# Shell History

> Use this tool when you need to efficiently search, recall, and analyze past shell commands, solving problems like lost commands and repetitive typing. It provides programmatic access to shell history, allowing integration with other tools and seamless switching between shells like Bash and Zsh. Ideal for developers and power users seeking to streamline their command line workflow.

Canonical page: https://skillsregistry.net/skills/rajpdus-shell-history  
JSON: https://api.skillsregistry.net/v1/skills/rajpdus-shell-history

## Description

A powerful shell command history exploration tool that allows programmatic access, searching, and retrieval of past shell commands through MCP. Built to integrate seamlessly with Cursor and other MCP-compatible tools, it provides an easy way to access and manage command history across different shells like Bash and Zsh. Useful for developers and power users who want to quickly search, recall, and analyze their command line interactions.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rajpdus-shell-history)
- **Repository:** <https://github.com/rajpdus/mcp-histfile>

## 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": "rajpdus-shell-history"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rajpdus-shell-history` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rajpdus-shell-history/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
