tiny-engineer: A small desktop robot that brings an AI coding assistant to life, physically acting out when it reads files

by jamro · Agent Tool · ★ 1.1k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentsantigravityclaude-codecursoresp32

Quick Facts

Stars1,058
Forks130
LanguageC++
CategoryAgent Tool
Quality Score67/100
Open Issues8
Last Updated2026-11-04
Created2026-08-21
Platformsclaude-code
Est. Tokens~18k

About tiny-engineer

Tiny Engineer Give your AI coding agent a body. Tiny Engineer is an open-source, 3D-printable desktop robot that physically acts out what an AI coding agent is doing: reading, thinking, coding, finishing tasks. It runs on an ESP32 over Wi-Fi and exposes a simple REST API, so any tool that can make an HTTP request can drive it.

Compatible Skills

These tools work well together with tiny-engineer for enhanced workflows:

  • AntigravityProxyLauncher — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • headroom — semantic(0.18)+complementary+rare_topics+similar_pop+shared_platform (51%)
  • AGENTS-COLLECTION — semantic(0.27)+complementary+similar_pop+shared_platform (49%)

tiny-engineer alternative? Top 6 similar tools

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  • memorix by AVIDS2 · ⭐ 898

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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