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 arpitexplores/skills-super --skill super-ai-ml-opsgit clone --depth 1 https://github.com/arpitexplores/skills-superWrote 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/arpitexplores/skills-super/super-ai-ml-ops)<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.
<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>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 | $0.00029 | $0.00377 |
| Opus 5 | $0.00015 | $0.00188 |
| Sonnet 5 | $0.00006 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00038 |
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 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.
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
- Define evaluation metrics, datasets, and acceptance thresholds.
- Set up observability for quality, latency, and errors.
- Implement caching and cost controls.
- Create monitoring and alerting for regressions.
- Establish release and rollback procedures for prompts/models.
- 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.
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.
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 · 55 lines · 29 tokens per session scan A ed2d5149ca42
super-ai-ml-ops is a skill published in the GitHub repository arpitexplores/skills-super (2 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 377 once invoked, about $0.0001 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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