# LiuHe

> LiuHe — wulun811-liuhe. Use this tool when you need to efficiently read, understand, and modify code with AI agents, solving problems such as code analysis and modification at scale. It provides a robust interface with inputs of code repositories and outputs of modified code, utilizing a Rust tree-sitter parse daemon and SQLite symbol index. Ideal for use cases requiring high-performance and concurrent code processing, such as automated coding and code review.

Canonical page: https://skillsregistry.net/skills/wulun811-liuhe  
JSON: https://api.skillsregistry.net/v1/skills/wulun811-liuhe

## Description

LLM-native code tools: 44 MCP tools for AI agents to read, understand and modify code. Rust tree-sitter parse daemon (crash-isolated), SQLite symbol index (repo map 98ms), transactional journal-backed writes, deterministic quality gates (zero LLM calls). 512MB cgroup: 128 concurrent, zero OOM. MIT.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/chjq9w68rw)
- **Repository:** <https://github.com/wulun811/LiuHe>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "wulun811-liuhe"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wulun811-liuhe` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wulun811-liuhe/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt