A machine-learning development workflow covering experiment tracking, tuning model settings, and connecting models to operational processes. Machine learning is the practice of training software to find patterns in data and make predictions.

Use it to organise machine-learning experiments, track results, search for better model settings, and connect trained models with MLOps systems.

It gives machine-learning work a stated process instead of treating experiments, model settings, and deployment operations as unrelated tasks.

ml — Skill for Claude Code by skillmds/skillmd

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/skillmds/skillmd

agentmods

npx agentmods add skills/skillmds/skillmd/ml

Made for: Claude Code.

Or install data-ml, the plugin that ships this one along with the rest of its 17 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/skillmds/skillmd/ml/github.svg)](https://agentmods.dev/skills/skillmds/skillmd/ml)

Your own site

<a href="https://agentmods.dev/skills/skillmds/skillmd/ml"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/ml/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/skillmds/skillmd/ml"><img src="https://agentmods.dev/badge/skills/skillmds/skillmd/ml.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 5 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,857 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.

Model	Per session	Once invoked
Fable 5.1	$0.00005	$0.01857
Opus 5.5	$0.00002	$0.00743
Sonnet 5.5	$0.00001	$0.00371
Haiku 4.5	$0.00001	$0.00186

Measured 1mo ago against content hash ca620cf7d413, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ml 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 1mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

ml — 95% identical, 6 lines differ

plugins/data-ml/skills/ml/SKILL.md · 244 lines

How it starts

The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/============================================================================/ /* ML SKILL :: VERILINGUA x VERIX EDITION / /============================================================================*/

name: ml version: 2.0.0 description: | [assert|neutral] Machine Learning development workflow with experiment tracking, hyperparameter optimization, and MLOps integration [ground:given] [conf:0.95] [state:confirmed] category: specialized-development tags:

machine-learning
mlops
experiment-tracking
hyperparameter-tuning
model-registry author: ruv cognitive_frame: primary: aspectual goal_analysis: first_order: "Execute ml workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic specialized-development processes"

/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/

[define|neutral] SKILL := { name: "ml", category: "specialized-development", version: "2.0.0", layer: L1 } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S1 COGNITIVE FRAME / /----------------------------------------------------------------------------*/

[define|neutral] COGNITIVE_FRAME := { frame: "Aspectual", source: "Russian", force: "Complete or ongoing?" } [ground:cognitive-science] [conf:0.92] [state:confirmed]

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

/----------------------------------------------------------------------------/ /* S2 TRIGGER CONDITIONS / /----------------------------------------------------------------------------*/

[define|neutral] TRIGGER_POSITIVE := { keywords: ["ml", "specialized-development", "workflow"], context: "user needs ml capability" } [ground:given] [conf:1.0] [state:confirmed]

/----------------------------------------------------------------------------/ /* S3 CORE CONTENT / /----------------------------------------------------------------------------*/

Read the full file on GitHub · 244 lines

Files

What ships with it

1 file 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.

metadata.json 736 B

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.

1mo ago First seen · 244 lines · 5 tokens per session scan A ca620cf7d413

Subscribe to this mod's changes

ml is a skill published in the GitHub repository skillmds/skillmd (143 stars, last pushed 4d ago), licensed MIT. It adds 5 tokens to every session and 1,857 once invoked, about $0.0000 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 2026-09-19.

Data and AI Lint agent-skills ai-agents claude cli mcp

ml next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
mlskillmds/skillmd	Skill	143	4d ago	MIT	A	5	Claude Code
glycobiologysynthetic-sciences/openscience	Skill	4.4k	yesterday	Apache-2.0	A	67	Claude Code, Codex
shapsynthetic-sciences/openscience	Skill	4.4k	yesterday	Apache-2.0	A	109	Claude Code, Codex
cellxgene-censussynthetic-sciences/openscience	Skill	4.4k	yesterday	Apache-2.0	A	67	Claude Code, Codex
esmsynthetic-sciences/openscience	Skill	4.4k	yesterday	Apache-2.0	A	86	Claude Code, Codex
llm-as-judge-evaluationsynthetic-sciences/openscience	Skill	4.4k	yesterday	Apache-2.0	A	56	Claude Code, Codex
groq-inferencesynthetic-sciences/openscience	Skill	4.4k	yesterday	Apache-2.0	A	77	Claude Code, Codex