garmin-connect-plugin-for-dsh: A TypeScript-based Garmin Connect plugin and MCP server with secure browser-based MFA, built for DeepSeek

by Likenttt · MCP Server · ★ 53

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

How to install garmin-connect-plugin-for-dsh

git clone https://github.com/Likenttt/garmin-connect-plugin-for-dsh.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 68/100

None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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.

claudeclaude-codeclaude-code-pluginclaude-skillscodexdeepseek-harnessdeepseek-harness-plugindsh-pluginworkbuddyzcode-plugin

Quick Facts

Stars53
Forks8
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score68/100
Open Issues6
Last Updated2026-11-06
Created2026-08-18
Platformsbrowser, claude-code, codex, mcp, node
Est. Tokens~26k

About garmin-connect-plugin-for-dsh

dsh-plugin-garmin-connect A TypeScript-based Garmin Connect plugin and MCP server with secure browser-based MFA, built for DeepSeek Harness and designed to work with other AI agents. English Changelog Works with mainstream codi

Compatible Skills

These tools work well together with garmin-connect-plugin-for-dsh for enhanced workflows:

  • dsh-plugins-store — semantic(0.51)+complementary+same_lang+similar_pop+shared_platform (68%)
  • SpecFusion — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (63%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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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