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anthropic-claude

anthropic-claude is a skill for Claude Code, Codex from jnPiyush/AgentX. It costs 67 tokens per session (2,340 once invoked), scanned A, original, Apache-2.0.

Development guidance for building applications directly with Anthropic Claude, a family of AI models, through its APIs, cloud platforms, or agent software tools.

In plain words
What is it for?
Writing Claude integrations, deploying Claude through Amazon Bedrock or Google Vertex AI, and building applications that use Claude with tools, files, shell commands, caching, extended thinking, or images.
Why use it?
It helps developers choose the appropriate Claude connection and apply the required setup for prompts, models, tools, and related features.

Skill for Claude CodeCodex

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

not rated 17repo changed 15d ago A scan SkillSpector: pass 67 tokens original Apache-2.0

Good fit Writing Claude integrations, deploying Claude through Amazon Bedrock or Google Vertex AI, and building applications that use Claude with tools, files, shell commands, caching, extended thinking, or images.

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Install with agentmods
npx agentmods add skills/jnpiyush/agentx/anthropic-claude
View source ↗ jnPiyush/AgentX agentx-silk.vercel.app
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 jnPiyush/AgentX --skill anthropic-claude
Clone the repo
git clone --depth 1 https://github.com/jnPiyush/AgentX

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 anthropic-claude

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jnpiyush/agentx/anthropic-claude"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/anthropic-claude.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,340 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00067 $0.02340
Opus 5.5 $0.00027 $0.00936
Sonnet 5.5 $0.00013 $0.00468
Haiku 4.5 $0.00007 $0.00234

Measured 15d ago against content hash 155c4d27de44, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

anthropic-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 15d 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.

.github/skills/ai-systems/anthropic-claude/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Anthropic Claude

WHEN: Writing implementation code against Anthropic Claude models directly via the Messages API, or via Amazon Bedrock / GCP Vertex AI, or via the Claude Agent SDK.

When to Use

  • Calling Claude models directly with the Anthropic Messages API
  • Deploying Claude on AWS Bedrock or GCP Vertex AI
  • Building tool-using Claude agents with the Claude Agent SDK
  • Adding prompt caching, adaptive thinking, or vision to a Claude app
  • Migrating from another LLM provider to Claude and preserving behavior

Decision Tree

Need Claude in production?
+- Direct Anthropic API?
|  - Use anthropic SDK (python or typescript)
+- AWS-hosted workload?
|  - Use Claude on Amazon Bedrock via boto3 / AWS SDK
+- GCP-hosted workload?
|  - Use Claude on Vertex AI via google-cloud-aiplatform
+- Agentic loop with tools, files, shell?
|  - Use Claude Agent SDK
+- Framework already chosen (LangChain, MAF, LangGraph)?
   - Use the provider adapter rather than raw SDK

Core Rules

  1. Always send a system prompt separately from the messages array -- Claude separates system instruction from the turn history.
  2. Pin model IDs explicitly (for example claude-opus-5-5, claude-haiku-4.5). Do not rely on aliases in production.
  3. Reserve output tokens deliberately. max_tokens covers thinking plus answer on Opus 5.5; treat it as a required cost and latency lever.
  4. Use prompt caching for any prompt prefix reused across turns -- system prompt, tool schemas, long docs, few-shot examples.
  5. Prefer structured tool use over freeform JSON in prose. Let Claude emit tool_use blocks and validate on the server side.

Model Selection (September 2026)

Model Best For Context / Output Notes
claude-opus-5-5 Agentic coding, code review, knowledge work, computer use 1M / 128K Frontier default Claude model; thinking always on
claude-opus-4.8 Pinned prior-Opus deployments 200K / 64K Allows disabled or budgeted thinking
claude-haiku-4.5 High-volume, low-latency, simple classification 200K / 8K Cheapest, fastest

Read the full file on GitHub · 205 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. 15d ago Changed · -5 lines 155c4d27de44
  2. 1mo ago Changed a6d0e1daa7fe
  3. 1mo ago First seen · 210 lines · 67 tokens per session scan A 17545282f46c

Subscribe to this mod's changes

anthropic-claude is a skill published in the GitHub repository jnPiyush/AgentX (17 stars, last pushed 2d ago), licensed Apache-2.0. It adds 67 tokens to every session and 2,340 once invoked, about $0.0003 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.

Building agentsData and AI
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