Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Parallel code verification using multiple models with severity classification
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Parallel code verification using multiple AI models for comprehensive quality assurance. Each model focuses on a different aspect, and results are aggregated with severity classification.
Inspired by Pi Coding Agent Workflow Extension's multi-model verification pattern. Instead of a single reviewer, multiple models verify code simultaneously, each with specialized focus areas.
| Model | Role | Focus Areas |
|---|---|---|
opus | Architecture Reviewer | Design patterns, separation of concerns, extensibility, security architecture |
sonnet | Code Quality Reviewer | Logic correctness, error handling, edge cases, performance patterns |
haiku | Style & Convention Reviewer | Naming conventions, formatting, documentation, code organization |
| Severity | Description | Action Required |
|---|---|---|
| CRITICAL | Bugs, security vulnerabilities, data loss risks | Must fix before merge |
| WARNING | Code smells, suboptimal patterns, missing error handling | Should fix, justify if skipped |
| INFO | Style suggestions, minor improvements, alternative approaches | Optional improvement |
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1) for full parallel executionAgent(opus) → Architecture & design reviewAgent(sonnet) → Code quality & correctness reviewAgent(haiku) → Style & convention reviewWhen Agent Teams is available, create a verification team:
TeamCreate("verification-team")
├── architect-reviewer (opus) → Architecture review
├── quality-reviewer (sonnet) → Code quality review
└── style-reviewer (haiku) → Style review
Members communicate findings via SendMessage for cross-cutting concerns.
When Agent Teams is unavailable, spawn parallel agents:
[1] Agent(general-purpose):opus → Architecture review
[2] Agent(general-purpose):sonnet → Code quality review
[3] Agent(general-purpose):haiku → Style & convention review
## Multi-Model Verification Report
### Summary
- Files reviewed: {count}
- Findings: {critical} CRITICAL, {warning} WARNING, {info} INFO
- Reviewers: opus (architecture), sonnet (quality), haiku (style)
### CRITICAL
[opus] {file}:{line} — {description}
[sonnet] {file}:{line} — {description}
### WARNING
[sonnet] {file}:{line} — {description}
[haiku] {file}:{line} — {description}
### INFO
[haiku] {file}:{line} — {description}
### Consensus
Issues flagged by 2+ reviewers:
- {file}:{line} — {description} (flagged by: opus, sonnet)
dev-review skill as an enhanced verification modestructured-dev-cycle skill at the "Verify Implementation" stage| Parameter | Default | Description |
|---|---|---|
models | [opus, sonnet, haiku] | Models to use for verification |
severity_filter | all | Minimum severity to report (critical, warning, all) |
consensus_threshold | 2 | Number of reviewers needed for consensus flag |
include_suggestions | true | Include INFO-level suggestions |
| Scenario | Recommended |
|---|---|
| Pre-merge review of critical code | Yes |
| Architecture changes | Yes |
| Security-sensitive code | Yes |
| Simple formatting changes | No (use single reviewer) |
| Rapid prototyping | No (overhead too high) |
Multi-model verification uses 3x the tokens of a single review. Reserve for:
When spawning agents via the Agent tool during this skill's execution, always pass mode: "bypassPermissions". The Agent tool default (acceptEdits) overrides agent frontmatter permissionMode, causing permission prompts during unattended execution.
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Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
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Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation
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Apache Airflow best practices for DAG authoring, testing, and production deployment
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Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
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Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
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