dsh-TUI: DSH's officially top-recommended TUI plugin — high performance, low overhead, cute pixel whale, smooth mouse

by ccch1mneyyy · Claude Skill · ★ 6.9k

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

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.

claude-codecoding-agentdeepseekdeepseek-harnessdsh-plugininkreactterminaltui

Quick Facts

Stars6,935
Forks341
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score64/100
Open Issues115
Last Updated2026-11-05
Created2026-08-13
Platformsclaude-code, node
Est. Tokens~15k

About dsh-TUI

简体中文 | English dsh-TUI 一个美观且实用的 Claude Code 风格 TUI 插件：像素鲸鱼顶栏、双流光大字、实时工作状态行、思考流式展开、双击 Esc 时间回溯、蓝白上下文进度条 + TPS 仪表。 零核心改动，纯插件挂载。安装插件即可启用，卸载后不会留下核心补丁。 🎉 官方收录 本插件被 DeepSeek Harness 官方公众号 推文收录，作为"内测用户精选插件"展示： 核心能力 终端原生交互：流式 Markdown、结构化工具卡、命令与文件补全、 文件引用 （消息任意位置补全，发送时自动附加文件内容/目录列表）、历史搜索、消息选择、 inline/alternate-screen 两种渲染模式，以及 中英界面语言切换。 可观察的 Agent 状态：实时工作状态、上下文分段进度、TPS、缓存命中率、 推理等级、输入/输出 token 与...

Compatible Skills

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

  • dsh-vision-toolkit — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • awesome-deepseek-harness — semantic(0.53)+complementary+rare_topics+same_lang+shared_platform (68%)
  • reasonix — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • carboncode — semantic(0.44)+complementary+same_lang+similar_pop+shared_platform (65%)
  • dsh-computer-use — semantic(0.39)+complementary+rare_topics+same_lang+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: 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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