Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add multiplex-ai/muggle-ai-teams --skill enterprise-agent-opsgit clone --depth 1 https://github.com/multiplex-ai/muggle-ai-teamsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/enterprise-agent-ops)<a href="https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/enterprise-agent-ops"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/enterprise-agent-ops/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/multiplex-ai/muggle-ai-teams/enterprise-agent-ops"><img src="https://agentmods.dev/badge/skills/multiplex-ai/muggle-ai-teams/enterprise-agent-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.00257 |
| Opus 5.5 | $0.00008 | $0.00103 |
| Sonnet 5.5 | $0.00004 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
enterprise-agent-ops scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to enterprise-agent-ops — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Enterprise Agent Ops
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
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 51 lines · 21 tokens per session scan A 27edc796df2b
enterprise-agent-ops is a skill published in the GitHub repository multiplex-ai/muggle-ai-teams (2 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 257 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to enterprise-agent-ops, differing in 0 lines, and is treated as a copy.
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