Borrowing it
Nothing to install: this file belongs to willianpinho/large-file-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/willianpinho/large-file-mcp/master/CLAUDE.mdgit clone --depth 1 https://github.com/willianpinho/large-file-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/willianpinho/large-file-mcp/claude-md)<a href="https://agentmods.dev/instructions/willianpinho/large-file-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/willianpinho/large-file-mcp/claude-md/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.
<a href="https://agentmods.dev/instructions/willianpinho/large-file-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/willianpinho/large-file-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00606 | $0.00606 |
| Opus 5 | $0.00303 | $0.00303 |
| Sonnet 5 | $0.00121 | $0.00121 |
| Haiku 4.5 | $0.00061 | $0.00061 |
Grade A, and why
large-file-mcp 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 8d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Large File MCP - MCP Server for Large File Handling
Published npm package (
@willianpinho/large-file-mcp) providing MCP tools for reading, searching, and navigating large files that exceed LLM context limits.
Tech Stack
- Language: TypeScript 5.9+, Node.js 18+
- Framework: MCP SDK 1.28+
- Testing: Jest 30 (with ts-jest)
- Build: tsc (TypeScript compiler)
- Linting: ESLint 9 (flat config)
- Package Manager: pnpm
- Package: npm (
@willianpinho/large-file-mcp) - CI/CD: GitHub Actions with OIDC trusted publisher
Commands
pnpm install
pnpm run build # Compile TypeScript
pnpm run dev # Watch mode
pnpm test # Jest tests
pnpm run test:coverage # Coverage report
pnpm run lint # ESLint 9
# Publish (automated via GitHub Actions OIDC)
npm version patch|minor|major
npm publish --access public
MCP Tools Provided
| Tool | Purpose |
|---|---|
read_large_file_chunk |
Read file chunks with intelligent splitting |
search_in_large_file |
Regex search with context lines |
get_file_structure |
File metadata and line statistics |
navigate_to_line |
Jump to specific line with context |
get_file_summary |
Statistical summary (lines, chars, words) |
stream_large_file |
Stream file in byte-based chunks |
Architecture
src/
├── index.ts # MCP server entry point (stdio transport)
├── server.ts # Tool registration + request handlers
├── fileHandler.ts # Thin barrel — FileHandler delegates to src/file-handler/*
├── file-handler/
│ ├── metadata.ts # File type detection, metadata, existence/readability checks
│ ├── reader.ts # Chunked reading, line-range reading, line navigation
│ ├── search.ts # Regex/plain-text pattern search with context lines
│ ├── analysis.ts # File structure and content statistics
│ └── stream.ts # Byte-based streaming of large files
├── cacheManager.ts # LRU + TTL cache
└── types.ts # TypeScript types
__tests__/ # Jest test suites
dist/ # Compiled output (npm entry)
Dockerfile # Container build
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.
- 8d ago First seen · 73 lines · 606 tokens per session scan A 937ef2b8ac47
large-file-mcp CLAUDE.md is an instructions file published in the GitHub repository willianpinho/large-file-mcp (19 stars, last pushed 1mo ago), licensed MIT. It adds 606 tokens to every session, about $0.0030 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.
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 — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.