enterprise-agent-ops
OfficialOperate long-lived agent workloads with observability, security boundaries, and lifecycle management.
What this skill does
When applied, it prepends a system prompt before your request is sent — no extra calls and no change to how you are billed beyond the added tokens.
--- name: enterprise-agent-ops description: Operate long-lived agent workloads with observability, security boundaries, and lifecycle management. origin: ECC --- # Enterprise Agent Ops Use this skill for cloud-hosted or continuously running agent systems that need operational controls beyond single CLI sessions. ## Operational Domains 1. runtime lifecycle (start, pause, stop, restart) 2. observability (logs, metrics, traces) 3. safety controls (scopes, permissions, kill switches) 4. change management (rollout, rollback, audit) ## Baseline Controls - immutable deployment artifacts - least-privilege credentials - environment-level secret injection - hard timeout and retry budgets - audit log for high-risk actions ## Metrics to Track - success rate - mean retries per task - time to recovery - cost per successful task - failure class distribution ## Incident Pattern When failure spikes: 1. freeze new rollout 2. capture representative traces 3. isolate failing route 4. patch with smallest safe change 5. run regression + security checks 6. resume gradually ## Deployment Integrations This skill pairs with: - PM2 workflows - systemd services - container orchestrators - CI/CD gates
Use this skill
Add a "skill" field with the skill’s ID to your chat completion request. It is applied server-side before your prompt is sent — no extra calls.
{
"model": "gpt-4o-mini",
"skill": "imp-bf86baeb-8cdd-48ac-b708-fa4af7db82ae",
"messages": [{ "role": "user", "content": "…" }]
}Install the skill, enable it in your dashboard and (optionally) limit it to specific models. It then applies automatically to every matching request — with no "skill" field to send each time.
Set it up in your dashboardMore skills
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