Borrowing it
Nothing to install: this file belongs to cs0lar/treelang. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cs0lar/treelang/main/AGENTS.mdgit clone --depth 1 https://github.com/cs0lar/treelangWrote 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.
[](https://agentmods.dev/instructions/cs0lar/treelang/agents-md)<a href="https://agentmods.dev/instructions/cs0lar/treelang/agents-md"><img src="https://agentmods.dev/badge/instructions/cs0lar/treelang/agents-md/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.
<a href="https://agentmods.dev/instructions/cs0lar/treelang/agents-md"><img src="https://agentmods.dev/badge/instructions/cs0lar/treelang/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.04066 | $0.04066 |
| Opus 5.5 | $0.01626 | $0.01626 |
| Sonnet 5.5 | $0.00813 | $0.00813 |
| Haiku 4.5 | $0.00407 | $0.00407 |
Grade A, and why
treelang 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Project Structure & Module Organization
treelang/ contains the library. AST models and evaluation behavior live under
treelang/trees/, while providers, prompts, selection, and memory integrations
live under treelang/ai/. Unit tests mirror the package beneath tests/; tree
tests are split across tests/trees/test_ast.py, test_nodes.py, and
test_tool.py. Use cookbook/ for runnable examples and notebooks.
evaluation/ contains the regression harness, curated
questions, and evaluation tools. Package metadata and dependencies are declared
in pyproject.toml and locked in uv.lock.
Build, Test, and Development Commands
uv sync --frozen --all-groups: install the exact locked development environment.make check: run linting, type checks, tests with coverage, and package builds.uv run pytest: run the complete test suite.make format: apply Ruff lint fixes and formatting.uv run python evaluation/eval.py: run the deterministic offline benchmark and compare it with the committed baseline; this requires no credentials or network access.
Python 3.12 or newer is required. Run cookbook scripts with uv, for example
uv run python cookbook/calculator.py.
Coding Style & Naming Conventions
Use four-space indentation and Ruff's formatter. Follow standard Python naming:
snake_case for functions, variables, and modules; PascalCase for classes;
and UPPER_CASE for constants. Add type annotations to public interfaces and
async functions where practical. Keep schema changes in treelang/trees/schemas/
and provider-specific behavior in treelang/ai/; avoid mixing those concerns.
Testing Guidelines
Tests run with pytest; existing cases use unittest.IsolatedAsyncioTestCase
and AsyncMock for asynchronous behavior.
Name files test_*.py, classes Test*, and methods test_*. Add focused tests
for success paths, validation failures, and async provider interactions. The
current branch-coverage floor is 60%; raise it only with corresponding tests.
Every behavior change should include a regression test. Run the full suite before
opening a pull request.
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.
- 3d ago Changed · +3 lines · +49 tokens per session 28e4c4bd497f
- 1mo ago Changed · +2 lines · +42 tokens per session 609bc67ba2dd
- 1mo ago Changed · +3 lines · +43 tokens per session 69d14bd0b7a7
- 2mo ago Changed · +2 lines · +34 tokens per session 5fd92184d63d
- 2mo ago First seen · 375 lines · 3,898 tokens per session scan A bedfdc49a629
treelang AGENTS.md is an instructions file published in the GitHub repository cs0lar/treelang (6 stars, last pushed 4d ago), licensed MIT. It adds 4,066 tokens to every session, about $0.0163 per session on Opus 5.5. 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 2026-08-31.
treelang AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| treelang AGENTS.mdcs0lar/treelang | Instructions file | 6 | 4d ago | MIT | A | 4,066 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |