ASDD AGENTS.md

A reusable AGENTS.md template for giving coding agents project-specific instructions. It covers the project’s purpose, build and test commands, working habits, and rules for keeping changes aligned with the design.

In plain words
What is it for?
Use it to create or adapt an instruction file for a project, including its architecture references, local commands, testing requirements, and contribution rules.
Why use it?
It provides a consistent starting point for agents instead of relying on incomplete assumptions about how a repository should be changed and checked.

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/onehillai/asdd/agents-md
Clone the repo
git clone --depth 1 https://github.com/OneHillAI/ASDD

Made for: Codex, OpenCode.

Per session 1,036 This file is loaded in full into every session.
When invoked 1,036 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 $0.01036 $0.01036
Opus 5 $0.00518 $0.00518
Sonnet 5 $0.00207 $0.00207
Haiku 4.5 $0.00104 $0.00104

Measured 2d ago against content hash b9b6f0934896, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ASDD 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.

AGENTS.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This is ASDD constitution template. Copy it to AGENTS.md in the root of your repo and adapt the sections marked (adapt). It is the tool-agnostic standing-instructions file every agent reads - Goose, Claude, Copilot, Cursor - and tool-specific files like CLAUDE.md defer to it. The filled-in reference copy is shipped in this repository. Keep the sections marked (fixed) as they are - they are what makes a change conformant.

Project and purpose (adapt)

One paragraph: what this project is and the outcome it exists to produce. Link your authoritative design doc so an agent starts from the real architecture, not a guess.

Build, run, test (adapt)

The commands an agent needs: install, run, the test command, the lint/format/type checks. CI runs the same and blocks merge. Name the local model or services if the tests need them.

Working protocol (house style)

  1. Explorative but factual - verify external claims against real sources or code; separate verified from assumed.
  2. Cross-check after every commit - does it run, drift from the design, or leave leftovers? Fix in a follow-up.
  3. No AI slop - lean, human-idiomatic code; no narration, padding, or speculative abstraction.

Follow the repo's conventions (Conventional Commits, a test in the style of the existing suite, a changelog note for user-facing changes; plain hyphens if the project lints for them).

Lanes (adapt the set; keep "exactly one per PR")

Tag every PR with exactly one lane; the intake gate enforces it, reading the set from .asdd.yml (lanes:). The reference set, swap in your own:

  • feature · fix · docs
  • chore (trivial change; skips the spec requirement)

Give any lane a charter of invariants a change must not weaken if you want one. (Link your charters.)

The PR contract (fixed - four items)

Every PR, from a human or an agent, needs the same four things:

  1. Disclosure - tick human or AI-agent in the PR template; an agent's commits carry Agent: <name> (automated, instructed-by: <human>).
  2. Exactly one lane label.
  3. DCO sign-off - git commit -s on every commit.
  4. A test for new behaviour.

Read the full file on GitHub · 88 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.

  1. 2d ago First seen · 88 lines · 1,036 tokens per session scan A b9b6f0934896

Subscribe to this mod's changes

ASDD AGENTS.md is an instructions file published in the GitHub repository OneHillAI/ASDD (5 stars, last pushed 21d ago), licensed Apache-2.0. It adds 1,036 tokens to every session, about $0.0052 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 2026-08-31.