Borrowing it
Nothing to install: this file belongs to llama-farm/llamafarm. 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/llama-farm/llamafarm/main/CLAUDE.mdgit clone --depth 1 https://github.com/llama-farm/llamafarmWrote 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/llama-farm/llamafarm/claude-md)<a href="https://agentmods.dev/instructions/llama-farm/llamafarm/claude-md"><img src="https://agentmods.dev/badge/instructions/llama-farm/llamafarm/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/llama-farm/llamafarm/claude-md"><img src="https://agentmods.dev/badge/instructions/llama-farm/llamafarm/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 | $0.00542 | $0.00542 |
| Opus 5 | $0.00271 | $0.00271 |
| Sonnet 5 | $0.00108 | $0.00108 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
llamafarm 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 10d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LlamaFarm
Modular AI development framework. Build AI apps locally with YAML configs, CLI, and your own data.
Monorepo overview
This repository consists of multiple components
CLI
Description: Primary user interface for LlamaFarm. Orchestrates local service lifecycle (starting/stopping server, RAG, and runtime processes), handles project initialization (lf init), provides interactive chat sessions (lf chat), and coordinates model downloads.
Tech Stack: Go 1.24+, Cobra
Directory: cli/
Server
Description: Central API gateway that coordinates all LlamaFarm services. Routes inference requests to the Universal Runtime, dispatches RAG tasks to Celery workers, and serves the Designer UI in production.
Tech Stack: Python 3.12+, FastAPI, Celery
Directory: server/
RAG
Description: Celery-based worker for retrieval-augmented generation. Handles document ingestion, embedding generation, vector storage, and semantic search.
Tech Stack: Python 3.11+, LlamaIndex, ChromaDB, Celery
Directory: rag/
Universal Runtime
Description: Local ML inference server with OpenAI-compatible API. Supports text generation, embeddings, OCR, anomaly detection, and classification across HuggingFace and GGUF models.
Tech Stack: Python 3.11+, transformers, torch, llamafarm-llama (LlamaFarm's own llama.cpp bindings)
Directory: runtimes/universal/
Designer
Description: Browser-based project workbench for building AI applications. Provides config editing, chat testing, dataset management, RAG configuration, and model selection.
Tech Stack: TypeScript, React, Vite, TanStack Query
Directory: designer/
Build Description: Nx monorepo configuration for cross-project builds and development workflows. Tech Stack: Nx workspace Directory: (root)
See .claude/rules/ for detailed guidelines.
Building and Running
- Use the
nxpackage to build and run projects within this monorepo. - Check the
project.jsonfiles at the repo root and project directories for available scripts
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.
- 10d ago First seen · 53 lines · 542 tokens per session scan A cceed3843f93
llamafarm CLAUDE.md is an instructions file published in the GitHub repository llama-farm/llamafarm (838 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 542 tokens to every session, about $0.0027 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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