ogx: Instructions file for Claude Code

CLAUDE.md

ogx CLAUDE.md is an instructions file for Claude Code from ogx-ai/ogx. It costs 562 tokens per session, scanned A, original, MIT.

A project instruction file describing the users, brand voice, visual style, and design principles for OGX. OGX is intended for teams running AI workloads in production.

In plain words
What is it for?
Use it when designing or reviewing OGX interfaces, documentation, branding, or other user-facing work.
Why use it?
It helps agents make design decisions that fit the project's audience and identity instead of producing inconsistent screens or copy.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions AGENTS.md.

This is ogx-ai/ogx's own configuration. It tells Claude Code how to work on ogx 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 ogx configures →

About the project

OGX is an open-source API server for building AI applications, offering OpenAI-compatible interfaces while allowing applications to use different models and infrastructure. It is used by developers who want chat, embeddings, agent orchestration, tool calling, file search, and related services behind a common API.

ogx-ai/ogx · 8,455 stars · on GitHub · ogx-ai.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to ogx-ai/ogx. 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/ogx-ai/ogx/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/ogx-ai/ogx

Made for: Claude Code.

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.

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README.md
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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.

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Per session 562 This file is loaded in full into every session.
When invoked 562 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 $0.00562 $0.00562
Opus 5.5 $0.00225 $0.00225
Sonnet 5.5 $0.00112 $0.00112
Haiku 4.5 $0.00056 $0.00056

Measured 2mo ago against content hash c4ba0eb19fe0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ogx CLAUDE.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 2mo 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.

CLAUDE.md · 30 lines

How it starts

The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.

See @AGENTS.md for guidelines on working with this codebase.

Design Context

Users

Backend engineers, application developers, and platform teams evaluating or adopting OGX for production AI workloads. They arrive from GitHub, blog posts, or search. They already use OpenAI/Anthropic SDKs and want to know: can I point my existing code at this server and have it just work? They are practical, time-constrained, and skeptical of marketing fluff. They read docs in dark terminals, IDEs, and browser tabs at all hours.

Brand Personality

Powerful, flexible, production-grade. Not flashy. Not cute. Not corporate. The kind of project where the README is better than most companies' entire docs site. Speaks in code examples, not marketing copy. Respects the developer's time above all else.

Three words: capable, direct, trustworthy.

Aesthetic Direction

  • Tone: Technical confidence without pretension. Think: well-organized CLI output, a clean terminal, a tool that does exactly what it says.
  • Theme: Dark mode default, both supported. Dark should feel like a refined terminal environment, not "glowing neon AI dashboard." Light should feel like clean paper, not washed-out gray.
  • Anti-references: Purple-to-blue gradients, animated gradient text, icon-in-colored-circle card grids, "Works with 20+ providers!" vanity stats, marquee scrolling logos, decorative mesh backgrounds. All of these are present on the current site and should be replaced.
  • Color: Move away from purple as primary. The logo uses a deep navy-to-teal gradient. The palette should feel grounded, not synthetic. Consider warm neutrals or muted earth tones as an alternative to the current purple/teal AI palette.
  • Typography: Current fonts (Space Grotesk, Inter) are on the overused list. Find something with more character that still reads as technical and trustworthy.

Design Principles

  1. Show, don't decorate. Every visual element must communicate information. No decorative gradients, glows, or animations that exist for "wow factor."
  2. Code is the hero. The most important thing on the landing page is a working code example. Make it prominent, readable, and real.
  3. Earn trust through clarity. Clean structure, consistent spacing, and direct language signal competence better than any visual flourish.
  4. Respect the scroll. Every section must justify its existence. If it doesn't answer a question the developer has, cut it.
  5. No AI slop. If a pattern appears on 50 AI-generated landing pages, it doesn't belong here. When in doubt, do less.

Read the full file on GitHub · 30 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. 2mo ago First seen · 30 lines · 562 tokens per session scan A c4ba0eb19fe0

Subscribe to this mod's changes

ogx CLAUDE.md is an instructions file published in the GitHub repository ogx-ai/ogx (8,455 stars, last pushed yesterday), licensed MIT. It adds 562 tokens to every session, about $0.0022 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 2026-08-30.

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