claude-api

claude-api is a skill for Claude Code, Codex from tmolavi/mcp-agent-skills-hub. It costs 84 tokens per session (4,530 once invoked), scanned A, a copy of claude-api, MIT.

Development guidance for building applications with the Claude API or Anthropic software libraries.

In plain words
What is it for?
Creating applications that send requests to Claude or use Anthropic's Agent SDK.
Why use it?
It helps developers choose the right integration approach and follow the relevant language guidance.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; names the AskUserQuestion tool; positional $N argument.

Good fit Creating applications that send requests to Claude or use Anthropic's Agent SDK.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tmolavi/mcp-agent-skills-hub/claude-api
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.

Any agent
npx skills add tmolavi/mcp-agent-skills-hub --skill claude-api
Clone the repo
git clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hub

Made for: Claude Code, Codex.

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/tmolavi/mcp-agent-skills-hub/claude-api/github.svg)](https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/claude-api)
Your own site
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/claude-api"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/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.

agentmods 80×15 button for claude-api

Your own site · 80×15
<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/claude-api"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/claude-api.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,530 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod 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 $0.00084 $0.04530
Opus 5 $0.00042 $0.02265
Sonnet 5 $0.00017 $0.00906
Haiku 4.5 $0.00008 $0.00453

Measured 9d ago against content hash a9b330e107f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

claude-api scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Suggest cURL/raw HTTP examples from `curl/` and note that community SDKs may exist
Origin

This is a copy

98% identical to claude-api — 13 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.

skills/claude-api/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Building LLM-Powered Applications with Claude

This skill helps you build LLM-powered applications with Claude. Choose the right surface based on your needs, detect the project language, then read the relevant language-specific documentation.

When to Use

  • Use when building with the Claude API, Anthropic SDKs, or the Agent SDK.
  • Use when code imports anthropic, @anthropic-ai/sdk, or related Claude SDK packages.
  • Do not use for general coding work unrelated to Claude integrations.

Defaults

Unless the user requests otherwise:

For the Claude model version, please use Claude Opus 4.6, which you can access via the exact model string claude-opus-4-6. Please default to using adaptive thinking (thinking: {type: "adaptive"}) for anything remotely complicated. And finally, please default to streaming for any request that may involve long input, long output, or high max_tokens — it prevents hitting request timeouts. Use the SDK's .get_final_message() / .finalMessage() helper to get the complete response if you don't need to handle individual stream events


Language Detection

Before reading code examples, determine which language the user is working in:

  1. Look at project files to infer the language:

    • *.py, requirements.txt, pyproject.toml, setup.py, PipfilePython — read from python/
    • *.ts, *.tsx, package.json, tsconfig.jsonTypeScript — read from typescript/
    • *.js, *.jsx (no .ts files present) → TypeScript — JS uses the same SDK, read from typescript/
    • *.java, pom.xml, build.gradleJava — read from java/
    • *.kt, *.kts, build.gradle.ktsJava — Kotlin uses the Java SDK, read from java/
    • *.scala, build.sbtJava — Scala uses the Java SDK, read from java/
    • *.go, go.modGo — read from go/
    • *.rb, GemfileRuby — read from ruby/
    • *.cs, *.csprojC# — read from csharp/
    • *.php, composer.jsonPHP — read from php/

Read the full file on GitHub · 257 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. 9d ago First seen · 257 lines · 84 tokens per session scan A a9b330e107f1

Subscribe to this mod's changes

claude-api is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 16d ago), licensed MIT. It adds 84 tokens to every session and 4,530 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 98% identical to claude-api, differing in 13 lines, and is treated as a copy.

Related

Other skills, from other repositories

happyhorse-prompt-studio

Interactive prompt studio for HappyHorse 1.0 video generation. Guides users through scenario discovery with vivid examples, then assembles production-ready prompts in JP/CN/EN. Use when someone wants to create AI video content with HappyHorse but doesn't know where to start, or when they have a specific scenario and…

modelstudioai/skills · 93 tokens

prompt-builder

An interactive tool that builds a reusable, structured prompt from a description of your task. A prompt is the instruction you give an AI system.

KirKruglov/claude-skills-kit · 72 tokens

prompt-library-curator

Organize and tag your personal prompt collection into a structured markdown catalog with an index table. Use when you have accumulated saved prompts and want to structure, deduplicate, and label them for reuse. Triggers: 'organize my prompts', 'prompt library', 'tag my prompts', 'structure my prompt collection'…

KirKruglov/claude-skills-kit · 95 tokens

prompt-enhancer

TÜRKÇE AÇIKLAMA ─────────────── Bu skill, belirsiz veya eksik bir kullanıcı isteğini alır ve onu daha net, daha spesifik, daha uygulanabilir bir prompt'a dönüştürür. Agent'ın yanlış anlayarak iş yapmasını önler. "Şunu düzelt" gibi muğlak bir istek, "hangi koşulda ne bekleniyor, başarı kriteri ne" formatına çevrilir.

omergocmen/vibe-coder-kit · 0 tokens

ai-product

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.

sickn33/agentic-awesome-skills · 28 tokens

cost-aware-llm-pipeline

A planning guide for choosing language models and managing the amount of conversation context used by an AI coding workflow. It groups tasks by complexity and gives rules for avoiding context overflow during long sessions.

hashgraph-online/awesome-codex-plugins · 42 tokens