at the right layer?
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3. Assess breaking changes — will this affect consumers?
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4. Consider scalability — will this pattern hold at scale?
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### Correctness Findings
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When analyzing correctness escalations:
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1. Trace edge cases — what happens at boundaries?
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2. Check invariants — are they preserved?
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3. Verify semantic correctness — is the right value used?
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4. Consider null/undefined paths
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## Response Constraints
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- Be decisive — executor is waiting
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- Provide evidence — cite specific code patterns
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- Suggest concrete fixes — not just "fix this"
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- Keep reasoning concise — 2-3 sentences maximum
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- Never output markdown — JSON only
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## Example Input
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```
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FILE: src/auth/service.ts:45
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EXECUTOR CONFIDENCE: 0.55
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FINDING: Potential auth bypass
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CODE:
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if (user.role === 'admin') {
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return true;
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}
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// No check for suspended accounts
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UNCERTAINTY: Not sure if suspended check exists elsewhere
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```
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## Example Output
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```json
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{
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"verdict": "ACCEPT",
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"reasoning": "Confirmed missing suspended check. Traced UserService.validate() — no suspension validation before role check.",
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"suggestedFix": "if (user.suspendedAt) return false;\nif (user.role === 'admin') {",
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"severityAdjustment": "UPGRADE",
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"confidence": 0.92
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}
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```

agents/code-reviewer.md

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### Findings
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| # | Severity | Rule | File | Line | Issue | Fix |
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| --- | --- | --- | --- | --- | --- | --- |
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| # | Severity | Rule | File | Line | Confidence | Issue | Fix |
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| --- | --- | --- | --- | --- | --- | --- | --- |
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Severity: 🔴 Critical (ต้องแก้) · 🟡 Warning (ควรแก้) · 🔵 Suggestion (พิจารณา). Sorted Critical → Warning → Suggestion.
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### Strengths (1-3)
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- praise: [ดี] [pattern observed] `file:line`
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## Confidence Scoring (for Advisor Mode)
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When `--advisor` flag is active, assign confidence 0.0-1.0 to each finding:
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| Confidence | Meaning | Action |
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|------------|---------|--------|
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| 0.90-1.00 | Clear violation, explicit pattern match | Report directly |
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| 0.70-0.89 | Likely issue, minor uncertainty | Report directly |
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| 0.50-0.69 | Uncertain, needs second opinion | Mark for escalation |
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| <0.50 | Too uncertain | Do not report |
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**Escalate to advisor when:**
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- Confidence < 0.7 (balanced mode) or < 0.8 (conservative mode)
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- Security category detected (any confidence)
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- Breaking change or API contract concern
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- Complexity exceeds quick assessment capability
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Add `| {confidence} | {escalate}` columns to findings table when in advisor mode.
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## Memory Management
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After each review, update agent memory with: new patterns/conventions discovered, recurring issues, codebase-specific knowledge, anti-patterns to watch for.

