Agent skill

cli-mock-stdin

Create mock stdin utilities for interactive CLI testing.

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill cli-mock-stdin --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBashGlobGrep
Path: library/specializations/cli-mcp-development/skills/cli-mock-stdin/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# CLI Mock Stdin Create mock stdin utilities for testing. ## Generated Patterns ```typescript import { Readable } from 'stream'; export function mockStdin(inputs: string[]): Readable { let index = 0; return new Readable({ read() { if (index < inputs.length) { setTimeout(() => { this.push(inputs[index++] + '\n'); }, 10); } else { this.push(null); } }, }); } export async function runWithStdin( cmd: () => Promise<void>, inputs: string[] ): Promise<void> { const originalStdin = process.stdin; Object.defineProperty(process, 'stdin', { value: mockStdin(inputs) }); try { await cmd(); } finally { Object.defineProperty(process, 'stdin', { value: originalStdin }); } } ``` ## Target Processes - cli-unit-integration-testing - interactive-prompt-system

What's inside
Steps it walks through
  1. Generated Patterns
  2. Target Processes
Ships with 1 file
  • README.md
More from babysitter
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About this skill
What does the cli-mock-stdin skill do?

Create mock stdin utilities for interactive CLI testing.

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill cli-mock-stdin --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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