Borrowing it
Nothing to install: this file belongs to fw-ai/cookbook. 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/fw-ai/cookbook/main/CLAUDE.mdgit clone --depth 1 https://github.com/fw-ai/cookbookWrote 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/fw-ai/cookbook/claude-md)<a href="https://agentmods.dev/instructions/fw-ai/cookbook/claude-md"><img src="https://agentmods.dev/badge/instructions/fw-ai/cookbook/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 5.1 | $0.00270 | $0.00270 |
| Opus 5 | $0.00135 | $0.00135 |
| Sonnet 5 | $0.00054 | $0.00054 |
| Haiku 4.5 | $0.00027 | $0.00027 |
Grade A, and why
cookbook 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 7d 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
Fireworks Training Cookbook
Ready-to-run Training API recipes built on the Fireworks Python SDK (fireworks.training.sdk). Only training/ is relevant -- ignore other top-level directories.
Skills:
skills/fireworks-training/— the single training skill for managed SFT/DPO/ORPO/RFT and Training API serverless or dedicated workflows. The root skill owns routing, confirmation, and lifecycle; progressive references cover cookbook recipes, SDK internals, resume, deployment, and debugging.
Protocol changes: Any change to the Training API SDK, Tinker protocol, trainer/deployment payloads, checkpoint semantics, hotload flow, optimizer-step semantics, or recipe/SDK compatibility contract must update the relevant skill docs in skills/. Update or delete stale guidance so agents do not preserve outdated protocol behavior.
Region placement: Cookbook config classes retain an explicit region field
for compatibility with existing runners, but cookbook code must not add
deployment_region, hard-code default regions, infer region from
accelerator/shape, or copy a trainer region into a hot-load deployment. Leave
unset values unset so the backend RLOR trainer/deployment gateway can select
defaults and enforce colocation.
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.
- 7d ago First seen · 16 lines · 270 tokens per session scan A 1b9eaabb3e12
cookbook CLAUDE.md is an instructions file published in the GitHub repository fw-ai/cookbook (203 stars, last pushed today), licensed Apache-2.0. It adds 270 tokens to every session, about $0.0014 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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