OR

orchestrate-review

A systematic review tool that performs multi-pass audits on code for security, quality, and coverage.

Install

mkdir -p .claude/skills/orchestrate-review && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6218" && unzip -o skill.zip -d .claude/skills/orchestrate-review && rm skill.zip

Installs to .claude/skills/orchestrate-review

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Use when user asks to \"deep review the code\", \"thorough code review\", \"multi-pass review\", or when orchestrating the Phase 9 review loop. Provides review pass definitions (code quality, security, performance, test coverage), signal detection patterns, and iteration algorithms.
283 chars✓ has a “when” triggerlonger than Claude Code's old 250-char listing cap (fine on current versions)
Advanced

Key capabilities

  • Orchestrate multi-pass code reviews
  • Detect signals for database, API, and frontend changes
  • Aggregate findings by severity
  • Iterate through fixes until clean
  • Perform stall detection during review loops

How it works

The skill spawns parallel task agents to perform specific review passes based on detected file signals. It then aggregates findings, applies fixes via the Edit tool, and iterates until the code is clean or a stall is detected.

Inputs & outputs

You give it
User request for deep code review
You get back
Aggregated JSON report of findings and applied fixes

When to use orchestrate-review

  • Perform deep code security analysis
  • Review code for performance bottlenecks
  • Check test coverage and quality standards
  • Verify multi-pass architectural compliance

About this skill

Orchestrate Review

Multi-pass code review with parallel Task agents, finding aggregation, and iteration until clean.

Scope-Based Specialist Selection

Select conditional specialists based on the review scope:

  • User request: Detect signals from content user refers to (files, directory, module)
  • Workflow (Phase 9): Detect signals from changed files only
  • Project audit: Detect signals from project structure as a whole

Review Passes

Spawn parallel general-purpose Task agents (model: sonnet), one per pass:

Core (Always)

const corePasses = [
  { id: 'code-quality', role: 'code quality reviewer',
    focus: ['Style and consistency', 'Best practices', 'Bugs and logic errors', 'Error handling', 'Maintainability', 'Duplication'] },
  { id: 'security', role: 'security reviewer',
    focus: ['Auth/authz flaws', 'Input validation', 'Injection risks', 'Secrets exposure', 'Insecure defaults'] },
  { id: 'performance', role: 'performance reviewer',
    focus: ['N+1 queries', 'Blocking operations', 'Hot path inefficiencies', 'Memory leaks'] },
  { id: 'test-coverage', role: 'test coverage reviewer',
    focus: ['Missing tests', 'Edge case coverage', 'Test quality', 'Integration needs', 'Mock appropriateness'] }
];

Conditional (Signal-Based)

if (signals.hasDb) passes.push({ id: 'database', role: 'database specialist',
  focus: ['Query performance', 'Indexes/transactions', 'Migration safety', 'Data integrity'] });
if (signals.needsArchitecture) passes.push({ id: 'architecture', role: 'architecture reviewer',
  focus: ['Module boundaries', 'Dependency direction', 'Cross-layer coupling', 'Pattern consistency'] });
if (signals.hasApi) passes.push({ id: 'api', role: 'api designer',
  focus: ['REST conventions', 'Error/status consistency', 'Pagination/filters', 'Versioning'] });
if (signals.hasFrontend) passes.push({ id: 'frontend', role: 'frontend specialist',
  focus: ['Component boundaries', 'State management', 'Accessibility', 'Render performance'] });
if (signals.hasBackend) passes.push({ id: 'backend', role: 'backend specialist',
  focus: ['Service boundaries', 'Domain logic', 'Concurrency/idempotency', 'Background job safety'] });
if (signals.hasDevops) passes.push({ id: 'devops', role: 'devops reviewer',
  focus: ['CI/CD safety', 'Secrets handling', 'Build/test pipelines', 'Deploy config'] });

