# Gjalla

> Use this tool when you need to monitor and control AI-driven code changes, ensuring alignment and oversight in agentic engineering workflows. Gjalla provides architecture visibility, managing code introductions and modifications made by AI coding agents, and supports MCP protocol for seamless integration. Ideal for teams seeking to accelerate development while maintaining governance and compliance.

Canonical page: https://skillsregistry.net/skills/gjalla  
JSON: https://api.skillsregistry.net/v1/skills/gjalla

## Description

Provides architecture visibility and control for teams using AI coding agents. Monitors and manages code changes introduced by agentic engineering workflows, helping teams maintain alignment and oversight as agents accelerate development. Distributed as a PyPI package with built-in MCP protocol support.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gjalla)

## 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": "gjalla"
    }
  }
}
```

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