List Workflow Execution History

Overview

This skill helps you view the execution history of workflows. Use it to find failed runs, identify workflow IDs for debugging, and review past executions.

When to Use This Skill

• Finding recent failed workflow runs
• Getting a workflow ID for debugging
• Reviewing execution history for a specific workflow
• Investigating when a problem started occurring
• Checking the status of recent executions

Instructions

List All Recent Runs

npx output workflow runs list

By default, this shows the 100 most recent workflow executions across all workflow types.

Available Flags

Flag	Description	Default
--limit <n>	Number of runs to display	100
--format <type>	Output format: table, json, text	table

Filter by Workflow Name

npx output workflow runs list <workflowName>

This shows only runs for the specified workflow type.

Get Detailed JSON Output

npx output workflow runs list --format json

Use JSON format for programmatic analysis or when you need full details.

Understanding the Output

Status Values

Status	Meaning	Action
RUNNING	Workflow is currently executing	Wait or monitor
COMPLETED	Workflow finished successfully	No action needed
FAILED	Workflow encountered an error	Debug with trace
TERMINATED	Workflow was manually stopped	Review if expected
TIMED_OUT	Workflow exceeded time limit	Check for long operations

Key Fields

When viewing runs, pay attention to:

• Workflow ID: Unique identifier needed for debugging commands
• Status: Current execution state
• Start Time: When the execution began
• End Time: When the execution completed (if finished)
• Workflow Name: The type of workflow that ran

Examples

Scenario: Find failed workflow runs

# List recent runs and look for FAILED status
npx output workflow runs list --limit 20

# Or use JSON format with jq to filter
npx output workflow runs list --format json | jq '.[] | select(.status == "FAILED")'

Scenario: Get workflow ID for debugging

# List runs for a specific workflow
npx output workflow runs list my-workflow --limit 5

# Note the workflow ID from the output (e.g., "abc123xyz")
# Then debug it
npx output workflow debug abc123xyz --format json

Scenario: Review recent activity for a specific workflow

# See the last 10 runs of the data-pipeline workflow
npx output workflow runs list data-pipeline --limit 10

Scenario: Export run history for analysis

# Get all recent runs as JSON for external analysis
npx output workflow runs list --format json > workflow-runs.json

Scenario: Find when failures started

# Look at more history to find patterns
npx output workflow runs list --limit 50 --format json | jq 'group_by(.status) | map({status: .[0].status, count: length})'

Identifying Problems

Signs of Issues

1. Multiple FAILED runs: Indicates a persistent bug
2. Mix of COMPLETED and FAILED: Could be input-dependent issues
3. All recent runs TERMINATED: Someone may be stopping workflows
4. Long RUNNING times: Possible hang or performance issue

Next Steps After Finding a Failed Run

1. Copy the workflow ID from the run
2. Get the execution trace: npx output workflow debug <workflowId> --format json
3. Analyze the trace to identify the failure
4. Apply the appropriate fix based on the error pattern

Related Commands

• npx output workflow debug <id> - Analyze execution trace
• npx output workflow status <id> - Check current status
• npx output workflow result <id> - Get execution result
• npx output workflow list - List available workflows