# ctx

> Use this tool when you need to capture and analyze decision-making processes for transparency and explainability. It solves problems related to understanding complex decision flows by providing deterministic explanations and trace data retrieval. The tool accepts inputs for starting and tracking decision traces, and outputs query results and trace data for further analysis.

Canonical page: https://skillsregistry.net/skills/mhingston-ctx  
JSON: https://api.skillsregistry.net/v1/skills/mhingston-ctx

## Description

Local MCP server for decision trace capture and deterministic explanations, providing tools to start, track, and query decision traces, and resources to retrieve trace data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/udnu2adzdp)
- **Repository:** <https://github.com/mhingston/ctx>

## 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": "mhingston-ctx"
    }
  }
}
```

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