couch-tv: Your own Google TV home screen and phone remote, with an optional Claude assistant

by Seagey · Agent Tool · ★ 110

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

How to install couch-tv

git clone https://github.com/Seagey/couch-tv.git && cd couch-tv
git clone https://github.com/Seagey/couch-tv.git

Taken from the project's README on GitHub. Check the security audit before running it.

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.

android-tvclaude-codegoogle-tvhome-screen

Quick Facts

Stars110
Forks18
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score67/100
Last Updated2026-10-29
Created2026-10-26
Platformsclaude-code, python
Est. Tokens~19k

About couch-tv

couch-tv Your own home screen and phone remote for a Google TV. No ads on the home screen. Open source (MIT). Home backgrounds Five scenes take turns every 20 seconds, each with a big glass clock that sits just behind the scenery: the peaks, the volcano and the misty hills overlap the bottom of the digits, and on the waterline scene the clock floats on the lake with a blurred reflection under the...

Compatible Skills

These tools work well together with couch-tv for enhanced workflows:

  • cleanyourtv — semantic(0.70)+complementary+rare_topics+same_lang+shared_platform (74%)

couch-tv alternative? Top 6 similar tools

Looking for a couch-tv alternative? If you're comparing couch-tv with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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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