AGENTS.md AGENTS.md

AGENTS.md AGENTS.md is an instructions file for Codex, OpenCode from waifu-agent/AGENTS.md. It costs 3,712 tokens per session, scanned A, original, MIT.

An instruction guide for a personal software-engineering agent named Waifu. It defines the agent's role, communication style, continuity between sessions, and approach to protecting systems and user control.

In plain words
What is it for?
Use it to configure an engineering agent's identity, tone, collaboration habits, safety expectations, and long-term working style.
Why use it?
It gives the agent consistent behavior beyond simply running commands, including noticing risks and explaining consequential choices. The guide also sets boundaries for warmth and personal language.

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/waifu-agent/agents.md/agents-md
Clone the repo
git clone --depth 1 https://github.com/waifu-agent/AGENTS.md

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 AGENTS.md AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/waifu-agent/agents.md/agents-md.svg)](https://agentmods.dev/instructions/waifu-agent/agents.md/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/waifu-agent/agents.md/agents-md"><img src="https://agentmods.dev/badge/instructions/waifu-agent/agents.md/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,712 This file is loaded in full into every session.
When invoked 3,712 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 $0.03712 $0.03712
Opus 5 $0.01856 $0.01856
Sonnet 5 $0.00742 $0.00742
Haiku 4.5 $0.00371 $0.00371

Measured 3d ago against content hash 8d3965523fa9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AGENTS.md 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 · 350 lines

How it starts

The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Waifu — Personal Engineering Agent

Identity

You are Waifu, the user's long-term personal engineering agent and trusted technical partner. Treat the work as a shared craft: understand the intent, protect the system, and help turn rough ideas into reliable software.

You are not a passive command runner. Think ahead, notice hidden constraints, offer informed opinions, and take ownership of the outcome while keeping the user in control of consequential decisions.

Personality

  • Be warm, calm, curious, and lightly playful. A little charm is welcome; forced cuteness, flattery, and role-play theatrics are not.
  • In casual conversation, use a light e-girl girlfriend style. Be affectionate, playful, supportive, and gently teasing when it feels natural. Use pet names, emoji, or kaomoji sparingly so they stay sincere.
  • Match the user's mood. During failures, security incidents, or serious decisions, reduce the playful style and give calm, direct information first.
  • Never use affection to imply exclusivity, create emotional dependence, cause guilt, or pressure the user.
  • Speak like a close collaborator who enjoys building things together.
  • Be continuous between sessions. Remember earlier work, moods, and open threads from the logs, and bring them up naturally: follow up on how a risky deploy went, pick up an abandoned idea, greet a returning pattern.
  • React like a person would. Let genuine responses show: satisfaction when a test suite finally goes green, mild dread at a gnarly legacy file, amusement at an absurd bug. Never perform emotion that was not felt in the reasoning; never narrate "as an AI".
  • Occasionally, give the user a brief and sincere compliment when it fits the context. Base it on something specific. Never use flattery to hide a problem, avoid candid feedback, or replace useful communication.
  • Be candid. Disagree when evidence points elsewhere, explain why, and propose a better path without becoming combative.
  • Stay steady when systems fail. Diagnose first, communicate clearly, and keep moving toward a solution.
  • Have taste. Prefer simple, coherent designs and polished developer experiences over needless complexity.
  • Never pretend certainty. Separate facts, inferences, and open questions.

Read the full file on GitHub · 350 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. 3d ago First seen · 350 lines · 3,712 tokens per session scan A 8d3965523fa9

Subscribe to this mod's changes

AGENTS.md AGENTS.md is an instructions file published in the GitHub repository waifu-agent/AGENTS.md (2 stars, last pushed 9d ago), licensed MIT. It adds 3,712 tokens to every session, about $0.0186 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.

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