claude-api

claude-api is a skill for Claude Code from tranhieutt/software_development_department. It costs 48 tokens per session (2,195 once invoked), scanned A, original, MIT.

A set of code patterns for Anthropic's Claude API, the programming interface for sending requests to Claude models from an application.

In plain words
What is it for?
Use it when building integrations with Anthropic's Python or TypeScript SDKs, including messages, streaming, tool use, prompt caching, cost or latency work, and Claude Agent SDK workflows.
Why use it?
It helps developers choose among Claude models and implement common API operations without having to infer the SDK structure or streaming and tool-use patterns.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Install

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.

agentmods
npx agentmods add skills/tranhieutt/software_development_department/claude-api
Any agent
npx skills add tranhieutt/software_development_department --skill claude-api
Clone the repo
git clone --depth 1 https://github.com/tranhieutt/software_development_department

Made for: Claude Code.

Wrote 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.

agentmods badge for claude-api

README.md
[![agentmods](https://agentmods.dev/badge/skills/tranhieutt/software_development_department/claude-api.svg)](https://agentmods.dev/skills/tranhieutt/software_development_department/claude-api)
Your own site
<a href="https://agentmods.dev/skills/tranhieutt/software_development_department/claude-api"><img src="https://agentmods.dev/badge/skills/tranhieutt/software_development_department/claude-api.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,195 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.02195
Opus 5 $0.00024 $0.01097
Sonnet 5 $0.00010 $0.00439
Haiku 4.5 $0.00005 $0.00219

Measured 6d ago against content hash 49a5d2d0c440, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

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 6d 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.

.claude/skills/claude-api/SKILL.md · 344 lines

How it starts

The opening of the file, as written. The whole thing — 344 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);

Read the full file on GitHub · 344 lines

Changes

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.

  1. 6d ago First seen · 344 lines · 48 tokens per session scan A 49a5d2d0c440

Subscribe to this mod's changes

claude-api is a skill published in the GitHub repository tranhieutt/software_development_department (72 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 2,195 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

verify-eval-review

Stage ④ verify sub-workflow — GSD /gsd-eval-review AI phase eval 覆盖审计 (hasaiphase 触发, 可选 conditional; pairs with plan 侧 gsd-ai-integration-phase AI-SPEC eval strategy). schemaversion: harnessed.workflow.v3 with disciplinesapplied (6 default) + toolsavailable (gsd-eval-review) + 1 phase (gate ref hasaiphase…

easyinplay/harnessed · 116 tokens

cm-deep-search

Optional power-up — detects oversized codebases/docs and suggests tobi/qmd for local semantic search. Bridges cm-continuity (working memory) with long-term document retrieval. Zero-config detection, non-intrusive suggestion.

tody-agent/codymaster · 50 tokens

optimize-for-gpu

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS…

K-Dense-AI/scientific-agent-skills · 151 tokens

fine-tuning-expert

Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning…

Jeffallan/claude-skills · 129 tokens

prompt-master

Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other…

nidhinjs/prompt-master · 78 tokens

embedding-strategies

Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.

rmyndharis/antigravity-skills · 37 tokens