dsh-find-plugins: 帮 DSH 搜索、安装并验证插件的 Skill|A DSH skill that finds, installs, and verifies GitHub plugins

by Nagi-ovo · Agent Tool · ★ 94

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

Security audit verdict: SAFE · quality 58/100

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-skillsdeepseek-harnessdsh-pluginplugin-discovery

Quick Facts

Stars94
Forks1
LanguageJavaScript
CategoryAgent Tool
LicenseBSD-3-Clause
Quality Score58/100
Open Issues2
Last Updated2026-08-15
Created2026-08-13
Platformsnode
Est. Tokens~13k

About dsh-find-plugins

dsh-find-plugins 简体中文 | English 对 DSH 说一句「有没有插件能……」,它就会从全 GitHub 的 topic 里找出候选,解释差别,等你选好以后再安装和验证。 仓库属于个人还是组织并不重要。只要是公开仓库并带有 topic,转移仓库后仍然能被发现。 安装 把下面这句话发给 DSH: 手动安装时,把 整个目录复制到 (默认是 );只想给当前项目使用,则复制到 。如果还想与其他 Agent 共用,也可以放在 。目录 watcher 会让它立即生效。 它会怎么做 Skill 会先运行自带脚本,获取所有公开、未归档、非 fork 的 仓库。它只检查最匹配的少量候选,并从 README、 和仓库文件判断应该按 bundle、Cordis 插件还是 skill 安装。 你选定之后、开装之前,它会先查一遍这个插件的 lifecycle...

Compatible Skills

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

  • awesome-deepseek-harness — semantic(0.65)+complementary+rare_topics+similar_pop+shared_platform (72%)
  • dsh-cc-tui — semantic(0.55)+complementary+rare_topics+similar_pop+shared_platform (68%)

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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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