# Parism

> Use this tool when you need to reliably parse shell command outputs into structured JSON data, solving problems of error-prone text parsing and data inconsistency. It takes raw command outputs as input and produces parsed JSON data as output, with built-in support for 44+ common commands. Ideal for use cases requiring automated data extraction and processing from shell commands, while ensuring security and data integrity.

Canonical page: https://skillsregistry.net/skills/gh-jinho-von-choi-parism  
JSON: https://api.skillsregistry.net/v1/skills/gh-jinho-von-choi-parism

## Description

Parism transforms shell command outputs into structured JSON for reliable parsing. It wraps 44+ common commands (ls, ps, git, docker, kubectl) with built-in parsers, eliminating the token-heavy and error-prone task of parsing raw text. Includes security guards with command whitelisting, path restrictions, and injection pattern blocking. The original raw output is always preserved alongside parsed data.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-jinho-von-choi-parism)
- **Repository:** <https://github.com/jinho-von-choi/parism>

## 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": "gh-jinho-von-choi-parism"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-jinho-von-choi-parism` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-jinho-von-choi-parism/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