# agentic-journal

> agentic-journal — varienos-agentic-journal. Use this tool when you need to track and manage AI coding activities, solve issues with visibility into agent performance, and streamline development workflows. It takes in activity data and git information as inputs and provides daily reports and a live dashboard as outputs. Ideal for use in local development environments where AI agents are utilized for coding tasks.

Canonical page: https://skillsregistry.net/skills/varienos-agentic-journal  
JSON: https://api.skillsregistry.net/v1/skills/varienos-agentic-journal

## Description

Local, observer-first activity journal for AI coding agents with MCP tools, CLI wrappers, daily reports, and a live dashboard.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/varienos/agentic-journal)

## 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": "varienos-agentic-journal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/varienos-agentic-journal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/varienos-agentic-journal/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