Embedded-AI-Harness: AI Closed-Loop Programming for embedded systems — the AI writes, flashes, and tests firmware on real hardware

by SensorsIot · MCP Server · ★ 187

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

How to install Embedded-AI-Harness

git clone https://github.com/SensorsIot/Embedded-AI-Harness.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 64/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

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.

aiclaudeclosed-loopembeddedesp32mcpraspberry-pitddtest-automation

Quick Facts

Stars187
Forks58
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score64/100
Open Issues34
Last Updated2026-10-09
Created2026-01-28
Platformsclaude-code, mcp, python
Est. Tokens~16k

About Embedded-AI-Harness

The Harness — AI Closed-Loop Programming for Embedded Systems Spec to silicon, hands off. A horse is strong, fast, and willing — and useless for heavy loads until you harness it. The harness is not a part of the horse and not a part of the cart: it is the coupling that turns raw strength into pulled weight. An AI is the same.

Compatible Skills

These tools work well together with Embedded-AI-Harness for enhanced workflows:

  • TinyProgrammer — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (71%)
  • embeddedskills — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • garycli — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • searchbox — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
  • esp32-claude-workbench — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

Embedded-AI-Harness alternative? Top 6 similar tools

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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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