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/compozy/gograph/gemini-mdgit clone --depth 1 https://github.com/compozy/gographWhat 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 | $0.01546 | $0.01546 |
| Opus 5 | $0.00773 | $0.00773 |
| Sonnet 5 | $0.00309 | $0.00309 |
| Haiku 4.5 | $0.00155 | $0.00155 |
Grade A, and why
gograph GEMINI.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 2d 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 gograph 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.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Development Guide
This file provides comprehensive guidance for working with the Compozy codebase, including development commands, standards, and workflow patterns.
Project Overview
Compozy is a workflow orchestration engine for AI agents that enables building AI-powered applications through declarative YAML configuration and a robust Go backend. It integrates with various LLM providers and supports the Model Context Protocol (MCP) for extending AI capabilities.
Development Commands
Essential Commands
# Quick setup
make deps && make start-docker && make migrate-up
# Start development server with hot reload
make dev
# Run tests (excludes E2E/slow tests)
make test
# Run all tests including E2E
make test
# Format and lint code (ALWAYS run before committing)
make fmt && make lint
# Run specific test
go test -v ./engine/task -run TestExecutor_Execute
Database Commands
make migrate-up # Apply migrations
make migrate-down # Rollback last migration
make migrate-status # Check migration status
make reset-db # Reset database completely
Architecture & Project Structure
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.
- 2d ago First seen · 129 lines · 1,546 tokens per session scan A 4b097c0775cd
gograph GEMINI.md is an instructions file published in the GitHub repository compozy/gograph (9 stars, last pushed 1y ago), licensed MIT. It adds 1,546 tokens to every session, about $0.0077 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to gograph CLAUDE.md, differing in 0 lines, and is treated as a copy.
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