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.
npx agentmods add instructions/tensorlakeai/tensorlake/agents-mdgit clone --depth 1 https://github.com/tensorlakeai/tensorlakeWhat 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 | $0.00002 | $0.00002 |
| Opus 5 | $0.00001 | $0.00001 |
| Sonnet 5 | $0.00000 | $0.00000 |
| Haiku 4.5 | $0.00000 | $0.00000 |
Grade A, and why
tensorlake AGENTS.md 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 2d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- agent-permissions CLAUDE.md — 100% identical, 0 lines differ
- document-mcp CLAUDE.md — 100% identical, 0 lines differ
- document-mcp AGENTS.md — 100% identical, 0 lines differ
- claudeline CLAUDE.md — 100% identical, 0 lines differ
- clockify-mcp-server CLAUDE.md — 100% identical, 3 lines differ
- agent-permissions AGENTS.md — 100% identical, 0 lines differ
- ragflow-knowledge-mcp-server GEMINI.md — 100% identical, 0 lines differ
- claude-code-plugins CLAUDE.md — 100% identical, 3 lines differ
What it actually says
README.md
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.
- 2d ago First seen · 1 lines · 2 tokens per session scan A b33563055168
tensorlake AGENTS.md is an instructions file published in the GitHub repository tensorlakeai/tensorlake (995 stars, last pushed 4d ago), licensed Apache-2.0. It adds 2 tokens to every session, about $0.0000 per session on Opus 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 2026-08-30.
Other instructions, from other repositories
agent-sandbox AGENTS.md
Instructions for kubernetes-sigs/agent-sandbox, covering agents.md, project summary, repository layout, agent skills and build, test, lint.
agent-sandbox copilot-instructions.md
Instructions for kubernetes-sigs/agent-sandbox: Project Context & Architecture: Refer to AGENTS.md for full project background, module layout, toolchain versions, and core conventions.
axern AGENTS.md
Instructions for cofy-x/axern, covering axern agent contract, scope, minimum context, sources of truth and repository constraints.
ipybox AGENTS.md
Instructions for gradion-ai/ipybox, covering repository guidelines, project structure & module organization, directory-specific guidelines, development commands and docstring guidelines.
anvil AGENTS.md
AGENTS.md instructions for tools-for-agents/anvil, covering agents.md — anvil, setup, the rules this repo is built on, tests and ci.
ipybox CLAUDE.md
Instructions for gradion-ai/ipybox, a project described as: Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.