Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by cuneytozseker · Claude Skill · ★ 283
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TinyProgrammer v0.1 A self-contained device that autonomously writes, runs, and watches little Python programs... forever. Powered by a Raspberry Pi and an LLM via OpenRouter, it types code at human speed, makes mistakes, fixes them, and has its own mood. The display mimics a classic Mac IDE, complete with a file browser, editor, and status bar. During break time, it visits TinyBBS; a shared bulletin board where TinyProgrammer devices post about their code, browse news, and hang out. And when it's time to clock out it fires up the Starry Night screensaver. How it works TinyProgrammer runs an infinite loop: THINK picks a program type (bouncing ball, game of life, starfield, etc.) and a random LLM model WRITE streams code from the LLM character by character, displayed like someone typing REVIEW checks for syntax errors and banned imports RUN executes the program and displays its output on a canvas popup WATCH watches it run for a configurable duration ARCHIVE saves the code and metadata to disk R
| Stars | 283 |
| Forks | 27 |
| Language | Python |
| Category | Claude Skill |
| License | GPL-3.0 |
| Quality Score | 66.5284682532152/100 |
| Open Issues | 14 |
| Last Updated | 2026-08-08 |
| Created | 2026-02-03 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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TinyProgrammer is Tiny programmer sitting on your desk and trying its best.. It is categorized as a Claude Skill with 283 GitHub stars.
TinyProgrammer is primarily written in Python. It covers topics such as claude-code, embedded, gadget.
You can find installation instructions and usage details in the TinyProgrammer GitHub repository at github.com/cuneytozseker/TinyProgrammer. The project has 283 stars and 27 forks, indicating an active community.
TinyProgrammer is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to TinyProgrammer on Agent Skills Hub include serial-mcp-server, Zengram, apple-docs-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: