lsmcp: Instructions file for Claude Code

CLAUDE.md

lsmcp CLAUDE.md is an instructions file for Claude Code from mizchi/lsmcp. It costs 2,091 tokens per session, scanned A, original, MIT.

A set of project instructions for analysing code with lsmcp, a code-understanding tool. It defines which analysis steps and tools to use first.

In plain words
What is it for?
Use it to inspect project structure, search for code symbols, review symbol details, and follow fallback guidance when lsmcp cannot complete the analysis.
Why use it?
It gives the agent a consistent way to explore an unfamiliar codebase, find symbols such as functions and classes, and understand their definitions and references.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

This is mizchi/lsmcp's own configuration. It tells Claude Code how to work on lsmcp 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 lsmcp configures โ†’

Reuse

Borrowing it

Nothing to install: this file belongs to mizchi/lsmcp. 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/mizchi/lsmcp/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/mizchi/lsmcp

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 lsmcp CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/mizchi/lsmcp/claude-md.svg)](https://agentmods.dev/instructions/mizchi/lsmcp/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/mizchi/lsmcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mizchi/lsmcp/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,091 This file is loaded in full into every session.
When invoked 2,091 The same file โ€” it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.02091 $0.02091
Opus 5 $0.01045 $0.01045
Sonnet 5 $0.00418 $0.00418
Haiku 4.5 $0.00209 $0.00209

Measured 6d ago against content hash bd0a6eb01f56, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

lsmcp 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 6d 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 ยท 198 lines

How it starts

The opening of the file, as written. The whole thing โ€” 198 lines โ€” stays where its author put it; the contents beside it link to each section on GitHub.

CRITICAL: PRIORITIZE LSMCP TOOLS FOR CODE ANALYSIS

โš ๏ธ PRIMARY REQUIREMENT: You MUST prioritize mcp__lsmcp tools for all code analysis tasks. Standard tools should only be used as a last resort when LSMCP tools cannot accomplish the task.

๐Ÿ“‹ RECOMMENDED WORKFLOW

1. get_project_overview โ†’ Understand the codebase structure
2. search_symbols โ†’ Find specific symbols you need
3. get_symbol_details โ†’ Get comprehensive information about those symbols

๐ŸŽฏ WHEN TO USE EACH TOOL

For Initial Exploration:

  • mcp__lsmcp__get_project_overview - First tool to run when exploring a new codebase
  • mcp__lsmcp__list_dir - Browse directory structure when you need to understand file organization
  • mcp__lsmcp__get_symbols_overview - Get a high-level view of symbols in specific files

For Finding Code:

  • mcp__lsmcp__search_symbols - Primary search tool for functions, classes, interfaces, etc.
  • mcp__lsmcp__lsp_get_workspace_symbols - Alternative workspace-wide symbol search
  • mcp__lsmcp__lsp_get_document_symbols - List all symbols in a specific file

For Understanding Code:

  • mcp__lsmcp__get_symbol_details - Get complete information (type, definition, references) in one call
  • mcp__lsmcp__lsp_get_hover - Quick type information at a specific position
  • mcp__lsmcp__lsp_get_definitions - Navigate to symbol definition (use includeBody: true for full implementation)
  • mcp__lsmcp__lsp_find_references - Find all places where a symbol is used

For Code Quality:

  • mcp__lsmcp__lsp_get_diagnostics - Check for errors in a specific file
  • mcp__lsmcp__lsp_get_code_actions - Get available fixes and refactorings

For Code Modification:

  • mcp__lsmcp__lsp_rename_symbol - Safely rename symbols across the codebase
  • mcp__lsmcp__lsp_format_document - Format code according to language conventions
  • mcp__lsmcp__replace_range - Make precise text replacements
  • mcp__lsmcp__replace_regex - Pattern-based replacements
  • mcp__lsmcp__lsp_delete_symbol - Remove symbols and their references

Read the full file on GitHub ยท 198 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. 6d ago First seen ยท 198 lines ยท 2,091 tokens per session scan A bd0a6eb01f56

Subscribe to this mod's changes

lsmcp CLAUDE.md is an instructions file published in the GitHub repository mizchi/lsmcp (453 stars, last pushed 10mo ago), licensed MIT. It adds 2,091 tokens to every session, about $0.0105 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

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 ยท 6,785 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 ยท 5,182 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 ยท 5,001 tokens

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.

github/spec-kit ยท 7,104 tokens

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 ยท 7,296 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 ยท 4,469 tokens