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πŸ¦€ ClawHub

Nm Imbue Workflow Monitor

by @athola

Detects workflow failures and inefficient patterns then files GitHub issues

Versionv1.9.16
Downloads1,218
TERMINAL
clawhub install nm-imbue-workflow-monitor

πŸ“– About This Skill


name: workflow-monitor description: | Detect workflow failures and inefficient patterns, then create GitHub issues for improvement via /fix-workflow version: 1.9.4 triggers: - workflow - monitoring - error-detection - efficiency - automation metadata: {"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/imbue", "emoji": "\ud83e\udd9e", "requires": {"config": ["night-market.leyline:git-platform", "night-market.imbue:proof-of-work", "night-market.sanctum:fix-workflow"]}}} source: claude-night-market source_plugin: imbue

> Night Market Skill β€” ported from claude-night-market/imbue. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

Table of Contents

  • Philosophy
  • Quick Start
  • Detection Patterns
  • Workflow
  • Issue Template
  • Configuration
  • Guardrails
  • Integration Points
  • Output Format
  • 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

    # After a failed workflow
    /workflow-monitor --analyze-last

    Monitor a specific workflow execution

    /workflow-monitor --session

    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

    ## 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

    # .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

    ## 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
  • imbue:proof-of-work: Validation methodology

  • Status: Skeleton implementation. Requires:

  • Hook integration for automatic monitoring
  • Efficiency scoring algorithm
  • Duplicate detection logic
  • πŸ’‘ Examples

    Manual Invocation

    # After a failed workflow
    /workflow-monitor --analyze-last

    Monitor a specific workflow execution

    /workflow-monitor --session

    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
  • βš™οΈ Configuration

    # .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