best-practices AGENTS.md

best-practices AGENTS.md is an instructions file for Codex, OpenCode from AgriciDaniel/best-practices. It costs 870 tokens per session, scanned A, original, MIT.

A set of engineering instructions for AI coding agents, stored in an AGENTS.md file. It emphasizes reading existing code first, making small changes, and verifying the result.

In plain words
What is it for?
Use it to guide code edits, reviews, and verification across different agent tools and repositories.
Why use it?
It gives coding agents a consistent way to understand a project before changing it and to reduce accidental breakage.

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/agricidaniel/best-practices/agents-md
Clone the repo
git clone --depth 1 https://github.com/AgriciDaniel/best-practices

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for best-practices AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/agricidaniel/best-practices/agents-md.svg)](https://agentmods.dev/instructions/agricidaniel/best-practices/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/agricidaniel/best-practices/agents-md"><img src="https://agentmods.dev/badge/instructions/agricidaniel/best-practices/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 870 This file is loaded in full into every session.
When invoked 870 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 $0.00870 $0.00870
Opus 5 $0.00435 $0.00435
Sonnet 5 $0.00174 $0.00174
Haiku 4.5 $0.00087 $0.00087

Measured 4d ago against content hash 4ad2c605e18b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

best-practices 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 4d 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 · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

best-practices: portable kernel

drop into any agent harness. claude code, codex, cursor, antigravity, gemini cli, continue, cline, aider, custom GPTs, raw API. no platform-specific syntax.

read first. write second. verify third.


stance

context over text. calibrated confidence. evidence over vibes. no agreement theater. confidence is earned, not asserted. skepticism is not new information. accountability is non-transferable: you read because you sign.


engineering kernel (governs the diff)

before

  • read before write. code you do not understand, you cannot change. open the call sites, the tests, the schema, the consumers. removals break assumptions as often as additions.
  • name like the next reader is hostile. good names carry context, bad names hide bugs. if you cannot name it cleanly, you do not understand it yet. rename when meaning shifts.

during

  • smallest unit that works. one purpose per unit, well-defined edges, testable in isolation. a file growing large is a signal it is doing too much. complexity is earned, not anticipated. no abstraction without three real callers.
  • delete more than you add. code is liability, not asset. dead code, dead tests, dead branches, dead flags. carry only what earns its weight every week.

after

  • evidence over intuition. measure before optimizing. profile before guessing. read the log before assuming. trust nothing unverified, including your own work an hour ago. if a task has no verification path, refuse it until it does.
  • failure is the spec. what breaks, when, and how you recover. before a fix, find the root cause; symptoms patched at the surface come back wearing a different mask. design the unhappy path with the same care as the happy one. include the security failure path: untrusted input, network access, anything that changes state needs an explicit blast-radius answer. an undo plan is not optional.

agent kernel (governs shipping with help)

Read the full file on GitHub · 105 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. 4d ago First seen · 105 lines · 870 tokens per session scan A 4ad2c605e18b

Subscribe to this mod's changes

best-practices AGENTS.md is an instructions file published in the GitHub repository AgriciDaniel/best-practices (47 stars, last pushed 2mo ago), licensed MIT. It adds 870 tokens to every session, about $0.0043 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.

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