sample-agent-skills-for-builders: Instructions file for Claude Code

CLAUDE.md

sample-agent-skills-for-builders CLAUDE.md is an instructions file for Claude Code from aws-samples/sample-agent-skills-for-builders. It costs 384 tokens per session, scanned A, original, Apache-2.0.

Repository-specific instructions for Claude Code, an AI coding assistant, describing the layout and maintenance rules for a collection of reusable skills.

In plain words
What is it for?
Use them when creating or editing skills in the repository, checking skill metadata, or reviewing its directory and documentation conventions.
Why use it?
They help the assistant follow the repository's documented format instead of inventing different folders, headings, or workflows.

Instructions file for Claude Code ✓ vendor

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is aws-samples/sample-agent-skills-for-builders's own configuration. It tells Claude Code how to work on sample-agent-skills-for-builders itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything sample-agent-skills-for-builders configures →

About the project

Sample Agent Skills for Builders is a collection of reusable skills that extend AI coding agents with AWS, CDK, security, testing, and engineering workflows. Developers can install the skills for practical AWS development tasks or use the repository as a model for creating their own agent skills. The catalogue entries are skills and instructions from this collection.

aws-samples/sample-agent-skills-for-builders · 47 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to aws-samples/sample-agent-skills-for-builders. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/aws-samples/sample-agent-skills-for-builders/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-agent-skills-for-builders

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 sample-agent-skills-for-builders CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/aws-samples/sample-agent-skills-for-builders/claude-md.svg)](https://agentmods.dev/instructions/aws-samples/sample-agent-skills-for-builders/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/aws-samples/sample-agent-skills-for-builders/claude-md"><img src="https://agentmods.dev/badge/instructions/aws-samples/sample-agent-skills-for-builders/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 384 This file is loaded in full into every session.
When invoked 384 The same file — it is already loaded in full.
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 $0.00384 $0.00384
Opus 5 $0.00192 $0.00192
Sonnet 5 $0.00077 $0.00077
Haiku 4.5 $0.00038 $0.00038

Measured 7d ago against content hash b09a5c82daf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

sample-agent-skills-for-builders CLAUDE.md 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 7d 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.md · 43 lines

What it actually says

CLAUDE.md

Notes for Claude Code working inside this repository. For the general skill spec (frontmatter, directory layout, conventions), read AGENTS.md — this file only covers repo-local behaviors that agents need on top of the spec.

Repo shape

  • skills/<kebab-case-name>/SKILL.md — one skill per directory.
  • skills/<name>/references/ — long-form docs the skill pulls in on demand.
  • skills/<name>/scripts/ — automation the skill can invoke.
  • AGENTS.md — canonical spec. Treat it as the source of truth over any loose conventions inferred from existing skills.

Useful one-liners

# list skills
ls skills/

# show every SKILL.md's frontmatter
for f in skills/*/SKILL.md; do echo "### $f"; awk '/^---$/{c++; next} c==1' "$f"; done

# find all section headings across skills (spot structural drift)
grep -nE '^## ' skills/*/SKILL.md

When creating a skill

Follow AGENTS.md exactly — including the template headings (When to Apply, How It Works, Usage, References). Don't invent alternative heading names; structural consistency across skills is a feature of this repo.

When editing an existing skill

  • Don't shorten the description frontmatter field — it's the only text an agent sees at startup when deciding whether to load the skill, so richer trigger phrases help discovery.
  • Keep SKILL.md under ~500 lines; move detail into references/.
  • If you rename a section heading, grep for anchor links first: grep -rn '#section-name' .
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. 7d ago First seen · 43 lines · 384 tokens per session scan A b09a5c82daf6

Subscribe to this mod's changes

sample-agent-skills-for-builders CLAUDE.md is an instructions file published in the GitHub repository aws-samples/sample-agent-skills-for-builders (47 stars, last pushed 10d ago), licensed Apache-2.0. It adds 384 tokens to every session, about $0.0019 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 instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,182 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens