# CodeNib

> CodeNib — ai-codenib-codenib. Use this tool when you need to efficiently search and navigate large codebases, and require ranked results for swift identification of relevant code snippets. CodeNib solves problems of code discovery, symbol location, and static analysis, streamlining coding tasks for agents. It accepts code queries as input and outputs ranked search results and symbol navigation paths.

Canonical page: https://skillsregistry.net/skills/ai-codenib-codenib  
JSON: https://api.skillsregistry.net/v1/skills/ai-codenib-codenib

## Description

Source-linked CodeGraph exploration, ranked search, and static navigation for coding agents.

## Trust

- **Trust score (0–1):** 0.36
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.codenib%2Fcodenib)
- **Repository:** <https://github.com/sysevol-ai/CodeNib>

## 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": "ai-codenib-codenib"
    }
  }
}
```

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