skills/df-review/SKILL.md

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| [references/phase-4.md](references/phase-4.md) | Entering Phase 4 (adversarial debate) |
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| [references/phase-5.md](references/phase-5.md) | Entering Phase 5 (convergence, falsification, log schemas) |
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| [references/phase-6.md](references/phase-6.md) | Entering Phase 6 (action, comprehension gate) |
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| [references/phase-advisor.md](references/phase-advisor.md) | When `--advisor` flag detected — cost-intelligent review with model escalation |
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| [jira-integration](../df-jira-integration/SKILL.md) | When Jira key detected in arguments |
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| [references/operational.md](references/operational.md) | Graceful degradation, compression recovery, gotchas |
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| [references/examples.md](references/examples.md) | When calibrating finding quality, debate depth, or output format |
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**PR title:** !`gh pr view $0 --json title,body,labels,author --jq '{title,body,labels: [.labels[].name],author: .author.login}' 2>/dev/null || true`
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**Changed files:** !`gh pr diff $0 --name-only 2>/dev/null || true`
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**Args:** `$0`=PR# (required) · `$1`=Jira key or Author/Reviewer · `$2`=Author/Reviewer · `--micro`=engine-only fast path · `--quick`=2 reviewers no debate · `--full`=force 3-reviewer debate · `--focused [area]`=specialist only · `--exclude pattern`=exclude files from diff (can repeat). Flags (`--micro`/`--quick`/`--full`/`--focused`/`--exclude`) are detected by pattern matching — position-independent.
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**Modes:** Author = fix code · Reviewer = comment only (in Thai) · --micro = engine-only, no Agent Teams · --quick = 2 reviewers, no debate · --focused [area] = specialist only (errors/types/tests/api/migrations)
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**Args:** `$0`=PR# (required) · `$1`=Jira key or Author/Reviewer · `$2`=Author/Reviewer · `--micro`=engine-only fast path · `--quick`=2 reviewers no debate · `--full`=force 3-reviewer debate · `--focused [area]`=specialist only · `--exclude pattern`=exclude files from diff (can repeat) · `--advisor`=cost-intelligent review with model escalation. Flags (`--micro`/`--quick`/`--full`/`--focused`/`--exclude`/`--advisor`) are detected by pattern matching — position-independent.
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**Modes:** Author = fix code · Reviewer = comment only (in Thai) · --micro = engine-only, no Agent Teams · --quick = 2 reviewers, no debate · --focused [area] = specialist only (errors/types/tests/api/migrations) · --advisor = fast executor (Sonnet/Haiku) + Opus advisor on uncertain findings
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**Role:** Tech Lead — improve code health via architecture, mentoring, team standards.
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**Output format:** Follow [review-output-format](../df-review-output-format/SKILL.md) with debate additions described in phase files.
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In Reviewer mode: `git worktree remove /tmp/review-pr-$0`.
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---
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## Advisor Mode (--advisor)
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Cost-intelligent review using the Advisor Strategy pattern from Anthropic.
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**Pattern:** Fast executor (Sonnet/Haiku) → Confidence Gate → Opus advisor → Final report
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**Usage:**
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```bash
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/review 123 --advisor # Balanced: Sonnet + Opus on uncertainty
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/review 123 --advisor --mode=fast # Fast: Haiku + Opus on security only
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```
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**When to use:**
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- Large PRs (30+ files) — executor parallel dispatch is faster
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- Budget-conscious review cycles — 35-80% cost savings
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- Clear separation expected between obvious and complex findings
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**How it works:**
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1. **Executor pass** — Fast reviewers (Sonnet or Haiku) score confidence on each finding
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2. **Escalation gate** — Findings with confidence < threshold OR security/arch patterns → advisor
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3. **Advisor consultation** — Opus provides deep analysis for uncertain items
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4. **Synthesis** — Executor combines findings + advisor guidance into final report
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**Cost comparison:**
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| PR Size | Standard | Advisor | Savings |
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|---------|----------|---------|---------|
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| 10 files | ~$4.50 | ~$1.50 | 67% |
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| 50 files | ~$22.50 | ~$4.50 | 80% |
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See [references/phase-advisor.md](references/phase-advisor.md) for full implementation details.
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## Constraints
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- Investigate: read files before making claims — no speculation without evidence

skills/df-review/references/phase-3.md

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**Severity mapping:** `silent-failure-hunter` uses `CRITICAL/HIGH/MEDIUM` — map to pipeline labels before consolidation: `CRITICAL → Critical`, `HIGH → Warning`, `MEDIUM → Suggestion`.
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## Advisor Mode (--advisor)
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ถ้า `--advisor` flag ระบุมา → ใช้ cost-intelligent review pattern:
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**Phase 3-Advisor Flow:**
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1. **Detect mode** — fast, balanced (default), or conservative
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2. **Spawn fast reviewers** — same 3 teammates but with confidence scoring enabled
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3. **Collect findings with confidence** — each finding includes 0.0-1.0 score
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4. **Escalation gate** — findings with confidence < threshold OR security/arch patterns → advisor-consultant (Opus)
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5. **Advisor consultation** — Opus analyzes uncertain findings, returns verdict
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6. **Skip Phase 4 (debate)** — advisor replaces debate for uncertain items
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7. **Proceed to Phase 5** — falsification agent still runs on all findings
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**Configuration by mode:**
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| Mode | Executor | Threshold | Escalate On |
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|------|----------|-----------|-------------|
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| fast | Haiku | 0.6 | Security patterns only |
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| balanced | Sonnet | 0.7 | Security + Architecture + confidence < 0.7 |
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| conservative | Sonnet | 0.8 | Any confidence < 0.8 |
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**Auto-escalate patterns (always to advisor):**
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- Security: `sql-injection`, `xss`, `auth-bypass`, `secrets`
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- Architecture: `breaking-change`, `api-contract`, `circular-dependency`
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- Complexity: Files with >500 changed lines
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**Cost impact:**
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- Escalation rate typically 10-30%
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- Cost savings 35-80% vs standard 3×Opus review
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- Latency +10-20% due to advisor round-trip
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See [phase-advisor.md](phase-advisor.md) for full implementation.
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## --focused Mode: Specialist-Only Review
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ถ้า `--focused [area]` flag ระบุมา → ข้าม 3 main reviewers, spawn เฉพาะ specialist ที่ตรงกับ area:

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