Borrowing it
Nothing to install: this file belongs to umidjon3455/_body-metrics_. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/umidjon3455/_body-metrics_/master/AGENTS.mdgit clone --depth 1 https://github.com/umidjon3455/_body-metrics_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.
[](https://agentmods.dev/instructions/umidjon3455/_body-metrics_/agents-md)<a href="https://agentmods.dev/instructions/umidjon3455/_body-metrics_/agents-md"><img src="https://agentmods.dev/badge/instructions/umidjon3455/_body-metrics_/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/umidjon3455/_body-metrics_/agents-md"><img src="https://agentmods.dev/badge/instructions/umidjon3455/_body-metrics_/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.05886 | $0.05886 |
| Opus 5 | $0.02943 | $0.02943 |
| Sonnet 5 | $0.01177 | $0.01177 |
| Haiku 4.5 | $0.00589 | $0.00589 |
Grade A, and why
_body-metrics_ 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 582 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — BodyMetrics Project
This file is designed for general AI coding agents. It provides everything needed to understand, navigate, and contribute to this repository.
Mandatory Agent Rule
Before making any Flutter/Dart code, test, architecture, UI, localization, DI, routing, or cache/API decision in this repository, read and follow flutter_rules.md.
- Treat
flutter_rules.mdas the primary implementation convention guide for this codebase. - If a generated suggestion conflicts with repo conventions, prefer
flutter_rules.md. - Re-check
flutter_rules.mdbefore major refactors and before writing new feature code.
1) Project Goal
Health metrics tracking app (Flutter):
- User onboards → picks avatar, enters name/gender/height
- Enters weight → BMI automatically calculated and stored
- Home screen shows historical measurements as cards and charts
2) Architecture
Stack: Flutter + BLoC/Cubit + Clean Architecture + sqflite + Dio (REST API) + auto_route + injectable/get_it
lib/
├── core/ # Shared infrastructure (router, theme, widgets, extensions, constants)
├── data/ # SQLite cache + REST API (Dio client, services, interceptors)
├── domain/ # Global entities, use cases, repository contracts
├── feature/ # Feature-based modules (each has presentation + optional domain)
│ ├── splash/
│ ├── onboard/
│ ├── avatar_picker/
│ ├── user_general_info/
│ ├── gender/
│ ├── height/
│ ├── weight_picker/
│ └── home/
└── injection/ # GetIt + Injectable DI setup (locator.dart, locator.config.dart)
Layers (per feature):
presentation/→ View + Cubit + Statedomain/→ UseCase + Repository (abstract)data/(inlib/data/) → Cache implementations (sqflite) + API services (Dio)
3) Navigation Flow
Routes defined in lib/core/router/app_router.dart (auto_route):
SplashView → OnboardView → AvatarPickerView → UserGeneralInfoView
→ GenderView → HeightView → WeightView → HomeView
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.
- 9d ago First seen · 582 lines · 5,886 tokens per session scan A 6d4bb0fcf06c
_body-metrics_ AGENTS.md is an instructions file published in the GitHub repository umidjon3455/_body-metrics_ (11 stars, last pushed 4mo ago), licensed MIT. It adds 5,886 tokens to every session, about $0.0294 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.