# codewalk

> codewalk — gupta29470-codewalk-review. Use this tool when you need to analyze and understand the structure of a codebase, identify potential issues, and streamline the code review process. Codewalk solves problems related to code complexity, dependency management, and pre-merge review, providing outputs such as dependency graphs, blast radius analysis, and static analysis results through a local, stdio-based interface. It is ideal for use during pre-PR code review, debugging, and optimization tasks.

Canonical page: https://skillsregistry.net/skills/gupta29470-codewalk-review  
JSON: https://api.skillsregistry.net/v1/skills/gupta29470-codewalk-review

## Description

AI-powered codebase intelligence tool that builds a dependency graph of a git repo for structural Q&A and pre-PR code review. It exposes MCP tools for blast radius, review sessions, and static analysis, running locally over stdio with no LLM or network dependencies.

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g2gbrhjjsc)
- **Repository:** <https://github.com/gupta29470/codewalk-review>

## 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": "gupta29470-codewalk-review"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gupta29470-codewalk-review` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gupta29470-codewalk-review/pull`

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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