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/sibblegp/odai/claude-mdgit clone --depth 1 https://github.com/sibblegp/ODAIWhat 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 | $0.02113 | $0.02113 |
| Opus 5 | $0.01056 | $0.01056 |
| Sonnet 5 | $0.00423 | $0.00423 |
| Haiku 4.5 | $0.00211 | $0.00211 |
Grade A, and why
ODAI 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 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.
How it starts
The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Common Commands
Testing
# Run all tests with advanced test runner
python run_tests.py # Run all tests with parallel execution
python run_tests.py --coverage # Run tests with coverage report
python run_tests.py --file auth_service # Run specific test file
python run_tests.py --verbose # Run tests with verbose output
python run_tests.py --workers 8 # Run tests with 8 parallel workers
# Direct pytest commands
pytest tests/ # Run all tests
pytest tests/test_auth_service.py # Run specific test file
pytest tests/ --cov=services --cov-report=html # Generate HTML coverage report
pytest tests/ -xvs # Stop on first failure with verbose output
Development
# Install dependencies
pip install -r requirements.txt # 173 production dependencies
pip install -r test_requirements.txt # Testing dependencies
# Run locally (set LOCAL=true in environment)
uvicorn api:APP --reload # Run with auto-reload
uvicorn api:APP --host 0.0.0.0 --port 8080 # Run on specific host/port
# Deploy to environments
./deploy_development.sh # Deploy to dev (odai-dev-5e4fd)
./deploy_production.sh # Deploy to prod (odai-prod)
Project Overview
ODAI is a sophisticated AI assistant platform built with FastAPI, featuring:
- 30+ Third-Party Integrations: Financial, travel, communication, entertainment services
- Real-time WebSocket Support: Streaming chat responses with connection lifecycle management
- Voice Interface: Twilio integration for voice-based AI interactions
- Enterprise Security: Google Cloud KMS encryption, OAuth 2.0 authentication
- Comprehensive Testing: 700+ tests with 90%+ coverage across 67 test files
- Cloud-Native Architecture: Google App Engine with auto-scaling (2-20 instances in production)
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 · 217 lines · 2,113 tokens per session scan A 6b741c4d560e
ODAI CLAUDE.md is an instructions file published in the GitHub repository sibblegp/ODAI (21 stars, last pushed 10mo ago), licensed MIT. It adds 2,113 tokens to every session, about $0.0106 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.
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