# judgment-pack-runtime

> judgment-pack-runtime — judgment-pack-judgment-pack-runtime. Use this tool when you need to validate and evaluate Judgment Pack Specification (JPS) documents offline, enabling conformance validation, experimental evaluation, and corpus testing for MCP clients. It serves operations over stdio, supporting disposition and error classes for robust document assessment. Ideal for use cases requiring standardized document validation and evaluation in a controlled environment.

Canonical page: https://skillsregistry.net/skills/judgment-pack-judgment-pack-runtime  
JSON: https://api.skillsregistry.net/v1/skills/judgment-pack-judgment-pack-runtime

## Description

Serves offline document validation and evaluation operations of the Judgment Pack Specification to MCP clients over stdio, enabling agents to validate and evaluate JPS documents as tool calls. Supports conformance validation, experimental evaluation with disposition and error classes, and corpus testing.

## Trust

- **Trust score (0–1):** 0.14
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dk5khniil5)
- **Repository:** <https://github.com/Judgment-Pack/judgment-pack-runtime>

## 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": "judgment-pack-judgment-pack-runtime"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/judgment-pack-judgment-pack-runtime` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/judgment-pack-judgment-pack-runtime/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