What is tensorlake-skills AGENTS.md?

A guide to the Tensorlake SDK, which provides isolated, stateful sandboxes for running code and agent tools, along with managed files and Git repositories. It is intended for applications and agents that need controlled execution environments.

Use it when working with Tensorlake sandboxes, cloud files, Git repositories, browser or desktop automation, remote development, or agent systems that execute code.

It helps an agent find the relevant SDK documentation and follow its setup and safety rules. This matters when running untrusted or generated code or building agents that need saved, repeatable environments.

tensorlake-skills AGENTS.md — Instructions file for Codex and OpenCode by tensorlakeai: A guide to the Tensorlake SDK, which provides isolat

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 instructions/tensorlakeai/tensorlake-skills/agents-md

Clone the repo

git clone --depth 1 https://github.com/tensorlakeai/tensorlake-skills

Made for: Codex, OpenCode.

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/instructions/tensorlakeai/tensorlake-skills/agents-md.svg)](https://agentmods.dev/instructions/tensorlakeai/tensorlake-skills/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/tensorlakeai/tensorlake-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/tensorlakeai/tensorlake-skills/agents-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 851 This file is loaded in full into every session.

When invoked 851 The same file — it is already loaded in full.

Security scan C 2 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.

Model	Per session	Once invoked
Fable 5.1	$0.00851	$0.00851
Opus 5	$0.00426	$0.00426
Sonnet 5	$0.00170	$0.00170
Haiku 4.5	$0.00085	$0.00085

Measured 5d ago against content hash ead8b1ce992b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade C, and why

tensorlake-skills AGENTS.md 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 5d 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

**CLI:** `curl -fsSL https://tensorlake.ai/install | sh`

Makes network callslowCapability

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

**CLI:** `curl -fsSL https://tensorlake.ai/install | sh`

AGENTS.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tensorlake SDK

Tensorlake SDK — sandboxes, Cloud Volumes, and Git repos for AI agents. Use when the user mentions tensorlake or sandboxes, or asks about Tensorlake APIs/docs/capabilities. Also use when building an application, coding agent, or agentic system that needs a sandbox to run code — e.g., executing LLM-generated or untrusted code, suspend/resume, snapshots for forking parallel workers, pre-warmed sandbox pools, custom or OCI images, exposed ports, egress allowlists, PTY shells, process logs, computer-use / desktop automation, browser automation (Chrome CDP, Playwright), tunnels for non-HTTP protocols, async parallel sandboxes, Harbor evals or RL rollouts, SSH access, remote-dev, or agent integrations (Claude managed agents, OpenCode, Crabbox, Devin Outposts). Also covers versioned Cloud Volumes and managed Git repositories mounted into sandboxes, sandbox-native durable orchestration, and public application endpoints. When this skill applies, ALWAYS WebFetch https://docs.tensorlake.ai/llms.txt first.

What can you do with Tensorlake SDK

Tensorlake provides three APIs:

Sandbox — stateful execution environments for AI agents and isolated tool calls, with suspend/resume, snapshots, copy, and pre-warmed pools for persistence between tasks.
Orchestration — sandbox-native durable workflow orchestration for AI agents.
Storage — versioned Cloud Volumes (tl fs) and managed Git repositories (tl git) that mount into a sandbox as an ordinary directory and outlive it.

Available in Python, TypeScript, and CLI. Use standalone or as infrastructure alongside any LLM provider, agent framework, database, or API.

Before you start

Verify setup:

SDK installed? If not, install by: Python: pip install tensorlake TypeScript: npm install tensorlake CLI: curl -fsSL https://tensorlake.ai/install | sh
API key set? For using CLI only, run tl login. For using SDKs, get a key at cloud.tensorlake.ai and export TENSORLAKE_API_KEY=your-api-key-here.

Read the full file on GitHub · 44 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.

5d ago First seen · 44 lines · 851 tokens per session scan C ead8b1ce992b

Subscribe to this mod's changes

tensorlake-skills AGENTS.md is an instructions file published in the GitHub repository tensorlakeai/tensorlake-skills (174 stars, last pushed 1mo ago), licensed MIT. It adds 851 tokens to every session, about $0.0043 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

tensorlake-skills AGENTS.md