Flowery.Uno: Instructions file for Codex

AGENTS.md

Flowery.Uno AGENTS.md is an instructions file for Codex, OpenCode from tobitege/Flowery.Uno. It costs 4,608 tokens per session, scanned A, original, MIT.

A set of instructions for an AI coding agent working on the Flowery.Uno project. It requires the agent to stop and ask before changing approach or expanding the work after five unsuccessful attempts.

In plain words
What is it for?
Guiding agent behavior during multi-step code changes, especially when a fix is not working as expected.
Why use it?
It reduces the risk of large, unwanted rewrites and makes failed attempts and scope changes visible to the developer. It also treats making no change as an acceptable result.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions subagents.

This is tobitege/Flowery.Uno's own configuration. It tells Codex and OpenCode how to work on Flowery.Uno itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Flowery.Uno configures →

Reuse

Borrowing it

Nothing to install: this file belongs to tobitege/Flowery.Uno. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/tobitege/Flowery.Uno/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/tobitege/Flowery.Uno

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 4,608 This file is loaded in full into every session.
When invoked 4,608 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.04608 $0.04608
Opus 5.5 $0.01843 $0.01843
Sonnet 5.5 $0.00922 $0.00922
Haiku 4.5 $0.00461 $0.00461

Measured 13d ago against content hash d1a24b0b19b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Flowery.Uno 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 13d 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 · 358 lines

How it starts

The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Rules

Agent Behavior

CRITICAL: THE 5-ITERATION RULE (Communication Before Scope Changes)

THIS IS NON-NEGOTIABLE. VIOLATION OF THIS RULE IS UNACCEPTABLE.

The Problem This Solves: The AI often starts a targeted fix, then mid-execution decides "this is too complex, let me simplify/rewrite this" — and proceeds to rewrite several hundred lines of code the user never asked to touch. This creates massive diffs, introduces regressions, and destroys context.

The Rule: During multi-tool inference (not chat with user), if an approach isn't working after 5 consecutive attempts, the AI MUST:

  1. STOP making unsupervised changes
  2. Report what was attempted and why it's not working
  3. ASK the user before trying a different approach or expanding scope
  4. NEVER silently change direction - approach/scope changes require user awareness

Clarification (Scope of This Rule): This rule is about unsupervised approach changes during the AI's own multi-tool execution. It does NOT limit interactive back-and-forth with the user. If the user is engaged and responding, keep working, but still explicitly communicate any approach/scope change before doing it.

Specifically FORBIDDEN behaviors:

  • Silently deciding "this code is messy, let me refactor it while I'm here"
  • Expanding from a 10-line fix to a 200-line rewrite without informing the user first
  • Switching fundamental approaches (e.g., Grid → Canvas, inheritance → composition) mid-execution without asking
  • "Simplifying" code by rewriting large sections the user didn't request

What this rule does NOT prevent:

  • Continuing to help when the user is actively engaged in conversation
  • Discussing options and alternatives with the user
  • Making changes the user explicitly requests or approves
  • Asking clarifying questions
  • Fixing root causes in other files — but TELL the user first (e.g., "The bug in DaisyButton is caused by logic in DaisyControlExtensions. I'll need to fix it there. Proceed?")

Read the full file on GitHub · 358 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. 13d ago First seen · 358 lines · 4,608 tokens per session scan A d1a24b0b19b4

Subscribe to this mod's changes

Flowery.Uno AGENTS.md is an instructions file published in the GitHub repository tobitege/Flowery.Uno (16 stars, last pushed today), licensed MIT. It adds 4,608 tokens to every session, about $0.0184 per session on Opus 5.5. 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 2026-10-02.

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