agent-ops-monitoring SKILL.md skillA

agent-ops-monitoring from deciqai/knowledge-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add deciqai/knowledge-skills/agent-ops-monitoring@git:20261025.cb4e537

Pins git:20261025.cb4e537 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
deciqai/knowledge-skills
Path
agent-ops-monitoring/SKILL.md
Versions recorded
1
Latest version
git:20261025.cb4e537, committed Oct 25, 2026
Size
8,443 bytes
Repository stars
13
License
MIT

"Activate when: user says 'how do we watch the agent after launch', 'AI output quality is getting worse', 'inference spend suddenly jumped', 'the agent broke something, how do we roll back', 'we need an AI ops weekly review', or an AI agent is already in production handling real business.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Agent Ops Monitoring

## Overview

An agent that is live without logs, quality metrics or alerts fails quietly. Output quality drifts after a prompt tweak or a vendor model update, spend creeps up, and when something goes wrong nobody can reconstruct what the agent saw, called or said. Most bad outputs are never reported. Customers just leave.

Core mechanism: **log every run → define quality metrics and sample for human review → alert on drift and cost → have incident handling and rollback ready → route risky cases to a human queue → review weekly.** It is site reliability engineering (SRE) practice adapted to systems whose failures are often *plausible-looking* rather than crashes. Google's SRE book frames monitoring as answering "what's broken, and why?". For an LLM agent, "broken" includes a confident wrong answer that returns HTTP 200.

The hardest lesson is that pre-launch checks are not monitoring. Offline evaluations and small A/B tests can all look good while real-world behavior goes wrong. OpenAI's April 2025 GPT-4o rollback is a documented case ([example](examples/openai-gpt-4o-sycophancy-rollback-2025.md)).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add deciqai/knowledge-skills/agent-ops-monitoring@sha256:be813b97912767d6

The line at the top of this page pins the label git:20261025.cb4e537, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ldnwqyywjvxaqktt.svg)](https://markdownregistry.com/a/art_ldnwqyywjvxaqktt)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 25, 2026.

versioncommittedcommitsizeaudit
git:20261025.cb4e537 latest2026-10-25 cb4e537 8,443 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8443 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

deciqai/knowledge-skills · 13 stars · license MIT · pushed 2026-10-25 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ldnwqyywjvxaqktt
GET https://markdownregistry.com/api/v1/resolve?ref=deciqai/knowledge-skills/agent-ops-monitoring
GET https://markdownregistry.com/api/v1/blob/be813b97912767d6d157f1e332184588d8e0b3aed6916deb485d54346bf0505f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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