# openbash

> openbash — ai-openbash-openbash. Use this tool when you need to process and analyze large datasets related to trials, filings, customs, rentals, and rankings, and convert them into structured formats using bash programs, OCR, and SQL. It solves problems related to data extraction, conversion, and querying, providing outputs in structured formats for further analysis. Ideal for use cases involving data integration, migration, or reporting, where primary data needs to be transformed into actionable insights.

Canonical page: https://skillsregistry.net/skills/ai-openbash-openbash  
JSON: https://api.skillsregistry.net/v1/skills/ai-openbash-openbash

## Description

Primary data as bash programs: trials, filings, customs, rentals, rank, OCR and SQL.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-24

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.openbash%2Fopenbash)

## Use it

MCP endpoint published by the skill: `https://openbash.ai/api/mcp`

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": "ai-openbash-openbash"
    }
  }
}
```

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