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/ai-dynamo/dynamo/claude-mdgit clone --depth 1 https://github.com/ai-dynamo/dynamoWrote 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/ai-dynamo/dynamo/claude-md)<a href="https://agentmods.dev/instructions/ai-dynamo/dynamo/claude-md"><img src="https://agentmods.dev/badge/instructions/ai-dynamo/dynamo/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 | $0.00005 | $0.00005 |
| Opus 5 | $0.00003 | $0.00003 |
| Sonnet 5 | $0.00001 | $0.00001 |
| Haiku 4.5 | $0.00001 | $0.00001 |
Grade A, and why
dynamo 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 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.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 2 lines · 5 tokens per session scan A 336cc4fbf19b
dynamo CLAUDE.md is an instructions file published in the GitHub repository ai-dynamo/dynamo (7,944 stars, last pushed yesterday), with no licence file. It adds 5 tokens to every session, about $0.0000 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.
Other instructions, from other repositories
TeleFuser CLAUDE.md
Instructions for Tele-AI/TeleFuser, covering telefuser - agent guidelines, scope and sources of truth, repository map, common commands and development rules.
diffusers AGENTS.md
AGENTS.md instructions for huggingface/diffusers, a project described as: 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
diffusers CLAUDE.md
Claude Code instructions for huggingface/diffusers, a project described as: 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
ML-MLOps-Portfolio AGENTS.md
Instructions for DuqueOM/ML-MLOps-Portfolio, covering agents.md — ml service template, project identity, agent architecture, critical patterns — do not violate and ml serving invariants.
inference-gateway CLAUDE.md
Instructions for inference-gateway/inference-gateway, a project described as: An open-source, cloud-native, high-performance gateway unifying multiple LLM providers, from local solutions like Ollama to major cloud providers such as OpenAI, Groq, Cohere, Anthropic, Cloudflare and DeepSeek.
TeleFuser GEMINI.md
Instructions for Tele-AI/TeleFuser, a project described as: High-performance runtime for real-time multimodal generation and world models—streaming inference, stateful sessions, and distributed GPU execution.