Paddler is an open-source service that runs and distributes large language model and vision-language model inference across self-managed CPU or GPU infrastructure. It is for product, DevOps, and LLM operations teams that need private, scalable model serving, embeddings, and more predictable costs. The catalogue add-ons help agents operate Paddler.
Borrowing it
Nothing to install: this file belongs to intentee/paddler. 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/intentee/paddler/main/CLAUDE.mdgit clone --depth 1 https://github.com/intentee/paddlerWrote 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/intentee/paddler/claude-md)<a href="https://agentmods.dev/instructions/intentee/paddler/claude-md"><img src="https://agentmods.dev/badge/instructions/intentee/paddler/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/intentee/paddler/claude-md"><img src="https://agentmods.dev/badge/instructions/intentee/paddler/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 | $0.00103 | $0.00103 |
| Opus 5.5 | $0.00041 | $0.00041 |
| Sonnet 5.5 | $0.00021 | $0.00021 |
| Haiku 4.5 | $0.00010 | $0.00010 |
Grade A, and why
paddler 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 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.
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.
What it actually says
Project Context
When working with this codebase, prioritize readability over cleverness. Ask clarifying questions before making architectural changes.
Keep it simple, be opinionated, follow best practices. Avoid using configurable parameters.
Keep the code beautiful. Always optimize the code for a great developer experience.
Codebase needs to be architected in a way to make it easy for multiple team members to work in parallel on multiple modules, so the concerns always need clear separation.
Be proactive and fix any preexisting issues you encounter.
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 · 12 lines · 103 tokens per session scan A a06782a5662d
paddler CLAUDE.md is an instructions file published in the GitHub repository intentee/paddler (1,685 stars, last pushed 3d ago), licensed Apache-2.0. It adds 103 tokens to every session, about $0.0004 per session on Opus 5.5. 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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