dsh-jev-plugin: Native DeepSeek Harness plugin integrating TypeSafe Jev or Decision api like luna as a System One decision

by luobosibing2 · Agent Tool · ★ 196

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

Security audit verdict: SAFE · quality 75/100

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.

agent-harnessai-agentscordisdecisions-apideepseek-harnessdshdsh-jevdsh-pluginjevluna-decision

Quick Facts

Stars196
Forks18
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score75/100
Open Issues3
Last Updated2026-10-22
Created2026-09-27
Platformsnode
Est. Tokens~16k

About dsh-jev-plugin

deepseek-harness-jev English 中文功能与实测网站 Native DeepSeek Harness (DSH) plugin integrating TypeSafe Jev as a System One decision layer. connects DeepSeek Harness (DSH) to Jev by TypeSafe AI for agent skill and file selection, task supervision, shared-finding corrections, tool-output filtering, and single-operation approval assistance.

Compatible Skills

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

  • awesome-dsh-plugins — semantic(0.58)+complementary+same_lang+similar_pop+shared_platform (70%)
  • dsh-crew — semantic(0.55)+complementary+same_lang+similar_pop+shared_platform (69%)

dsh-jev-plugin alternative? Top 6 similar tools

Looking for a dsh-jev-plugin alternative? If you're comparing dsh-jev-plugin 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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