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Pipeline Guards
ASecuritySafety constraints and quality gates for pipeline and workflow execution
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- Added September 12, 2026
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[](https://www.skillsdirectory.com/skills/baekenough-pipeline-guards-second-brain)---
name: pipeline-guards
description: Safety constraints and quality gates for pipeline and workflow execution
scope: core
user-invocable: false
---
# Pipeline Guards Skill
Defines mandatory safety constraints for all pipeline, workflow, and iterative execution within the oh-my-customcode system. Prevents infinite loops, enforces timeouts, and establishes quality gates.
**System-wide** — these guards apply to dag-orchestration, worker-reviewer-pipeline, and any iterative process.
## Guard Limits
| Guard | Default | Hard Cap | Applies To |
|-------|---------|----------|------------|
| Max iterations | 3 | 5 | worker-reviewer-pipeline |
| Max DAG nodes | 20 | 30 | dag-orchestration |
| Max parallel agents | 4 | 5 | R009 (all pipelines) |
| Max parallel steps | 4 | 4 | pipeline parallel blocks |
| Timeout per node | 300s | 600s | dag-orchestration nodes |
| Timeout per pipeline | 900s | 1800s | worker-reviewer-pipeline |
| Max retry count | 2 | 3 | Failure retry strategies |
| Max PR improvement items | 20 | 50 | pr-auto-improve |
| Max auto-improve items | 20 | 50 | omcustom-auto-improve |
| Max files per agent | 10 | 15 | All agent spawns (advisory) |
## Enforcement
Guards are enforced at two levels:
### Level 1: Skill-Level (Soft)
Each skill checks guard limits before execution:
```
Before starting pipeline:
1. Check max_iterations ≤ hard cap
2. Check timeout ≤ hard cap
3. Check node count ≤ hard cap
If any exceeded → warn user, use hard cap value
```
### Level 2: Hook-Level (Hard)
The stuck-detector hook monitors for guard violations:
```
PostToolUse → check:
- Iteration count > max_iterations?
- Elapsed time > timeout?
- Same error repeated > max_retry?
If any → emit advisory to stderr
```
## Quality Gates
### Pipeline Quality Gate
```
[Quality Gate Check]
├── Critical issues: {count} (must be 0)
├── Major issues: {count} (must be ≤ threshold)
├── Minor issues: {count} (informational)
└── Gate: PASS | FAIL
```
### DAG Completion Gate
```
[DAG Completion Gate]
├── Nodes completed: {n}/{total}
├── Nodes failed: {count}
├── Nodes skipped: {count}
└── Gate: PASS | PARTIAL | FAIL
```
## Escalation Integration
When guards are triggered, they integrate with existing advisory systems:
| Event | Action |
|-------|--------|
| Max iterations reached | → stuck-recovery advisory |
| Repeated failures | → model-escalation advisory |
| Timeout approaching (80%) | → warn user, suggest early termination |
| Hard cap hit | → force stop, report to user |
## Task Granularity Guard
Advisory guard for agent task scope. When a single agent is assigned too many files, it becomes a bottleneck in parallel execution.
| Signal | Default | Action |
|--------|---------|--------|
| Files per agent > 10 | Advisory warning | Suggest splitting by layer/domain |
| Files per agent > 15 | Hard warning | Require explicit user override |
Display:
```
[Guard] ⚠ Agent assigned {n} files (> 10) — consider splitting by layer
[Guard] 🛑 Agent assigned {n} files (> 15) — requires explicit override
```
This integrates with R009 Adaptive Parallel Splitting: if a stalled agent is detected AND it was assigned > 10 files, the splitting recommendation is stronger.
## Guard Configuration
Pipelines can override defaults (within hard caps):
```yaml
# In pipeline/workflow spec
guards:
max_iterations: 4 # Override default 3, cannot exceed 5
timeout_per_node: 120 # Override default 300s
timeout_pipeline: 600 # Override default 900s
quality_gate: all_pass # all_pass | majority_pass
```
## Kill Switch
When a pipeline or workflow must be terminated:
```
[Kill Switch] Activated
├── Reason: {max_iterations | timeout | user_request | stuck_detected}
├── Pipeline: {name}
├── Progress: {completed}/{total} steps
├── Preserved state: /tmp/.claude-pipeline-$PPID.json
└── Action: Stopped gracefully, state saved for resume
```
The kill switch:
1. Signals all running agents to complete current operation
2. Does NOT terminate mid-write (waits for current tool call)
3. Saves pipeline state for potential resume
4. Reports final status to user
## State Preservation
On guard-triggered termination:
```json
{
"pipeline": "feature-review",
"terminated_at": "2026-03-07T10:15:00Z",
"reason": "max_iterations_reached",
"completed_iterations": 3,
"last_verdict": "FAIL",
"remaining_issues": [
{"severity": "major", "file": "src/auth.ts", "line": 42, "description": "..."}
],
"worker_last_output": "...",
"resumable": true
}
```
## Display Format
Guard warnings appear inline:
```
[Guard] ⚠ Iteration 3/3 — final attempt
[Guard] ⚠ Timeout 80% (240s/300s) — consider early termination
[Guard] 🛑 Max iterations reached — pipeline stopped
[Guard] 🛑 Hard timeout (600s) — force stop
```
## Integration
| Rule/Skill | Integration |
|------------|-------------|
| R009 | Max parallel agents enforced (hard cap: 5, soft default: 4) |
| R010 | Guards run in orchestrator only |
| R015 | Guard warnings displayed transparently |
| dag-orchestration | Node count and timeout limits |
| worker-reviewer-pipeline | Iteration and pipeline timeout limits |
| pr-auto-improve | Improvement item count limits |
| omcustom-auto-improve | Auto-improve item count limits |
| stuck-recovery | Guard triggers feed into stuck detection |
| model-escalation | Repeated failures trigger escalation advisory |
| task-decomposition | Subtask file counts validated against granularity guard thresholds |
## Checkpoint Gate Integration
각 guard 통과/실패 시 `tracker-checkpoint` 에이전트로 gate state 기록.
### Flow
1. Guard 진입 → tracker-checkpoint에 gate state: running 기록
2. Guard 통과 → tracker-checkpoint에 gate state: passed + metrics 기록
3. Guard 실패 → tracker-checkpoint에 gate state: failed + failure reason freeze
4. 다음 단계는 checkpoint state 참조하여 재개/중단 판단
### Benefits
- 긴 파이프라인에서 guard 지점마다 복원점 확보
- 부분 실패 시 직전 guard 지점부터 재시도 가능 (비용 절감)
- guard metrics 축적으로 품질 추이 관찰 가능
See `.claude/agents/tracker-checkpoint.md` for the tracker spec.
## Override Policy
- Defaults can be overridden in pipeline spec (within hard caps)
- Hard caps can ONLY be changed by modifying this skill file
- User cannot bypass hard caps at runtime
- All overrides are logged and displayed (R015)
## Limitations
- Guards are advisory at skill level, hard at hook level
- Cannot prevent infinite loops in agent reasoning (only tool call patterns)
- State preservation is best-effort (process crash = state loss)
- Resume from saved state requires user confirmation
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