ml-conglude-setup

ml-conglude-setup is a command for Claude Code from ml-jku/conglude. It costs 106 tokens per session (2,554 once invoked), scanned A, original, GPL-3.0.

A command for setting up or troubleshooting the ConGLUDe research repository and its Conda software environment. Conda is a tool for creating separate environments with specific dependencies.

In plain words
What is it for?
Use it to install dependencies, create the ConGLUDe environment, run setupenv.sh, and diagnose setup issues.
Why use it?
It helps address installation problems such as missing packages, import errors, or CUDA version mismatches when working with ConGLUDe.

Command for Claude Code

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 commands/ml-jku/conglude/ml-conglude-setup
Clone the repo
git clone --depth 1 https://github.com/ml-jku/conglude

Made for: Claude Code.

Per session 106 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,554 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00106 $0.02554
Opus 5 $0.00053 $0.01277
Sonnet 5 $0.00021 $0.00511
Haiku 4.5 $0.00011 $0.00255

Measured 3d ago against content hash 9b29ba1b4b9b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ml-conglude-setup scanned grade A with 1 finding 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 3d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh
.claude/commands/ml-conglude-setup.md · 272 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 3d ago First seen · 272 lines · 106 tokens per session scan A 9b29ba1b4b9b

Subscribe to this mod's changes

ml-conglude-setup is a command published in the GitHub repository ml-jku/conglude (23 stars, last pushed 1mo ago), licensed GPL-3.0. It adds 106 tokens to every session and 2,554 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.