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The org runs multiple autonomous agents (dev-lead, compliance-audit, canary-rollout, auto-rebase, feature-ideation) that can silently get stuck — 111 dev-lead issues were stuck from concurrency group cancellations (#402), and multiple issues carry the needs-human label awaiting manual intervention. This proposal creates a standard for agent workload health monitoring with completion rate SLAs, stuck-task detection, and automated escalation when agents cannot complete work.
Market Signal
The agentic CI/CD space is maturing rapidly. GitHub Agentic Workflows (GA 2026) includes built-in guardrails and audit logging via gh aw logs and gh aw audit. The OWASP Top 10 for Agentic Applications (ASI01-ASI10, published Dec 2025) identifies cascading failures (ASI08) and rogue agents (ASI10) as top risks — both manifest as silent workload stalls in practice. Anthropic now offers device verification for remote Claude Code sessions. The industry trend is clear: agent governance must include operational health monitoring, not just security controls.
The org has fleet monitoring for workflows but no equivalent monitoring for agent task queues
Technical Opportunity
The org already has fleet-tracker labels and health-check issues for workflow monitoring. The canary engine emits structured decision telemetry (#683). The compliance-audit runs on a schedule. Extending the fleet-monitor pattern to track agent task completion rate, queue depth, and escalation latency is architecturally consistent. The daily Org Status issue (#751) could include an "Agent Health" section with per-persona metrics.
Assessment
Dimension
Score
Rationale
Feasibility
med
Extends existing fleet-monitor pattern; requires new label queries per persona
Impact
high
Prevents silent agent failure accumulation (111+ stuck issues in #402)
Urgency
med
Pattern is recurring — needs-human issues and canary blockers accumulate weekly
Adversarial Review
Strongest objection: This is operational monitoring, not a feature. Agent issues get stuck because of bugs in the agents themselves (like the concurrency group issue #402) — monitoring won't fix the root causes.
Rebuttal: Monitoring is the prerequisite to fixing. The 111 stuck issues in #402 persisted because no one noticed the pattern until it accumulated. Detection latency directly determines blast radius. This standard doesn't replace bug fixes — it ensures bugs are caught in hours, not weeks. The canary engine demonstrates this principle: decision telemetry (#683) caught promotion failures that would have gone unnoticed without observability.
Suggested Next Step
Define agent health metrics (task completion rate, median time-to-close, needs-human escalation count, stuck-task age threshold) in a standards document. Extend the daily Org Status workflow to include an "Agent Health" section that queries issue labels and age for each agent persona (dev-lead, compliance-audit, canary-rollout).
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Summary
The org runs multiple autonomous agents (dev-lead, compliance-audit, canary-rollout, auto-rebase, feature-ideation) that can silently get stuck — 111 dev-lead issues were stuck from concurrency group cancellations (#402), and multiple issues carry the
needs-humanlabel awaiting manual intervention. This proposal creates a standard for agent workload health monitoring with completion rate SLAs, stuck-task detection, and automated escalation when agents cannot complete work.Market Signal
The agentic CI/CD space is maturing rapidly. GitHub Agentic Workflows (GA 2026) includes built-in guardrails and audit logging via
gh aw logsandgh aw audit. The OWASP Top 10 for Agentic Applications (ASI01-ASI10, published Dec 2025) identifies cascading failures (ASI08) and rogue agents (ASI10) as top risks — both manifest as silent workload stalls in practice. Anthropic now offers device verification for remote Claude Code sessions. The industry trend is clear: agent governance must include operational health monitoring, not just security controls.User Signal
dev-lead: issue-pickup runs cancelled by concurrency group → 111 labeled issues stuck with no PR— this accumulated silentlydev-lead:needs-humanlabel (SonarCloud: GitHub Actions / dependency hardening (×13) #598, Compliance audit — 2026-07-03 #589) indicating agent failureTechnical Opportunity
The org already has fleet-tracker labels and health-check issues for workflow monitoring. The canary engine emits structured decision telemetry (#683). The compliance-audit runs on a schedule. Extending the fleet-monitor pattern to track agent task completion rate, queue depth, and escalation latency is architecturally consistent. The daily Org Status issue (#751) could include an "Agent Health" section with per-persona metrics.
Assessment
Adversarial Review
Strongest objection: This is operational monitoring, not a feature. Agent issues get stuck because of bugs in the agents themselves (like the concurrency group issue #402) — monitoring won't fix the root causes.
Rebuttal: Monitoring is the prerequisite to fixing. The 111 stuck issues in #402 persisted because no one noticed the pattern until it accumulated. Detection latency directly determines blast radius. This standard doesn't replace bug fixes — it ensures bugs are caught in hours, not weeks. The canary engine demonstrates this principle: decision telemetry (#683) caught promotion failures that would have gone unnoticed without observability.
Suggested Next Step
Define agent health metrics (task completion rate, median time-to-close,
needs-humanescalation count, stuck-task age threshold) in a standards document. Extend the daily Org Status workflow to include an "Agent Health" section that queries issue labels and age for each agent persona (dev-lead, compliance-audit, canary-rollout).All reactions