Signal Detection

const signals = {
  hasDb: files.some(f => /(db|migrations?|schema|prisma|typeorm|sql)/i.test(f)),
  hasApi: files.some(f => /(api|routes?|controllers?|handlers?)/i.test(f)),
  hasFrontend: files.some(f => /\.(tsx|jsx|vue|svelte)$/.test(f)),
  hasBackend: files.some(f => /(server|backend|services?|domain)/i.test(f)),
  hasDevops: files.some(f => /(\.github\/workflows|Dockerfile|k8s|terraform)/i.test(f)),
  needsArchitecture: files.length > 20  // 20+ files typically indicates cross-module changes
};

Task Prompt Template

You are a ${pass.role}. Review these changed files:
${files.join('\n')}

Focus: ${pass.focus.map(f => `- ${f}`).join('\n')}

Return JSON:
{
  "pass": "${pass.id}",
  "findings": [{
    "file": "path.ts",
    "line": 42,
    "severity": "critical|high|medium|low",
    "description": "Issue",
    "suggestion": "Fix",
    "confidence": "high|medium|low",
    "falsePositive": false
  }]
}

Example findings (diverse passes and severities):

// Security - high severity
{ "file": "src/auth/login.ts", "line": 89, "severity": "high",
  "description": "Password comparison uses timing-vulnerable string equality",
  "suggestion": "Use crypto.timingSafeEqual() instead of ===",
  "confidence": "high", "falsePositive": false }

// Code quality - medium severity
{ "file": "src/utils/helpers.ts", "line": 45, "severity": "medium",
  "description": "Duplicated validation logic exists in src/api/validators.ts:23",
  "suggestion": "Extract to shared lib/validation.ts",
  "confidence": "high", "falsePositive": false }

// Performance - low severity
{ "file": "src/config.ts", "line": 12, "severity": "low",
  "description": "Magic number 3600 should be named constant",
  "suggestion": "const CACHE_TTL_SECONDS = 3600;",
  "confidence": "medium", "falsePositive": false }

// False positive example
{ "file": "src/crypto/hash.ts", "line": 78, "severity": "high",
  "description": "Non-constant time comparison",
  "suggestion": "N/A - intentional for non-secret data",
  "confidence": "low", "falsePositive": true }

Report all issues with confidence >= medium. Empty findings array if clean.

Aggregation

function aggregateFindings(results) {
  const items = [];
  for (const {pass, findings = []} of results) {
    for (const f of findings) {
      items.push({
        id: `${pass}:${f.file}:${f.line}:${f.description}`,
        pass, ...f,
        status: f.falsePositive ? 'false-positive' : 'open'
      });
    }
  }

  // Deduplicate by id
  const deduped = [...new Map(items.map(i => [i.id, i])).values()];

  // Group by severity
  const bySeverity = {critical: [], high: [], medium: [], low: []};
  deduped.forEach(i => !i.falsePositive && bySeverity[i.severity || 'low'].push(i));

  const totals = Object.fromEntries(Object.entries(bySeverity).map(([k, v]) => [k, v.length]));

  return {
    items: deduped,
    bySeverity,
    totals,
    openCount: Object.values(totals).reduce((a, b) => a + b, 0)
  };
}

Iteration Loop

Security Note: Fixes are applied by the orchestrator using standard Edit tool permissions. Critical/high severity findings should be reviewed before applying - do not blindly apply LLM-suggested fixes to security-sensitive code. The orchestrator validates each fix against the original issue.

// 5 iterations balances thoroughness vs cost; 1 stall (2 consecutive identical-hash iterations) indicates fixes aren't progressing
const MAX_ITERATIONS = 5, MAX_STALLS = 1;
let iteration = 1, stallCount = 0, lastHash = null;

while (iteration <= MAX_ITERATIONS) {
  // 1. Spawn parallel Task agents
  const results = await Promise.all(passes.map(pass => Task({
    subagent_type: 'general-purpose',
    model: 'sonnet',
    prompt: /* see template above */
  })));

  // 2. Aggregate findings
  const findings = aggregateFindings(results);

