Borrowing it
Nothing to install: this file belongs to mit-network/everything-claude-code. 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/mit-network/everything-claude-code/main/.agents/skills/claude-api/SKILL.mdgit clone --depth 1 https://github.com/mit-network/everything-claude-codeWrote 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/mit-network/everything-claude-code/claude-api)<a href="https://agentmods.dev/skills/mit-network/everything-claude-code/claude-api"><img src="https://agentmods.dev/badge/skills/mit-network/everything-claude-code/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/mit-network/everything-claude-code/claude-api"><img src="https://agentmods.dev/badge/skills/mit-network/everything-claude-code/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 | $0.02119 |
| Opus 5.5 | $0.00021 | $0.00848 |
| Sonnet 5.5 | $0.00011 | $0.00424 |
| Haiku 4.5 | $0.00005 | $0.00212 |
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 1mo 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
89% identical to claude-api — 34 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 — 338 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 4.6 | claude-opus-4-6 |
Complex reasoning, architecture, research |
| Sonnet 4.6 | claude-sonnet-4-6 |
Balanced coding, most development tasks |
| Haiku 4.5 | claude-haiku-4-5-20251001 |
Fast responses, high-volume, cost-sensitive |
Default to Sonnet 4.6 unless the task requires deep reasoning (Opus) or speed/cost optimization (Haiku).
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-4-6",
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-4-6",
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-4-6",
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-4-6",
max_tokens: 1024,
messages: [
{ role: "user", content: "Explain async/await in TypeScript" }
],
});
console.log(message.content[0].text);
What ships with it
1 file 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.
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.
- 1mo ago First seen · 338 lines · 53 tokens per session scan A 5092a3ce7e6b
claude-api is a skill published in the GitHub repository mit-network/everything-claude-code (88 stars, last pushed 6mo ago), licensed MIT. It adds 53 tokens to every session and 2,119 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to claude-api, differing in 34 lines, and is treated as a copy.
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