Borrowing it
Nothing to install: this file belongs to scarr7981/cargoshipper-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/scarr7981/cargoshipper-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/scarr7981/cargoshipper-mcpWrote 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.
[](https://agentmods.dev/instructions/scarr7981/cargoshipper-mcp/claude-md)<a href="https://agentmods.dev/instructions/scarr7981/cargoshipper-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/scarr7981/cargoshipper-mcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.03877 | $0.03877 |
| Opus 5 | $0.01938 | $0.01938 |
| Sonnet 5 | $0.00775 | $0.00775 |
| Haiku 4.5 | $0.00388 | $0.00388 |
Grade A, and why
cargoshipper-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories โ prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency โ 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.
How it starts
The opening of the file, as written. The whole thing โ 455 lines โ stays where its author put it; the contents beside it link to each section on GitHub.
CargoShipper MCP Server
IMPORTANT: When restarting or reconnecting, always read RESTART.md first for current status and context.
Project Overview
CargoShipper is an MCP (Model Context Protocol) server designed to extend Claude's capabilities by providing direct interfaces to:
- Docker: Complete container and image management operations
- Digital Ocean API: Droplet, networking, and infrastructure management
- CloudFlare API: DNS, security, and CDN configuration
This MCP server acts as a unified gateway, eliminating the need for Claude to handle complex API negotiations and providing straightforward, reproducible interactions with these critical infrastructure technologies.
โ ๏ธ IMPORTANT SAFETY WARNING
USE AT YOUR OWN RISK: This tool gives AI models direct access to infrastructure management APIs that can:
- Create, modify, or delete cloud resources (potentially incurring costs)
- Modify DNS settings (potentially breaking domains)
- Manage Docker containers and images (potentially affecting running services)
- Execute destructive operations on your infrastructure
AI models may:
- Misinterpret instructions and perform unintended operations
- Make mistakes in resource configuration or deletion
- Execute multiple operations when only one was intended
- Struggle with complex multi-step procedures requiring human judgment
Recommended safety measures:
- Use dedicated development/testing accounts with spending limits
- Implement least-privilege API tokens with restricted permissions
- Monitor all operations through cloud provider dashboards
- Test operations in isolated environments first
- Keep backups of critical configurations and data
๐ค VIBECODE FRIENDLY PROJECT
This project welcomes contributions from AI/LLM agents! Pull requests from Claude, GPT, and other AI models are actively encouraged.
Guidelines for AI contributors:
- Follow the existing code patterns and documentation standards
- Include comprehensive commit messages explaining changes
- Test your changes thoroughly before submitting PRs
- Use the MCP tools available in this environment for development and testing
- Refer to existing code style and architectural decisions
- Update documentation when adding new features
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.
- 7d ago First seen ยท 455 lines ยท 3,877 tokens per session scan A 0a95f42414ef
cargoshipper-mcp CLAUDE.md is an instructions file published in the GitHub repository scarr7981/cargoshipper-mcp (1 stars, last pushed 11mo ago), licensed MIT. It adds 3,877 tokens to every session, about $0.0194 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 2026-08-31.
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.
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.
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).
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).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart โ add a new integration in 5 steps, integration architecture and integrationmanifest โ file tracking.