# inquisitor

> inquisitor — iamalisson-inquisitor. Use this tool when you need to efficiently solve complex problems using hypothesis-driven approaches, as it enables AI agents to probe, falsify, and escalate issues, preventing blind retries. The Inquisitor tool takes in problem statements and outputs optimized solution paths, leveraging its interface with the MCP server and git capabilities. Ideal for use cases requiring iterative testing and refinement, such as debugging and troubleshooting.

Canonical page: https://skillsregistry.net/skills/iamalisson-inquisitor  
JSON: https://api.skillsregistry.net/v1/skills/iamalisson-inquisitor

## Description

Hypothesis-driven problem solving for AI agents: probe, falsify, escalate — never blind-retry. MCP server + agent skill built on Newton, Popper, and NASA's P10

## Trust

- **Trust score (0–1):** 0.80
- **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/iamalisson/inquisitor)

## 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": "iamalisson-inquisitor"
    }
  }
}
```

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