dsh-android: DeepSeek Harness plugin for Android — build, run, and interact with a live emulator or USB device stream

by ZSeven-W · MCP Server · ★ 172

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

How to install dsh-android

pnpm add @zseven-w/dsh-android

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

Security audit verdict: SAFE · quality 64/100

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.

accessibilityadbai-agentsandroidcoding-agentdeepseek-harnessdshdsh-pluginemulatormcp

Quick Facts

Stars172
Forks15
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score64/100
Open Issues2
Last Updated2026-10-08
Created2026-08-21
Platformsmcp, node
Est. Tokens~20k

About dsh-android

DSH Android A live Android device inside a DeepSeek Harness conversation — emulator or USB phone, driven entirely through adb. 20 agent tools • in-process live stream, no external helper • three-button navigation panel • Gradle build & run • Vision OCR npm: @zseven-w/dsh-android · Current plugin release: 0.1.0-rc.8 · Tested with DSH 0.1.5-rc.1 English...

Compatible Skills

These tools work well together with dsh-android for enhanced workflows:

  • simvyn — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • dsh-plugins-store — semantic(0.41)+complementary+same_lang+similar_pop+shared_platform (64%)
  • ProMentor — semantic(0.41)+complementary+same_lang+similar_pop+shared_platform (64%)
  • dsh-skills-manager — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (64%)
  • anysearch-dsh — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (64%)

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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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