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/nolabs-ai/agentup/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.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 | $0.03948 | $0.03948 |
| Opus 5 | $0.01974 | $0.01974 |
| Sonnet 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 4d 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.
- 4d 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 (126 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 3,948 tokens to every session, about $0.0197 per session on Opus 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.
Other instructions, from other repositories
a2a-java AGENTS.md
AGENTS.md instructions for a2aproject/a2a-java, covering agents.md, project overview, build, project structure and key conventions.
MultiGen CLAUDE.md
Instructions for lingyuanli/MultiGen, covering claude.md, architecture, development commands, full stack (docker) and api (local).
agentindex CLAUDE.md
Instructions for agentidx/agentindex, covering the critical fact you must know before touching anything, what is this system?, critical paths, key conventions -- read these and database tables (important -- schema guide).
a2a-java CLAUDE.md
Claude Code instructions for a2aproject/a2a-java, a project described as: Official Java SDK for the Agent2Agent (A2A) Protocol.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.