Enterprise Agent Ops
SkillMonitoring & opsOperate long-lived agent workloads with observability, security boundaries, and lifecycle management.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Enterprise Agent Ops skill
What this skill tells your AI
The instructions your AI receives, as published by mturac/everything-openai-codex in skills/enterprise-agent-ops/SKILL.md and read by ahel’s review.
Use this skill for cloud-hosted or continuously running agent systems that need operational controls beyond single CLI sessions.
Operational Domains
- runtime lifecycle (start, pause, stop, restart)
- observability (logs, metrics, traces)
- safety controls (scopes, permissions, kill switches)
- 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:
- freeze new rollout
- capture representative traces
- isolate failing route
- patch with smallest safe change
- run regression + security checks
- resume gradually
Deployment Integrations
This skill pairs with:
- PM2 workflows
- systemd services
- container orchestrators
- CI/CD gates
Signals
- GitHub stars
- 90
- Forks
- 2
- Last commit
- Aug 2026
ahel recommends instead
Advanced
- Catalog kind
- skill
- Gateway key
enterprise-agent-ops-mturac- Source
- github.com/mturac/everything-openai-codex