lambda-labs-gpu-cloud

lambda-labs-gpu-cloud is a skill for Claude Code, Codex from raphaelmansuy/edgecrab. It costs 47 tokens per session (3,280 once invoked), scanned C, original, no licence file.

A cloud service offering reserved or on-demand GPU machines for machine-learning training and inference. Inference is the process of using a trained model to produce results.

In plain words
What is it for?
Use it to train or run models through SSH, keep files on persistent filesystems, and run large training workloads across multiple machines.
Why use it?
It provides direct access to dedicated GPU machines, persistent storage, and multi-machine setups without buying the hardware.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to train or run models through SSH, keep files on persistent filesystems, and run large training workloads across multiple machines.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/raphaelmansuy/edgecrab/lambda-labs
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 raphaelmansuy/edgecrab --skill lambda-labs
Clone the repo
git clone --depth 1 https://github.com/raphaelmansuy/edgecrab

Made for: Claude Code, 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 lambda-labs-gpu-cloud

README.md
[![agentmods](https://agentmods.dev/badge/skills/raphaelmansuy/edgecrab/lambda-labs/github.svg)](https://agentmods.dev/skills/raphaelmansuy/edgecrab/lambda-labs)
Your own site
<a href="https://agentmods.dev/skills/raphaelmansuy/edgecrab/lambda-labs"><img src="https://agentmods.dev/badge/skills/raphaelmansuy/edgecrab/lambda-labs/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 lambda-labs-gpu-cloud

Your own site · 80×15
<a href="https://agentmods.dev/skills/raphaelmansuy/edgecrab/lambda-labs"><img src="https://agentmods.dev/badge/skills/raphaelmansuy/edgecrab/lambda-labs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,280 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00047 $0.03280
Opus 5.5 $0.00019 $0.01312
Sonnet 5.5 $0.00009 $0.00656
Haiku 4.5 $0.00005 $0.00328

Measured 1mo ago against content hash 41022fa7d143, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

lambda-labs-gpu-cloud scanned grade C with 2 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.

Reaches for credential fileshighPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

echo 'ssh-rsa AAAA...' >> ~/.ssh/authorized_keys

Makes network callslowCapability

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

## CLI with curl
skills/mlops/cloud/lambda-labs/SKILL.md · 549 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 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. 1mo ago First seen · 549 lines · 47 tokens per session scan C 41022fa7d143

Subscribe to this mod's changes

lambda-labs-gpu-cloud is a skill published in the GitHub repository raphaelmansuy/edgecrab (91 stars, last pushed 2mo ago), with no licence file. It adds 47 tokens to every session and 3,280 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 2 findings (reaches for credential files, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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