# progresswatch

> progresswatch — progress-watch-progresswatch. Use this tool when you need to track progress of automated tasks or projects without manual intervention. Progresswatch provides self-hostable progress tracking, solving problems of visibility and monitoring for unattended processes, and integrates with git for version control. It accepts input from automated tasks and outputs tracking updates, ideal for use cases where continuous monitoring is required.

Canonical page: https://skillsregistry.net/skills/progress-watch-progresswatch  
JSON: https://api.skillsregistry.net/v1/skills/progress-watch-progresswatch

## Description

Self-hostable progress tracking for anything that runs without you.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/progress-watch/progresswatch)

## 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": "progress-watch-progresswatch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/progress-watch-progresswatch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/progress-watch-progresswatch/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