# stackglass

> stackglass — theworker02-stackglass. Use this tool when you need to enhance AI-assisted development with observability and verification, providing evidence about code state, tests, and history to inform agent decision-making. It solves problems of uncertainty and guesswork in AI-driven coding by supplying comprehensive data on code configuration, contracts, and documentation. Ideal for use with git, Stackglass improves agent accuracy and efficiency in coding tasks.

Canonical page: https://skillsregistry.net/skills/theworker02-stackglass  
JSON: https://api.skillsregistry.net/v1/skills/theworker02-stackglass

## Description

Stackglass is the observability and verification layer for AI-assisted development.  Cursor writes and reasons about code. Stackglass gives that agent evidence about state, tests, failures, history, configuration, contracts, and documentation — so it does not have to guess.

## 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
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/theworker02/stackglass)

## 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": "theworker02-stackglass"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/theworker02-stackglass` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/theworker02-stackglass/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