lambda-gpu-cloud

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/synthetic-sciences/openscience/lambda-labs

Any agent

npx skills add synthetic-sciences/openscience --skill lambda-labs

Clone the repo

git clone --depth 1 https://github.com/synthetic-sciences/openscience

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/synthetic-sciences/openscience/lambda-labs.svg)](https://agentmods.dev/skills/synthetic-sciences/openscience/lambda-labs)

Your own site

<a href="https://agentmods.dev/skills/synthetic-sciences/openscience/lambda-labs"><img src="https://agentmods.dev/badge/skills/synthetic-sciences/openscience/lambda-labs.svg" alt="Measured on agentmods" height="20"></a>

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 821 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.

Model	Per session	Once invoked
Fable 5	$0.00032	$0.00821
Opus 5	$0.00016	$0.00411
Sonnet 5	$0.00006	$0.00164
Haiku 4.5	$0.00003	$0.00082

Measured today against content hash e2c3640fb12f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lambda-gpu-cloud 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 today.

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.

dependencies: [curl, ssh]

backend/cli/skills/cloud-compute/lambda-labs/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lambda Cloud

Use this skill for Lambda Cloud instance discovery and lifecycle planning. Do not invent a Lambda-native CLI: the supported automation contract used here is Lambda's documented HTTPS Cloud API.

OpenScience credential boundary

A key saved in Customize > Compute > Lambda is encrypted control-plane data. It is not exported into Bash, Task, notebooks, kernels, plugins, or MCP servers.
Use provider_compute with list_resources, resource_status, or list_availability for live instance and capacity reads. account is the same reviewed instance-list request used by Test connection.
Test connection must approve an administrator-managed, non-writable curl executable; the macOS system /usr/bin/curl satisfies that boundary. User-owned replacements are rejected.
The bearer header is supplied to the approved curl over stdin, so the key is not placed in argv or a temporary file.
OpenScience updates last_used only after the API returns success.
Never print, log, persist, or put the key in a URL. The saved credential cannot launch, restart, terminate, or change resources; a generic shell is unauthenticated unless the user configured it separately.

API contract

Use the current API reference before constructing a request:

Base URL: https://cloud.lambda.ai/api/v1
Authentication: Authorization: Bearer <API key>
Response and request shapes: use the current endpoint schema from the official API documentation

For local user-managed authentication, avoid secrets in shell history. This read-only pattern keeps the header input out of argv:

printf 'Authorization: Bearer %s\n' "$LAMBDA_API_KEY" \
  | curl --fail-with-body --silent --show-error \
      --request GET \
      --url https://cloud.lambda.ai/api/v1/instances \
      --header 'accept: application/json' \
      --header @-

Do not run that command unless the shell was independently authenticated; a key saved in OpenScience is intentionally unavailable there.

Read the full file on GitHub · 67 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.

today First seen · 67 lines · 32 tokens per session scan A e2c3640fb12f

Subscribe to this mod's changes

lambda-gpu-cloud is a skill published in the GitHub repository synthetic-sciences/openscience (3,432 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 821 once invoked, about $0.0002 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 2026-09-03.

Backend and APIs GPU Cloud agent ai ai-agent ai-scientist bioinformatics bun cloud-api cloud-compute infrastructure lambda ssh

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