[safe-output-health] Safe Output Health Report - 2026-05-04

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Executive Summary

All safe output jobs executed without errors in the last 24 hours. 16 safe output tool calls were processed across 5 workflow runs, resulting in 9 GitHub entities created (3 discussions, 3 issues, 3 uploaded assets) plus 6 additional interactions (agent assignments and comments). No safe output server errors, job failures, or API errors were detected.

One workflow run (Step Name Alignment) had a failure conclusion, but this was an agent-level failure caused by a cache memory miss — the safe output MCP server itself performed correctly, and the missing_data signal was properly emitted.

Safe Output Job Statistics

Job Type	Total Executions	Failures	Success Rate
create_discussion	3	0	100%
create_issue	3	0	100%
upload_asset	3	0	100%
assign_to_agent	3	0	100%
add_comment	3	0	100%
missing_data	1	0	100%
Total	16	0	100%

Runs Analyzed

Run	Workflow	Engine	Conclusion	Safe Outputs
§25301640113	Copilot CLI Deep Research Agent	copilot	✅ success	create_discussion → #30063
§25301644786	Sergo - Serena Go Expert	copilot	✅ success	create_issue × 3, create_discussion → #30068
§25301690479	Documentation Noob Tester	copilot	✅ success	upload_asset × 3, create_discussion → #30064
§25301975942	Step Name Alignment	claude	❌ failure1	missing_data (cache_memory_miss)
§25302385598	Issue Monster	copilot	✅ success	assign_to_agent × 3, add_comment × 3

1 Agent-level failure; safe output server was healthy.

Error Clusters

No error clusters identified. Zero safe output job failures.

Root Cause Analysis

No API, Parsing, Validation, or Permission Errors Found

All safe output MCP server logs (mcp-logs/safeoutputs/server.log) across every run show:

• Clean module initialization
• Successful HTTP server startup on port 3001
• All tools/call handler invocations returned without errors
• DIFC write-sink guard correctly configured with accept: ["*"] policy

Technical Health Indicators (All Green)

• Server startup: All 5 servers initialized in < 10ms with all modules loaded successfully
• Tool registration: Between 5–7 tools registered per run (matching workflow configuration)
• DIFC guard: write-sink guard with accept=* pattern correctly initialized and operational across all runs
• Port binding: No port conflicts or binding failures on port 3001
• MCP transport: Stateless HTTP transport mode confirmed working

Notable Observation: Step Name Alignment Cache Miss

Details: Cache Memory Miss (not a safe output failure)

Run: §25301975942 — Step Name Alignment
Engine: Claude
Conclusion: failure
Safe Output Action: missing_data with data_type: "cache_memory", reason: "cache_memory_miss"

The agent expected to find prior data in cache memory but found none (first run with no prior history). The missing_data tool was correctly called — this is the designed fallback behavior. The safe output MCP server handled this call successfully (handler returned without error).

The run failure was at the agent job level, not the safe output job level. This is out of scope for this monitor (agent failures are tracked separately).

Implication: As cache memory is populated by successive runs, future Step Name Alignment runs should be able to access prior data and complete successfully.

Recommendations

No immediate actions required based on today's audit.

Process Improvements (Low Priority)

1. Track missing_data calls as a leading indicator: A missing_data call followed by workflow failure suggests the workflow depends on cache data that isn't yet populated. Consider alerting on workflows where missing_data + failure_conclusion recur across multiple consecutive days.

2. Add safe output execution confirmation for assign_to_agent and add_comment: The Issue Monster run (25302385598) was captured mid-execution, and its safe-outputs-items.jsonl wasn't yet available. Consider ensuring the monitoring tool waits for run completion before capturing artifacts.

Historical Context

This is the first audit run for the Safe Output Health Monitor. No historical data is available for trend comparison. This baseline will be used for comparison in future daily audits stored in cache memory at /tmp/gh-aw/cache-memory/safe-output-health/.

Metrics and KPIs

• Overall Safe Output Success Rate: 100% (16/16 calls executed without error)
• Most Reliable Job Types: All (100% success across all job types)
• Most Problematic Job Type: None (zero failures)
• Workflow Runs Audited: 5
• Distinct Workflows Active: 5
• GitHub Entities Created: 9 (3 discussions, 3 issues, 3 uploaded assets)

Next Steps

• Monitor Step Name Alignment for recurring cache_memory_miss in future runs
• Establish baseline metrics for tomorrow's comparison
• Continue daily monitoring to build historical trend data

References:

• §25301690479 — Documentation Noob Tester
• §25301975942 — Step Name Alignment (failed)
• §25302428580 — Safe Output Health Monitor (this run)

Generated by Safe Output Health Monitor · ● 551.4K · ◷

• expires on May 5, 2026, 5:28 AM UTC

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This discussion was automatically closed because it expired on 2026-05-05T05:28:50.246Z.

Closed by Workflow