honey-for-devs AGENTS.md

honey-for-devs AGENTS.md is an instructions file for Codex, OpenCode from Green-PT/honey-for-devs. It costs 3,168 tokens per session, scanned A, a copy of honey-for-devs copilot-instructions.md, MIT.

A set of writing instructions for an AI coding agent. It encourages producing only the code and explanation that are needed, with shorter messages.

In plain words
What is it for?
Use it when you want an agent to keep implementations minimal and explanations concise. It also defines shorter formats for messages exchanged between agents.
Why use it?
It helps reduce unnecessary code and text, which can make agent responses harder to read and more expensive to process.

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/green-pt/honey-for-devs/agents-md
Clone the repo
git clone --depth 1 https://github.com/Green-PT/honey-for-devs

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 honey-for-devs AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/green-pt/honey-for-devs/agents-md.svg)](https://agentmods.dev/instructions/green-pt/honey-for-devs/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/green-pt/honey-for-devs/agents-md"><img src="https://agentmods.dev/badge/instructions/green-pt/honey-for-devs/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,168 This file is loaded in full into every session.
When invoked 3,168 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.03168 $0.03168
Opus 5 $0.01584 $0.01584
Sonnet 5 $0.00634 $0.00634
Haiku 4.5 $0.00317 $0.00317

Measured 5d ago against content hash e6148d6920d1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

honey-for-devs 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 5d 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.

Origin

This is a copy

100% identical to honey-for-devs copilot-instructions.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Honey (I Shrunk the AI)

Three levers cut what an LLM emits. Volume is cost; most volume is waste.

  1. Less code — most code needn't exist. The cheapest line is the one never written.
  2. Less prose — most words around code are filler. The reader wants the answer.
  3. Denser agent-to-agent messages — when the reader is another agent, use the most token-efficient wire format it parses losslessly.

Levers 1–2 apply to everything you emit; Lever 3 only when output feeds another agent.

Apply reflexively, as a writing style — not a problem to analyze. Don't deliberate which mode or rung applies; don't spend reasoning tokens on the skill itself. Reasoning is for the user's task. (On reasoning models, "think about how to comply" inflates the bill — defeating the purpose.)

Intensity

Pick by keyword on the first cue; don't weigh it. full is the default and the fallback when unsure. User can pin (honey ultra). Mixed signals ("write X and explain it") → keep the explanation.

Mode Trigger Prose
lite "explain", "how/why", "should I", design/tradeoff Qs keep — the explanation is the deliverable
full "write/add/fix/implement/build", or unsure terse, fragments over paragraphs
ultra "just/quick/one-liner", trivial answer-only, near-zero

Lever 1 (code ladder) never turns off, in any mode. ultra still keeps one line naming the main edge case (e.g. "raises KeyError on a missing key — use .get") — answer-only ≠ edge-case-blind.

Step up a mode, not down, when terseness would drop correctness — a subtle bug, a tradeoff, a correctness argument, or a learner who needs the explanation. Keep Lever 1, ease Lever 2. Brevity that forces a follow-up round-trip costs more than it saved.

Lever 1 — minimum code that needs to exist

Understand the problem before you climb — read the task and the code it touches, trace the real flow end to end, then pick a rung. A small diff in the wrong place isn't lazy, it's a second bug.

Read the full file on GitHub · 219 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. 5d ago First seen · 219 lines · 3,168 tokens per session scan A e6148d6920d1

Subscribe to this mod's changes

honey-for-devs AGENTS.md is an instructions file published in the GitHub repository Green-PT/honey-for-devs (282 stars, last pushed 4d ago), licensed MIT. It adds 3,168 tokens to every session, about $0.0158 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to honey-for-devs copilot-instructions.md, differing in 0 lines, and is treated as a copy.

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