Borrowing it
Nothing to install: this file belongs to nolabs-ai/AgentUp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nolabs-ai/AgentUp/main/CLAUDE.mdgit clone --depth 1 https://github.com/nolabs-ai/AgentUpWrote 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/nolabs-ai/agentup/claude-md)<a href="https://agentmods.dev/instructions/nolabs-ai/agentup/claude-md"><img src="https://agentmods.dev/badge/instructions/nolabs-ai/agentup/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/instructions/nolabs-ai/agentup/claude-md"><img src="https://agentmods.dev/badge/instructions/nolabs-ai/agentup/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.03948 | $0.03948 |
| Opus 5.5 | $0.01579 | $0.01579 |
| Sonnet 5.5 | $0.00790 | $0.00790 |
| Haiku 4.5 | $0.00395 | $0.00395 |
Grade A, and why
AgentUp CLAUDE.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST http://localhost:8000/ \ How it starts
The opening of the file, as written. The whole thing — 432 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.
Project Overview
AgentUp is a Python framework for creating AI agents with production-ready features including security, scalability, and extensibility. It uses a configuration-driven architecture where agent behaviors, data sources, and workflows are defined through YAML configuration rather than code.
Key Features:
- Configuration-over-code approach with YAML-driven agent definitions
- Security-first design with scope-based access control and comprehensive audit logging
- Plugin ecosystem with community registry and automatic security scanning
- Multi-provider AI support (OpenAI, Anthropic, Ollama)
- MCP (Model Context Protocol) and A2A (Agent-to-Agent) protocol compliance
- Real-time operations with streaming, async processing, and push notifications
Technology Stack
- Python: >=3.11 required
- Pydantic: v2 for data validation and settings management
- Web Framework: FastAPI with Uvicorn ASGI server
- Package Manager: UV (preferred) for dependency management
- Plugin System: Pluggy-based architecture with middleware inheritance
- Authentication: OAuth2, JWT, API key support via Authlib
- Logging: Structlog with correlation IDs for distributed tracing
- Testing: Pytest with async support and comprehensive markers
- Code Quality: Ruff (linting/formatting), MyPy (type checking), Bandit (security)
Essential Development Commands
Environment Setup
uv sync --all-extras --dev # Install all dependencies including dev tools
uv pip install -e . # Install package in editable mode
Testing
# Unit tests only (fast)
uv run pytest tests/test_*.py tests/test_core/ tests/test_cli/ -v -m "not integration and not e2e and not performance"
# Integration tests
chmod +x tests/integration/int.sh && ./tests/integration/int.sh
# All tests with coverage
uv run pytest tests/ --cov=src --cov-report=html --cov-report=term-missing
# Watch mode for development
uv run pytest-watch --runner "uv run pytest tests/test_*.py tests/test_core/ tests/test_cli/ -m 'not integration and not e2e and not performance'"
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.
- 2mo ago First seen · 432 lines · 3,948 tokens per session scan A f0b46b81fe08
AgentUp CLAUDE.md is an instructions file published in the GitHub repository nolabs-ai/AgentUp (127 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 3,948 tokens to every session, about $0.0158 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
AgentUp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| AgentUp CLAUDE.mdnolabs-ai/AgentUp | Instructions file | 127 | 4mo ago | Apache-2.0 | A | 3,948 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |