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 skills add godmakereth/vibe-coding-tw --skill claude-cookbooksgit clone --depth 1 https://github.com/godmakereth/vibe-coding-twWrote 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/skills/godmakereth/vibe-coding-tw/claude-cookbooks)<a href="https://agentmods.dev/skills/godmakereth/vibe-coding-tw/claude-cookbooks"><img src="https://agentmods.dev/badge/skills/godmakereth/vibe-coding-tw/claude-cookbooks/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/skills/godmakereth/vibe-coding-tw/claude-cookbooks"><img src="https://agentmods.dev/badge/skills/godmakereth/vibe-coding-tw/claude-cookbooks.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 | $0.00041 | $0.01971 |
| Opus 5 | $0.00020 | $0.00986 |
| Sonnet 5 | $0.00008 | $0.00394 |
| Haiku 4.5 | $0.00004 | $0.00197 |
Grade A, and why
claude-cookbooks 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 9d 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.
This is a copy
97% identical to claude-cookbooks — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Cookbooks Skill
Comprehensive code examples and guides for building with Claude AI, sourced from the official Anthropic cookbooks repository.
When to Use This Skill
This skill should be triggered when:
- Learning how to use Claude API
- Implementing Claude integrations
- Building applications with Claude
- Working with tool use and function calling
- Implementing multimodal features (vision, image analysis)
- Setting up RAG (Retrieval Augmented Generation)
- Integrating Claude with third-party services
- Building AI agents with Claude
- Optimizing prompts for Claude
- Implementing advanced patterns (caching, sub-agents, etc.)
Quick Reference
Basic API Usage
import anthropic
client = anthropic.Anthropic(api_key="your-api-key")
# Simple message
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
messages=[{
"role": "user",
"content": "Hello, Claude!"
}]
)
Tool Use (Function Calling)
# Define a tool
tools = [{
"name": "get_weather",
"description": "Get current weather for a location",
"input_schema": {
"type": "object",
"properties": {
"location": {"type": "string", "description": "City name"}
},
"required": ["location"]
}
}]
# Use the tool
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
tools=tools,
messages=[{"role": "user", "content": "What's the weather in San Francisco?"}]
)
Vision (Image Analysis)
# Analyze an image
response = client.messages.create(
model="claude-3-5-sonnet-20241022",
max_tokens=1024,
messages=[{
"role": "user",
"content": [
{
"type": "image",
"source": {
"type": "base64",
"media_type": "image/jpeg",
"data": base64_image
}
},
{"type": "text", "text": "Describe this image"}
]
}]
)
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/capabilities.md 2.9 KB
- references/CONTRIBUTING.md 6.1 KB
- references/index.md 961 B
- references/main_readme.md 5.7 KB
- references/multimodal.md 1.8 KB
- references/patterns.md 688 B
- references/README.md 5.7 KB
- references/third_party.md 1.3 KB
- references/tool_use.md 1.7 KB
- scripts/memory_tool.py 13 KB runs code
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.
- 9d ago First seen · 314 lines · 41 tokens per session scan A 52c3d65a4212
claude-cookbooks is a skill published in the GitHub repository godmakereth/vibe-coding-tw (48 stars, last pushed 8mo ago), licensed MIT. It adds 41 tokens to every session and 1,971 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to claude-cookbooks, differing in 1 line, and is treated as a copy.
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