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 loulanyue/awesome-claude-notes --skill claude-apigit clone --depth 1 https://github.com/loulanyue/awesome-claude-notesWrote 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/loulanyue/awesome-claude-notes/claude-api)<a href="https://agentmods.dev/skills/loulanyue/awesome-claude-notes/claude-api"><img src="https://agentmods.dev/badge/skills/loulanyue/awesome-claude-notes/claude-api/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/loulanyue/awesome-claude-notes/claude-api"><img src="https://agentmods.dev/badge/skills/loulanyue/awesome-claude-notes/claude-api.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 | $0.00053 | $0.02208 |
| Opus 5 | $0.00026 | $0.01104 |
| Sonnet 5 | $0.00011 | $0.00442 |
| Haiku 4.5 | $0.00005 | $0.00221 |
Grade A, and why
claude-api 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 8d 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
86% identical to claude-api — 9 lines 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 — 347 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude API
Build applications with the Anthropic Claude API and SDKs.
When to Activate
- Building applications that call the Claude API
- Code imports
anthropic(Python) or@anthropic-ai/sdk(TypeScript) - User asks about Claude API patterns, tool use, streaming, or vision
- Implementing agent workflows with Claude Agent SDK
- Optimizing API costs, token usage, or latency
Model Selection
| Model | ID | Best For |
|---|---|---|
| Opus 4.1 | claude-opus-4-1 |
Complex reasoning, architecture, research |
| Sonnet 4 | claude-sonnet-4-0 |
Balanced coding, most development tasks |
| Haiku 3.5 | claude-3-5-haiku-latest |
Fast responses, high-volume, cost-sensitive |
Default to Sonnet 4 unless the task requires deep reasoning (Opus) or speed/cost optimization (Haiku). For production, prefer pinned snapshot IDs over aliases.
Python SDK
Installation
pip install anthropic
Basic Message
import anthropic
client = anthropic.Anthropic() # reads ANTHROPIC_API_KEY from env
message = client.messages.create(
model="claude-sonnet-4-0",
max_tokens=1024,
messages=[
{"role": "user", "content": "Explain async/await in Python"}
]
)
print(message.content[0].text)
Streaming
with client.messages.stream(
model="claude-sonnet-4-0",
max_tokens=1024,
messages=[{"role": "user", "content": "Write a haiku about coding"}]
) as stream:
for text in stream.text_stream:
print(text, end="", flush=True)
System Prompt
message = client.messages.create(
model="claude-sonnet-4-0",
max_tokens=1024,
system="You are a senior Python developer. Be concise.",
messages=[{"role": "user", "content": "Review this function"}]
)
TypeScript SDK
Installation
npm install @anthropic-ai/sdk
Basic Message
import Anthropic from "@anthropic-ai/sdk";
const client = new Anthropic(); // reads ANTHROPIC_API_KEY from env
const message = await client.messages.create({
model: "claude-sonnet-4-0",
max_tokens: 1024,
messages: [
{ role: "user", content: "Explain async/await in TypeScript" }
],
});
console.log(message.content[0].text);
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.
- 8d ago First seen · 347 lines · 53 tokens per session scan A e4c8a90e52dc
claude-api is a skill published in the GitHub repository loulanyue/awesome-claude-notes (270 stars, last pushed 8d ago), licensed MIT. It adds 53 tokens to every session and 2,208 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to claude-api, differing in 9 lines, and is treated as a copy.
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