Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Worker-Reviewer iterative pipeline for quality-critical code with review cycles
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Defines an iterative Worker→Reviewer pipeline where one agent implements changes and another reviews them. The cycle repeats until quality criteria are met or max iterations reached.
Orchestrator-only — only the main conversation activates this pipeline (R010). Worker and Reviewer are subagents.
| Condition | Activate? |
|---|---|
| Quality-critical code changes (auth, security, payments) | Yes |
| Complex refactoring touching 5+ files | Yes |
| User explicitly requests review cycle | Yes |
| Simple file edits, config changes | No |
| Documentation-only changes | No |
pipeline:
name: feature-review
description: Implement and review a feature
worker:
agent: lang-typescript-expert # or appropriate specialist
model: sonnet
prompt: "Implement the feature based on requirements"
reviewer:
agent: lang-typescript-expert # can be same or different specialist
model: opus # often higher model for review
prompt: "Review implementation for correctness, security, performance"
config:
max_iterations: 3 # Max review cycles (default: 3)
quality_gate: all_pass # all_pass | majority_pass | custom
auto_commit: false # Auto-commit on quality pass (via mgr-gitnerd)
1. Orchestrator activates pipeline
2. Worker agent implements changes
3. Reviewer agent reviews Worker's output
4. Reviewer produces verdict:
- PASS → Pipeline complete, proceed to next step
- FAIL(issues) → Worker receives feedback, re-implements
5. Repeat 3-4 until PASS or max_iterations reached
6. If max_iterations reached without PASS:
- Report partial results to user
- Recommend manual review
Reviewer MUST output a structured verdict:
[Review Verdict]
├── Status: PASS | FAIL
├── Iteration: {n}/{max}
├── Issues Found: {count}
│ ├── [Critical] {description} — {file:line}
│ ├── [Major] {description} — {file:line}
│ └── [Minor] {description} — {file:line}
└── Summary: {one-line}
| Gate | Criteria |
|---|---|
all_pass | Zero Critical or Major issues (default) |
majority_pass | Zero Critical, ≤2 Minor issues allowed |
custom | User-defined in pipeline spec |
When Agent Teams is enabled, the pipeline SHOULD use Agent Teams:
TeamCreate("review-pipeline")
Worker (team member) ←→ Reviewer (team member)
SendMessage for feedback exchange
Shared TaskList for tracking issues
When Agent Teams is NOT available, falls back to sequential Agent tool calls:
Agent(worker) → result → Agent(reviewer) → verdict → Agent(worker) → ...
Before execution, display:
[Worker-Reviewer Pipeline]
├── Max iterations: {max_iterations} (default: 3, hard cap: 5)
├── Quality gate: {pass_threshold}% approval required
└── Early stop: All reviewers approve → stop immediately
[Pipeline] feature-review — Worker: lang-typescript-expert, Reviewer: lang-typescript-expert
[Iteration 1/3] Worker implementing...
[Iteration 1/3] Reviewer reviewing...
[Review] FAIL — 2 issues (1 Major, 1 Minor)
[Iteration 2/3] Worker fixing issues...
[Iteration 2/3] Reviewer re-reviewing...
[Review] PASS — 0 issues
[Pipeline Complete] 2 iterations, quality gate passed
worker: {agent: lang-typescript-expert, model: sonnet}
reviewer: {agent: lang-typescript-expert, model: opus}
config: {max_iterations: 3, quality_gate: all_pass}
worker: {agent: lang-golang-expert, model: sonnet}
reviewer: {agent: be-go-backend-expert, model: opus}
config: {max_iterations: 2, quality_gate: all_pass}
worker: {agent: lang-python-expert, model: sonnet}
reviewer: {agent: lang-python-expert, model: sonnet}
config: {max_iterations: 1, quality_gate: majority_pass}
| Rule | Integration |
|---|---|
| R009 | Worker and Reviewer can run in parallel with other pipelines |
| R010 | Pipeline orchestration runs only in main conversation |
| R015 | Display pipeline plan and review verdicts transparently |
| R018 | Agent Teams preferred when available for Worker↔Reviewer messaging |
| pipeline-guards | Max iterations and timeout enforced by pipeline-guards |
| model-escalation | Worker failures feed into escalation tracking |
| stuck-recovery | Repeated FAIL verdicts trigger stuck detection advisory |
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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