Omnigraph is a graph database that stores operational context and coordination data in a lakehouse, combining graph traversal, vector search, and full-text search. It is designed for fleets of software agents that enrich shared knowledge on separate branches and merge reviewed changes; the catalogue add-ons help agents operate and coordinate through Omnigraph.
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/modernrelay/omnigraph/claude-mdgit clone --depth 1 https://github.com/ModernRelay/omnigraphWrote 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/modernrelay/omnigraph/claude-md)<a href="https://agentmods.dev/instructions/modernrelay/omnigraph/claude-md"><img src="https://agentmods.dev/badge/instructions/modernrelay/omnigraph/claude-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 | $0.00003 | $0.00003 |
| Opus 5 | $0.00002 | $0.00002 |
| Sonnet 5 | $0.00001 | $0.00001 |
| Haiku 4.5 | $0.00000 | $0.00000 |
Grade A, and why
omnigraph 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 5d 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.
This is a copy
100% identical to deepseek-harness CLAUDE.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
AGENTS.md
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.
- 5d ago First seen · 1 lines · 3 tokens per session scan A a54ff182c7e8
omnigraph CLAUDE.md is an instructions file published in the GitHub repository ModernRelay/omnigraph (1,085 stars, last pushed 5d ago), licensed MIT. It adds 3 tokens to every session, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to deepseek-harness CLAUDE.md, differing in 0 lines, and is treated as a copy.
Other instructions, from other repositories
m_flow AGENTS.md
AGENTS.md instructions for FlowElement-xinliuyuansu/m_flow, covering m-flow — developer & agent reference, 1. repository map, extension points, 2. local development and python backend (requires python 3.10 – 3.13).
samyama-graph CLAUDE.md
Claude Code instructions for samyama-ai/samyama-graph, covering claude.md, project overview, build & development commands, build and run tests (1814 unit tests).
LeanKG CLAUDE.md
Instructions for FreePeak/LeanKG, covering leankg - ai agent context, project overview, quick start, index a codebase and calculate impact radius.
LeanKG AGENTS.md
Instructions for FreePeak/LeanKG, covering leankg — agent context, build & test, cli quick reference, mandatory: docker mcp project paths and tool discovery prefer-order.
LeanKG GEMINI.md
Instructions for FreePeak/LeanKG, covering leankg - ai agent context, project overview, quick start, index a codebase and calculate impact radius.
kglite CLAUDE.md
Claude Code instructions for kkollsga/kglite, covering kglite — claude code conventions, build & test, architecture, the boundary principle (wrappers vs core) — summary and in-memory is the core product.