agentops-course

agentops-course is a skill for Claude Code, Codex from MLOps-Courses/agentops-open-course. It costs 73 tokens per session (598 once invoked), scanned A, original, MIT.

An overview of practices for running language-model agents in production, where they handle real traffic and need monitoring, safety controls, reliability, and cost limits.

In plain words
What is it for?
Choosing related skills for telemetry, guardrails, retries and fallbacks, token budgets, and other AgentOps concerns.
Why use it?
It helps teams find the right operational guidance instead of treating a one-time successful response as proof that an agent is ready to run continuously.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/mlops-courses/agentops-open-course/agentops-course
Any agent
npx skills add MLOps-Courses/agentops-open-course --skill agentops-course
Clone the repo
git clone --depth 1 https://github.com/MLOps-Courses/agentops-open-course

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for agentops-course

README.md
[![agentmods](https://agentmods.dev/badge/skills/mlops-courses/agentops-open-course/agentops-course.svg)](https://agentmods.dev/skills/mlops-courses/agentops-open-course/agentops-course)
Your own site
<a href="https://agentmods.dev/skills/mlops-courses/agentops-open-course/agentops-course"><img src="https://agentmods.dev/badge/skills/mlops-courses/agentops-open-course/agentops-course.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 598 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00073 $0.00598
Opus 5 $0.00036 $0.00299
Sonnet 5 $0.00015 $0.00120
Haiku 4.5 $0.00007 $0.00060

Measured 3d ago against content hash eac6822fbaec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentops-course 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 3d 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.

skills/agentops-course/SKILL.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentOps Patterns

Getting an agent to answer correctly once is a demo. AgentOps is keeping it correct, safe, affordable, and observable as it runs against real traffic. These skills are operational patterns extracted from one completed reference agent, each with a file you can read and a repeatable check or evidence path.

When to use

  • You have built an agent and now have to operate it.
  • You want to know which AgentOps skill covers a given concern.
  • You want the worked, open-source reference behind these patterns.

The patterns

Each pattern is a sibling skill, and installing this index alone does not put any of them on disk. They ship from the same package, so add the ones your agent needs by name:

npx skills add MLOps-Courses/agentops-open-course --skill agent-resilience
  1. agentops-telemetry — trace, meter, and log the agent with OpenTelemetry; content off by default.
  2. agent-guardrails — PII redaction, injection spotlighting, human approval on writes, a kill-switch.
  3. agent-resilience — deadlines, bounded retries, a circuit breaker, and a validated model fallback.
  4. agent-token-budget — per-session token ceilings and cost attribution.
  5. agent-least-privilege — split into least-privilege specialists so injection has nothing to call.
  6. agent-evaluation — deterministic validation gates plus model-backed trajectory, grounding, and cost evidence.
  7. agent-incident-response — the detect→triage→mitigate→review→prevent loop for the agent as a workload.

How they fit together

Build and instrument first (telemetry), harden the boundaries (guardrails, least privilege), bound the failure modes (resilience, token budget), collect behavior evidence (evaluation), and operate the running system (incident response) — feeding every real failure back into the smallest repeatable check or evidence path.

The full course

These patterns are distilled from the AgentOps Open Course, which builds, evaluates, secures, deploys, and operates one production-shaped Go agent with Google ADK, agentgateway, kagent, OpenTelemetry, Tempo, Loki, Prometheus, Grafana, and Ollama. Read it at https://agentops-open-course.fmind.dev/; its README.md states the current proof boundaries.

Read the full file on GitHub · 39 lines

Changes

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.

  1. 3d ago First seen · 39 lines · 73 tokens per session scan A eac6822fbaec

Subscribe to this mod's changes

agentops-course is a skill published in the GitHub repository MLOps-Courses/agentops-open-course (2 stars, last pushed 10d ago), licensed MIT. It adds 73 tokens to every session and 598 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 2026-08-31.

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