  // 3. Check if done
  if (findings.openCount === 0) {
    workflowState.completePhase({ approved: true, iterations: iteration });
    break;
  }

  // 4. Fix issues (severity order: critical → high → medium → low)
  // Orchestrator reviews each suggestion before applying via Edit tool
  for (const issue of [...findings.bySeverity.critical, ...findings.bySeverity.high,
                          ...findings.bySeverity.medium, ...findings.bySeverity.low]) {
    if (!issue.falsePositive) {
      // Read file, locate issue.line, validate suggestion, apply via Edit tool
      // For complex fixes, use simple-fixer agent pattern
    }
  }

  // 5. Commit
  exec(`git add . && git commit -m "fix: review feedback (iteration ${iteration})"`);

  // 6. Post-iteration deslop
  Task({ subagent_type: 'deslop-agent', model: 'sonnet' });

  // 7. Stall detection
  const hash = crypto.createHash('sha256')
    .update(JSON.stringify(findings.items.filter(i => !i.falsePositive)))
    .digest('hex');
  stallCount = hash === lastHash ? stallCount + 1 : 0;
  lastHash = hash;

  // 8. Check limits
  if (stallCount >= MAX_STALLS || iteration >= MAX_ITERATIONS) {
    const reason = stallCount >= MAX_STALLS ? 'stall-detected' : 'iteration-limit';
    console.log(`[BLOCKED] Review loop ended: ${reason}. Remaining: ${JSON.stringify(findings.totals)}`);
    // Ask the user before advancing - do not silently proceed to delivery-validation
    const question = `Review loop blocked (${reason}). Open issues remain. How should we proceed?`;
    const response = AskUserQuestion({
      questions: [{
        question,
        header: 'Review Blocked',
        multiSelect: false,
        options: [
          { label: 'Override and proceed', description: 'Advance to delivery-validation with unresolved issues (risky)' },
          { label: 'Abort workflow', description: 'Stop here; open issues must be fixed manually' }
        ]
      }]
    });
    // AskUserQuestion returns { answers: { [questionText]: selectedLabel } }
    const choice = response.answers?.[question] ?? response[question];
    if (choice === 'Override and proceed') {
      workflowState.completePhase({
        approved: false, blocked: true, overridden: true,
        reason, remaining: findings.totals
      });
    } else {
      workflowState.failPhase(`Review blocked: ${reason}. ${JSON.stringify(findings.totals)} issues remain.`);
    }
    break;
  }

  iteration++;
}

Review Queue

Store state at {stateDir}/review-queue-{timestamp}.json:

{
  "status": "open|resolved|blocked",
  "scope": { "type": "diff", "files": ["..."] },
  "passes": ["code-quality", "security"],
  "items": [],
  "iteration": 0,
  "stallCount": 0
}

Delete when approved. Keep when blocked for orchestrator inspection.

Cross-Platform Compatibility

This skill uses Task({ subagent_type: ... }) which is Claude Code syntax. For other platforms:

PlatformEquivalent Syntax
Claude CodeTask({ subagent_type: 'general-purpose', model: 'sonnet', prompt: ... })
OpenCodespawn_agent({ type: 'general-purpose', model: 'sonnet', prompt: ... })
Codex CLI$agent general-purpose --model sonnet --prompt "..."

The aggregation and iteration logic remains the same across platforms - only the agent spawning syntax differs.

When not to use it

  • When the user has not requested a deep or multi-pass review

Prerequisites

Claude Code or compatible CLI environment

Limitations

  • Maximum of 5 iterations per review loop
  • Stalls after 1 consecutive identical-hash iteration
  • Requires manual intervention for critical or high-severity security fixes

How it compares

Unlike manual review, this skill automates the entire loop of detection, aggregation, fix application, and verification across multiple specialized domains.

Compared to similar skills

orchestrate-review side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
orchestrate-review (this skill)15moReviewAdvanced
github-code-review132moReviewAdvanced
reviewing-nextjs-16-patterns118moReviewIntermediate
agent-code-analyzer36moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

Search skills

Search the agent skills registry