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super-ai-ml-ops

super-ai-ml-ops is a skill for Codex from arpitexplores/skills-super. It costs 29 tokens per session (377 once invoked), scanned A, original, MIT.

A set of instructions for running AI and machine-learning systems in production, where they need to be measured, monitored, and kept reliable. It covers evaluation, monitoring, costs, and release procedures.

In plain words
What is it for?
Use it to plan model evaluations, monitoring and alerts, caching, cost controls, prompt or model releases, rollbacks, and quality checks.
Why use it?
It helps teams detect quality, speed, error, and cost problems before they become ongoing production issues.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 2repo 6mo ago A scan 29 tokens original MIT

Good fit Use it to plan model evaluations, monitoring and alerts, caching, cost controls, prompt or model releases, rollbacks, and quality checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arpitexplores/skills-super/super-ai-ml-ops
View source ↗ arpitexplores/skills-super
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.

Any agent
npx skills add arpitexplores/skills-super --skill super-ai-ml-ops
Clone the repo
git clone --depth 1 https://github.com/arpitexplores/skills-super

Made for: 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 super-ai-ml-ops

README.md
[![agentmods](https://agentmods.dev/badge/skills/arpitexplores/skills-super/super-ai-ml-ops/github.svg)](https://agentmods.dev/skills/arpitexplores/skills-super/super-ai-ml-ops)
Your own site
<a href="https://agentmods.dev/skills/arpitexplores/skills-super/super-ai-ml-ops"><img src="https://agentmods.dev/badge/skills/arpitexplores/skills-super/super-ai-ml-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.

agentmods 80×15 button for super-ai-ml-ops

Your own site · 80×15
<a href="https://agentmods.dev/skills/arpitexplores/skills-super/super-ai-ml-ops"><img src="https://agentmods.dev/badge/skills/arpitexplores/skills-super/super-ai-ml-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 377 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00029 $0.00377
Opus 5.5 $0.00012 $0.00151
Sonnet 5.5 $0.00006 $0.00075
Haiku 4.5 $0.00003 $0.00038

Measured 2mo ago against content hash ed2d5149ca42, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

super-ai-ml-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 2mo 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.

super-ai-ml-ops/SKILL.md · 55 lines

What it actually says

Super AI/ML Ops

Overview

Make AI systems stable and measurable in production.

User Intent Examples

  • "Need help with LLM Evaluation for my product/site."
  • "Create a plan for LLM Ops."
  • "Not sure where to start, need a quick assessment."

Workflow

  1. Define evaluation metrics, datasets, and acceptance thresholds.
  2. Set up observability for quality, latency, and errors.
  3. Implement caching and cost controls.
  4. Create monitoring and alerting for regressions.
  5. Establish release and rollback procedures for prompts/models.
  6. Document runbooks and ongoing QA cadence.

Minimal Intake Questions

  • Primary goal or outcome
  • Scope (pages, systems, teams, or timeframe)
  • Constraints (tools, budget, timeline)

Output Format

  • Eval plan and scoring rubric
  • Monitoring and alerting checklist
  • Cost and caching strategy
  • Release and rollback plan
  • Runbook and QA cadence

Routing Map (Modules)

  • LLM Evaluation -> references/modules/llm-evaluation.md
  • LLM Ops -> references/modules/llm-ops.md

Bundled References

  • references/modules/
  • scripts/
  • assets/
  • agents/

Compatibility Notes

  • If any module references slash commands or tool-specific paths, translate them into plain-language steps.
  • Keep outputs platform-agnostic unless the user specifies a specific tool, stack, or agent.

Guardrails

  • Do not rely on single metrics; include qualitative checks.
  • Track cost per request and cap budgets.
  • Treat prompt/model updates as production changes.
Files

What ships with it

8 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.

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. 2mo ago First seen · 55 lines · 29 tokens per session scan A ed2d5149ca42

Subscribe to this mod's changes

super-ai-ml-ops is a skill published in the GitHub repository arpitexplores/skills-super (2 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 377 once invoked, about $0.0001 per session on Opus 5.5. 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.

Data and AIDevOps and cloudagent-skillsai-agentsai-codingautomationmarkdownsuper-skills
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