# jr

> jr — kmoneil-jr. Use this tool when you need to interact with Jira from scripts or automated agents, requiring precise and reliable output. It solves problems of silent data truncation and approximate answers by failing instead of guessing, ensuring accurate results for Jira Cloud and Data Center tasks. The tool takes Jira queries as input and outputs a versioned contract, with a simple interface via a single Go binary.

Canonical page: https://skillsregistry.net/skills/kmoneil-jr  
JSON: https://api.skillsregistry.net/v1/skills/kmoneil-jr

## Description

A Jira CLI whose output is a versioned contract, built for scripts and agents first. It fails rather than guess: no silent truncation, no approximate answers. Jira Cloud and Data Center, built-in MCP server, one Go binary.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/kmoneil/jr)

## 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": "kmoneil-jr"
    }
  }
}
```

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