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Workflow Monitor
ASecurityDetects workflow failures and inefficient patterns then files GitHub issues. Use when a workflow step repeatedly fails or produces inconsistent output.
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- Added February 8, 2026
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npx -y skills add athola/claude-night-market --skill workflow-monitor --agent claude-codeAre you the author of Workflow Monitor?
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[](https://www.skillsdirectory.com/skills/athola-workflow-monitor)---
name: workflow-monitor
description: Detects workflow failures and inefficient patterns then files GitHub issues. Use when a workflow step repeatedly fails or produces inconsistent output.
alwaysApply: false
category: workflow-methodology
tags:
- workflow
- monitoring
- error-detection
- efficiency
- automation
dependencies:
- leyline:git-platform
- imbue:proof-of-work
- sanctum:workflow-improvement
tools: []
usage_patterns:
- error-detection
- efficiency-analysis
- issue-creation
complexity: intermediate
model_hint: standard
estimated_tokens: 2500
modules:
- modules/detection-patterns.md
- modules/issue-templates.md
- modules/efficiency-metrics.md
---
## When NOT To Use
- A one-off failure worth debugging directly (use
`superpowers:systematic-debugging`)
- Rewriting the workflow's assets (use `sanctum:workflow-improvement`)
# Workflow Monitor
Monitor workflow executions for errors and inefficiencies, automatically creating issues on the detected git platform (GitHub/GitLab) for improvements. Check session context for `git_platform:` and use `Skill(leyline:git-platform)` for CLI command mapping.
## Philosophy
Workflows should improve over time. When execution issues occur, capturing them systematically enables continuous improvement. This skill hooks into workflow execution to detect problems and propose fixes.
## Quick Start
### Manual Invocation
```bash
# After a failed workflow
/workflow-monitor --analyze-last
# Monitor a specific workflow execution
/workflow-monitor --session <session-id>
# Analyze efficiency of recent workflows
/workflow-monitor --efficiency-report
```
### Automatic Monitoring (via hooks)
When enabled, workflow-monitor observes execution and flags:
- Command failures (exit codes > 0)
- Timeout events
- Repeated retry patterns
- Context exhaustion
- Inefficient tool usage
## Detection Patterns
### Error Detection
| Pattern | Signal | Severity |
|---------|--------|----------|
| Command failure | Exit code > 0 | High |
| Timeout | Exceeded timeout limit | High |
| Retry loop | Same command >3 times | Medium |
| Context exhaustion | >90% context used | Medium |
| Tool misuse | Wrong tool for task | Low |
### Efficiency Detection
| Pattern | Signal | Threshold |
|---------|--------|-----------|
| Verbose output | >1000 lines from command | 500 lines recommended |
| Redundant reads | Same file read >2 times | 2 reads max |
| Sequential vs parallel | Independent tasks run sequentially | Should parallelize |
| Over-fetching | Read entire file when snippet needed | Use offset/limit |
## Workflow
### Phase 1: Capture (`workflow-monitor:capture-complete`)
1. **Log execution events** - Commands, outputs, timing
2. **Tag anomalies** - Failures, timeouts, inefficiencies
3. **Store evidence** - For reproducibility
### Phase 2: Analyze (`workflow-monitor:analysis-complete`)
1. **Classify issues** - Error type, severity, scope
2. **Identify root cause** - What triggered the issue
3. **Suggest fix** - What would prevent recurrence
### Phase 3: Report (`workflow-monitor:report-generated`)
1. **Generate issue body** - Structured format
2. **Assign labels** - workflow, bug, enhancement
3. **Link evidence** - Command outputs, session info
### Phase 4: Create Issue (`workflow-monitor:issue-created`)
1. **Check for duplicates** - Search existing issues
2. **Create if unique** - Via gh CLI
3. **Link to session** - For traceability
## Issue Template
```markdown
## Background
Detected during workflow execution on [DATE].
**Source:** [workflow name] session [session-id]
## Problem
[Description of the error or inefficiency]
**Evidence:**
```
[Command that failed or was inefficient]
[Output excerpt]
```
## Suggested Fix
[What should change to prevent this]
## Acceptance Criteria
- [ ] [Specific fix criterion]
- [ ] Tests added for new behavior
- [ ] Documentation updated
---
*Created automatically by workflow-monitor*
```
## Configuration
```yaml
# .workflow-monitor.yaml
enabled: true
auto_create_issues: false # Require approval before creating
severity_threshold: "medium" # Only report medium+ severity
efficiency_threshold: 0.7 # Flag workflows below 70% efficiency
detection:
command_failures: true
timeouts: true
retry_loops: true
context_exhaustion: true
tool_misuse: true
efficiency:
verbose_output_limit: 500
max_file_reads: 2
parallel_detection: true
```
## Guardrails
1. **No duplicate issues** - Check existing issues before creating
2. **Approval required** - Unless `auto_create_issues: true`
3. **Evidence required** - Every issue must have reproducible evidence
4. **Rate limiting** - Max 5 issues per session
## Required TodoWrite Items
1. `workflow-monitor:capture-complete`
2. `workflow-monitor:analysis-complete`
3. `workflow-monitor:report-generated`
4. `workflow-monitor:issue-created` (if issue created)
## Integration Points
- **`imbue:proof-of-work`**: Captures execution evidence
- **`sanctum:fix-workflow`**: Implements suggested fixes
- **Hooks**: Can be triggered by session hooks for automatic monitoring
## Output Format
### Efficiency Report
```markdown
## Workflow Efficiency Report
**Session:** [session-id]
**Duration:** 12m 34s
**Efficiency Score:** 0.72 (72%)
### Issues Detected
| Type | Count | Impact |
|------|-------|--------|
| Verbose output | 3 | Medium |
| Redundant reads | 2 | Low |
| Sequential tasks | 1 | Medium |
### Recommendations
1. Use `--quiet` flags for npm/pip commands
2. Cache file contents instead of re-reading
3. Parallelize independent file operations
### Create Issues?
- [ ] Issue 1: Verbose output from npm install
- [ ] Issue 2: Redundant file reads in validation
```
## Related Skills
- `imbue:proof-of-work`: Evidence capture methodology
- `sanctum:fix-workflow`: Workflow improvement command
---
**Status:** Skeleton implementation. Requires:
- Hook integration for automatic monitoring
- Efficiency scoring algorithm
- Duplicate detection logic
## Exit Criteria
- [ ] All 4 TodoWrite phases completed: `capture-complete`,
`analysis-complete`, `report-generated`, and (if an issue is
created) `issue-created`
- [ ] Every issue filed contains reproducible evidence: the exact
command that failed or was inefficient plus an output excerpt
- [ ] Duplicate check run via `gh issue list --search` before
creating any issue; duplicate suppressed and existing issue
URL reported instead
- [ ] No more than 5 issues created per session regardless of
how many anomalies are detected; rate limit enforced
Files in this skill
- SKILL.md
- modules/detection-patterns.md
- modules/efficiency-metrics.md
- modules/issue-templates.md
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