claude

claude is a skill for Claude Code, Codex from G1Joshi/Agent-Skills. It costs 46 tokens per session (1,433 once invoked), scanned A, original, MIT.

A set of Anthropic AI models for analysis and coding, with options aimed at different balances of capability, speed, and cost. It can also produce standalone items such as React components or SVGs.

In plain words
What is it for?
Use it for coding, reviewing large PDFs or repositories, generating React or SVG content, and computer interaction through an API.
Why use it?
It helps analyse long documents or codebases and generate code or other content from instructions. Different model sizes let you choose between deeper analysis and faster responses.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for coding, reviewing large PDFs or repositories, generating React or SVG content, and computer interaction through an API.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/g1joshi/agent-skills/claude
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 G1Joshi/Agent-Skills --skill claude
Clone the repo
git clone --depth 1 https://github.com/G1Joshi/Agent-Skills

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/g1joshi/agent-skills/claude/github.svg)](https://agentmods.dev/skills/g1joshi/agent-skills/claude)
Your own site
<a href="https://agentmods.dev/skills/g1joshi/agent-skills/claude"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/claude/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/g1joshi/agent-skills/claude"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/claude.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,433 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00046 $0.01433
Opus 5.5 $0.00018 $0.00573
Sonnet 5.5 $0.00009 $0.00287
Haiku 4.5 $0.00005 $0.00143

Measured 23d ago against content hash 00a568882c8b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

claude 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 23d 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.

skills/ai-ml/claude/SKILL.md · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude

Claude (by Anthropic) is OpenAI's main competitor. It is famous for its large context window (200k+), low hallucination rates, and "Artifacts" UI.

When to Use

  • Advanced Reasoning & Complex Analysis: Claude 3.5 Sonnet / Opus for intricate coding, mathematics, and logic.
  • Prompt Caching on Large Contexts: Slashing latency and cost by up to 90% for repeated documentation, codebases, and books.
  • Reliable Tool & Function Calling: Multi-turn agentic workflows invoking APIs and external tools with strict schema adherence.
  • Vision & Document Intelligence: Transcribing, analyzing, and extracting data from charts, screenshots, and PDFs.

Quick Start

import anthropic

client = anthropic.Anthropic()

message = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    system="You are an expert software architect.",
    messages=[
        {"role": "user", "content": "Explain event sourcing in 2 sentences."}
    ]
)

print(message.content[0].text)

Core Concepts

Tool Use (Function Calling) with Anthropic SDK

Exposing structured tools to Claude for agentic execution:

import os
from anthropic import Anthropic

client = Anthropic(api_key=os.environ.get("ANTHROPIC_API_KEY"))

tools = [
    {
        "name": "lookup_user_balance",
        "description": "Retrieve current account balance and active currency for a customer.",
        "input_schema": {
            "type": "object",
            "properties": {
                "customer_id": {"type": "string", "description": "The unique customer UUID"},
            },
            "required": ["customer_id"],
        },
    }
]

response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    tools=tools,
    messages=[
        {"role": "user", "content": "What is the balance for customer cust_98234?"}
    ]
)

# Inspect tool use request
for content in response.content:
    if content.type == "tool_use":
        print(f"Tool Requested: {content.name}")
        print(f"Arguments: {content.input}")

Read the full file on GitHub · 188 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. 23d ago Changed · +5 lines 00a568882c8b
  2. 27d ago Changed · +136 lines · +28 tokens per session 7f30fe4ebc1a
  3. 1mo ago First seen · 47 lines · 18 tokens per session scan A f8ec51995ae8

Subscribe to this mod's changes

claude is a skill published in the GitHub repository G1Joshi/Agent-Skills (15 stars, last pushed 24d ago), licensed MIT. It adds 46 tokens to every session and 1,433 once invoked, about $0.0002 per session on Opus 5.5. 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.

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