allo AGENTS.md

Repository instructions for building, testing, and maintaining Allo, a Python and compiler project for describing hardware-oriented programs.

In plain words
What is it for?
Use them when adding or changing Allo frontend code, compiler passes, tests, documentation, or simulator-based builds.
Why use it?
They define the required environment, test commands, code locations, and restrictions, helping changes remain compatible and reviewable.

Instructions file for CodexOpenCode

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/cornell-zhang/allo/agents-md
Clone the repo
git clone --depth 1 https://github.com/cornell-zhang/allo

Made for: Codex, OpenCode.

Per session 290 This file is loaded in full into every session.
When invoked 290 The same file — it is already loaded in full.
Security scan A 0 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.

ModelPer sessionOnce invoked
Fable 5 $0.00290 $0.00290
Opus 5 $0.00145 $0.00145
Sonnet 5 $0.00058 $0.00058
Haiku 4.5 $0.00029 $0.00029

Measured 3d ago against content hash 53e6ca0c1b43, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 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.

AGENTS.md · 24 lines

What it actually says

Building

  • Always run conda activate allo before building or running tests
  • Run pip install -v -e . to build the full project (includes MLIR/C++ backend)
  • Read docs/source/dive/frontend_syntax.rst for comprehensive Allo frontend syntax reference
  • Read docs/source/dive/dataflow.rst for the dataflow programming model (regions, kernels, streams)

Testing

  • Run bash scripts/lint/task_lint.sh for formatting checks
  • Run python3 -m pytest --ignore=tests/dataflow tests -v for tests
    • Prefer running a single test file instead of the full suite (full suite is slow)
    • Use only software simulators (target="llvm" or target="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/else patches
  • Place Python frontend code in allo/
  • Place MLIR dialects and passes code in mlir/
  • Add tests and documentation for new features in tests/ and docs/

Don'ts

  • Do not modify repository structure without approval
  • Do not install system packages without explicit user confirmation
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.

  1. 3d ago First seen · 24 lines · 290 tokens per session scan A 53e6ca0c1b43

Subscribe to this mod's changes

allo AGENTS.md is an instructions file published in the GitHub repository cornell-zhang/allo (408 stars, last pushed 7d ago), licensed Apache-2.0. It adds 290 tokens to every session, about $0.0014 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.