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 magnus919/agent-skills --skill agent-production-operationsgit clone --depth 1 https://github.com/magnus919/agent-skillsWrote 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/magnus919/agent-skills/agent-production-operations)<a href="https://agentmods.dev/skills/magnus919/agent-skills/agent-production-operations"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/agent-production-operations/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/magnus919/agent-skills/agent-production-operations"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/agent-production-operations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 74 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00082 | $0.03380 |
| Opus 5 | $0.00041 | $0.01690 |
| Sonnet 5 | $0.00016 | $0.00676 |
| Haiku 4.5 | $0.00008 | $0.00338 |
Grade A, and why
agent-production-operations 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
agent-production-operations
A runtime control plane for taking an evaluated agent with tools and authority into controlled production operation. This bundle bridges the gap between passing evaluations and safe production use: it defines how an agent is versioned, rolled out, monitored, constrained, escalated, and disabled — and how production evidence feeds back into evaluation and release decisions.
The bundle does not build agents, design evaluations, run release pipelines, or own infrastructure. It composes those concerns from existing specialist skills and owns only the runtime control decisions between them.
When to load this
Load this bundle when you are operating an agent that:
- Has passed evaluation and is cleared for production consideration.
- Has tools with side effects and delegated authority that must be gated.
- Needs a staged rollout with progressive authority expansion.
- Must be monitored for cost, latency, tool health, and authority usage in production.
- Requires a defined fallback, escalation, and disablement path.
- Should feed production traces and incidents back into evaluation cases and release-gate updates.
When not to use
Do not load this bundle for:
- Building or designing an agent from scratch — route to the appropriate framework skill (LangGraph, CrewAI, AutoGen, etc.).
- Designing agent evaluations or observability — route to agent-evals-and-observability.
- General release engineering (CI/CD pipelines, artifact promotion) — route to release-engineering.
- General site reliability engineering (incident response, SLO definition, error budgets) — route to site-reliability-engineering.
- General security engineering (threat modeling, vulnerability assessment) — route to secure-software-engineering.
- General platform infrastructure (compute, networking, storage) — route to platform-engineering.
- Performing a production-readiness review — route to production-readiness; this bundle consumes readiness outcomes, it does not produce them.
- Conducting an incident postmortem — route to incident-learning; this bundle consumes incident records as escalation and feedback inputs.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 268 lines · 82 tokens per session scan A 5eb44374faa6
agent-production-operations is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 3,380 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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