Borrowing it
Nothing to install: this file belongs to cornell-zhang/allo. 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/cornell-zhang/allo/main/AGENTS.mdgit clone --depth 1 https://github.com/cornell-zhang/alloWrote 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/cornell-zhang/allo/agents-md)<a href="https://agentmods.dev/instructions/cornell-zhang/allo/agents-md"><img src="https://agentmods.dev/badge/instructions/cornell-zhang/allo/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/cornell-zhang/allo/agents-md"><img src="https://agentmods.dev/badge/instructions/cornell-zhang/allo/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 | $0.00290 | $0.00290 |
| Opus 5.5 | $0.00116 | $0.00116 |
| Sonnet 5.5 | $0.00058 | $0.00058 |
| Haiku 4.5 | $0.00029 | $0.00029 |
Grade A, and why
allo 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 2mo 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.
What it actually says
Building
- Always run
conda activate allobefore building or running tests - Run
pip install -v -e .to build the full project (includes MLIR/C++ backend) - Read
docs/source/dive/frontend_syntax.rstfor comprehensive Allo frontend syntax reference - Read
docs/source/dive/dataflow.rstfor the dataflow programming model (regions, kernels, streams)
Testing
- Run
bash scripts/lint/task_lint.shfor formatting checks - Run
python3 -m pytest --ignore=tests/dataflow tests -vfor tests- Prefer running a single test file instead of the full suite (full suite is slow)
- Use only software simulators (
target="llvm"ortarget="simulator") - If Vitis HLS tests are needed, ask the user to run them manually
Code style
- Make small, targeted diffs rather than large refactors, and always be concise
- Prefer general solutions instead of one-off
if/elsepatches - Place Python frontend code in
allo/ - Place MLIR dialects and passes code in
mlir/ - Add tests and documentation for new features in
tests/anddocs/
Don'ts
- Do not modify repository structure without approval
- Do not install system packages without explicit user confirmation
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.
- 2mo ago First seen · 24 lines · 290 tokens per session scan A 53e6ca0c1b43
allo AGENTS.md is an instructions file published in the GitHub repository cornell-zhang/allo (419 stars, last pushed 5d ago), licensed Apache-2.0. It adds 290 tokens to every session, about $0.0012 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 2026-08-30.
allo AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| allo AGENTS.mdcornell-zhang/allo | Instructions file | 419 | 5d ago | Apache-2.0 | A | 290 | 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 |