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.
npx agentmods add instructions/ogx-ai/ogx/agents-mdgit clone --depth 1 https://github.com/ogx-ai/ogxWrote 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/ogx-ai/ogx/agents-md)<a href="https://agentmods.dev/instructions/ogx-ai/ogx/agents-md"><img src="https://agentmods.dev/badge/instructions/ogx-ai/ogx/agents-md.svg" alt="Measured on agentmods" 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 | $0.02239 | $0.02239 |
| Opus 5 | $0.01120 | $0.01120 |
| Sonnet 5 | $0.00448 | $0.00448 |
| Haiku 4.5 | $0.00224 | $0.00224 |
Grade A, and why
ogx 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 today.
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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Guidelines for OGX
This file provides guidance for AI coding agents working on this codebase. It complements CONTRIBUTING.md with agent-specific instructions. Human contributors should follow the conventions in CONTRIBUTING.md.
Project Overview
OGX is an API server implementing the OpenAI Responses API, Chat Completions, Embeddings, and supporting APIs (files, vector stores, batches, eval, and responses guardrails). It supports multiple inference backends (OpenAI, Azure, Bedrock, vLLM, Ollama, WatsonX, etc.) through a provider architecture.
Repository Layout
src/ogx/ # Server implementation
core/ # Request routing, server, storage
providers/
inline/ # Built-in providers (responses, eval, vector_io, etc.)
remote/ # Remote provider adapters (OpenAI, Azure, vLLM, etc.)
registry/ # Provider registration specs
utils/ # Shared provider utilities (OpenAI mixin, MCP, etc.)
distributions/ # Distribution configs (starter, ci-tests, etc.)
src/ogx_api/ # API definitions, Pydantic models, FastAPI routes
tests/
unit/ # Unit tests
integration/ # Integration tests with recording/replay system
Python & Tooling
- Python 3.12 is required. Pre-commit hooks only work with 3.12.
- Use
uvfor all dependency management and script execution. - Run scripts with
uv run, never barepython3orpython. - Use standard library modules when possible.
- All function signatures must have type hints. Prefer Pydantic models for validation.
- Code must pass
mypy. Check the exclude list inpyproject.tomlfor known exceptions. - Use
def _function_namefor private functions. - Prefer explicit top-level imports over inline imports.
- Do not use exceptions as control flow.
Code Style
- Comments must add value. Do not write filler comments that describe the next line.
- Add comments only to clarify surprising behavior that is not obvious from the code.
- Good variable naming and clear code organization matters more than comments.
- Do NOT remove existing comments unless they are factually wrong.
- Error messages must be prefixed with "Failed to ...".
- Use structured logging via
from ogx.log import get_logger. Always use key-value style:logger.info("Processing request", model=model_id, provider=provider)instead of f-strings or %-style formatting. The pre-commit hookBlock f-string loggingenforces this. - The pre-commit hook
Ensure 'ogx.log' usage for loggingenforces that all logging uses the project's logger, not the standard library directly.
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.
- today Changed · +6 lines · +87 tokens per session 02a58526f418
- 4d ago First seen · 200 lines · 2,152 tokens per session scan A 0de1b537a309
ogx AGENTS.md is an instructions file published in the GitHub repository ogx-ai/ogx (8,424 stars, last pushed today), licensed MIT. It adds 2,239 tokens to every session, about $0.0112 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
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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.
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.
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).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.