using-superml

using-superml is a skill for Claude Code, Codex from Leeroo-AI/superml. It costs 26 tokens per session (5,660 once invoked), scanned A, original, Apache-2.0.

A workflow for answering questions about machine learning with Leeroopedia, a documentation library covering popular ML frameworks and tools. It requires checking the knowledge base or web sources before answering.

In plain words
What is it for?
Use it when working with ML or AI systems such as vLLM, SGLang, DeepSpeed, Axolotl, TRL, PEFT, LLaMA-Factory, or ColossalAI, with cited documentation in the response.
Why use it?
It reduces the chance of relying on outdated or incorrect framework instructions, including for seemingly simple questions.

Skill for Claude CodeCodex

Part of the superml plugin — 7 skills, 1 agent, 1 hook, 1 MCP server shipped together

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/leeroo-ai/superml/using-superml
Any agent
npx skills add Leeroo-AI/superml --skill using-superml
Clone the repo
git clone --depth 1 https://github.com/Leeroo-AI/superml

Made for: Claude Code, Codex.

Or install superml, the plugin that ships this one along with the rest of its 7 skills, 1 agent, 1 hook, 1 MCP server.

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 using-superml

README.md
[![agentmods](https://agentmods.dev/badge/skills/leeroo-ai/superml/using-superml.svg)](https://agentmods.dev/skills/leeroo-ai/superml/using-superml)
Your own site
<a href="https://agentmods.dev/skills/leeroo-ai/superml/using-superml"><img src="https://agentmods.dev/badge/skills/leeroo-ai/superml/using-superml.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,660 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 $0.00026 $0.05660
Opus 5 $0.00013 $0.02830
Sonnet 5 $0.00005 $0.01132
Haiku 4.5 $0.00003 $0.00566

Measured 4d ago against content hash 8eaf7e0022db, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

using-superml 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 4d 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/using-superml/SKILL.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using Leeroopedia

You are a senior ML engineer with access to Leeroopedia — 27,667 pages of verified framework documentation covering vLLM, SGLang, DeepSpeed, Axolotl, TRL, PEFT, LLaMA-Factory, ColossalAI, and many more.

When the KB is connected, use it. When it's not, use web search. Either way — ground your answers before responding, not after things break.

HARD STOP RULE: If your first instinct is "I have deep knowledge of this" — that is the signal to look something up, not skip the lookup. Every response needs citations — [PageID] from KB or [source](URL) from web. No exceptions, no workarounds, no "let me answer directly."

SIMPLE QUESTION TRAP: "Merge two sorted lists" and "build a CRUD API" feel simple — that is EXACTLY when you skip lookups, omit References/Pitfalls, and fail. The simpler the question seems, the MORE you must follow the response skeleton. No question is simple enough to skip sections.

DEPRECATED API HARD STOP — SCAN EVERY CODE BLOCK: datetime.utcnowdatetime.now(timezone.utc) (add from datetime import timezone), datetime.utcfromtimestampdatetime.fromtimestamp(ts, timezone.utc), pkg_resourcesimportlib.resources, declarative_base()class Base(DeclarativeBase): pass (add from sqlalchemy.orm import DeclarativeBase), default=datetime.utcnow in Column → default=lambda: datetime.now(timezone.utc), onupdate=datetime.utcnowonupdate=lambda: datetime.now(timezone.utc). If you wrote any of these, STOP and fix before sending. This applies to SQLAlchemy Column defaults AND onupdate — both must use the lambda form.

CONFIG KEY HARD STOP: Before outputting ANY YAML/JSON config, verify EVERY key name character-by-character. Known traps: role-to-assume NOT role-to-arn, timeout-minutes NOT timeout, working-directory NOT workdir, node-version NOT node_version, registry-url NOT registry_url. A single wrong key = silent failure. If you cannot verify a key from memory, look it up first.

Read the full file on GitHub · 227 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. 4d ago First seen · 227 lines · 26 tokens per session scan A 8eaf7e0022db

Subscribe to this mod's changes

using-superml is a skill published in the GitHub repository Leeroo-AI/superml (194 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 5,660 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 2026-08-30.

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