# the-teacher

> Use this tool when you need to structure learning and verify progress through a rigorous, adversarial testing process. It solves problems of uncertain learning outcomes by defining clear, observable goals and evaluating progress through a teach-lab-test-gate loop. The tool takes in learning goals and claims, and outputs independently graded assessments of genuine progress.

Canonical page: https://skillsregistry.net/skills/outlast85-the-teacher  
JSON: https://api.skillsregistry.net/v1/skills/outlast85-the-teacher

## Description

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pnkpmnb70m)
- **Repository:** <https://github.com/outlast85/the-teacher>

## 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": "outlast85-the-teacher"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/outlast85-the-teacher` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/outlast85-the-teacher/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