hellosky983/dsh-skillradar
DSH插件:扫描会话中可见的技能,并根据与近期对话的相关性对其进行排序。
Project Overview项目介绍
This is a native DeepSeek Harness plugin built exclusively for DSH. It scans all skills available to the current active session, calculates a relevance score for each skill by measuring token overlap between the skill’s metadata and the recent conversation text, and supports both English and Chinese text analysis. After scoring, it returns a ranked list of skills that are recommended to load next for the current task. Users can install it directly via the DSH CLI by running dsh plugin add github:hellosky983/dsh-skillradar, or clone the source code and install it locally. It is verified to work with DSH version 0.1.0-rc.6 and newer, with the latest compatibility check completed in August 2026.
When working with multiple skills in a DSH session, both the model and the user often struggle to identify which skill is most relevant to the current task. This plugin solves that problem by providing a clear, deterministic ranked list of skills sorted by relevance. It is designed for users and developers who regularly work across multiple skill domains and want a fast, reliable way to narrow down skill options. After installation, you can invoke it by either asking the agent to scan for relevant skills, or running the skill_radar command directly in the CLI. By default it returns up to 15 top skills, but you can adjust this limit via the plugin configuration.
The plugin runs all scoring locally and does not require any network access, external credentials, or environment variables. It only reads the most recent 8000 characters of conversation text from the current session and the available skill catalog, and does not write any data to your DSH profile or system. It is released under the open source MIT license, and you can configure it to return a maximum number of results or scan a different session than the current active one. If the tool does not appear after installation, you can try restarting DSH or checking your plugin configuration to resolve the issue.
dsh-skillradar 是专为 DeepSeek Harness(DSH)开发的原生插件,功能是扫描当前会话中所有可用技能,基于技能标签和近期对话文本(同时支持中英文)的分词重叠度计算相关性得分,最终输出排序后的推荐技能列表,帮助用户和模型选择接下来要加载的技能。它支持通过 DSH CLI 直接从 GitHub 安装,也可以克隆源码后本地安装,要求 DSH 版本不低于 0.1.0-rc.6,最近一次验证是在 2026 年 8 月。
这款插件解决了 DSH 会话中技能数量较多时,模型和用户都无法快速判断当前任务该加载哪个技能的问题。它面向需要在多个技能领域间切换工作的开发者和普通用户,能够快速提供确定性的技能相关性排序结果,帮助缩小技能选择范围,提升工作效率。用户既可以通过自然语言指令让 agent 调用插件,也可以直接通过命令行触发全量扫描。
插件不依赖外部网络,所有评分都在本地完成,仅读取当前会话最近 8000 字符的对话内容和技能目录,不会写入任何数据,也不需要凭证或环境变量配置。它采用 MIT 许可证开源,用户可以配置返回技能的最大数量,也支持指定扫描非当前会话的技能目录。遇到问题可查看 DSH profile 日志调试。
请帮我安装这个 DSH 插件。安装前先完成【兼容性检查 + 安全性检查】,检查通过再动手。
插件:dsh-skillradar(hellosky983/dsh-skillradar)
仓库:https://github.com/hellosky983/dsh-skillradar
本站详情页:https://www.yhbd.top/plugins/hellosky983-dsh-skillradar/
本站登记:类型 plugin · 归类 原生 DSH 插件 · 许可证 MIT · ⭐ 2 · 最近提交 2026-09-29 · 主语言 JavaScript
按下面顺序执行,每步先把结论告诉我,再进入下一步:
【1 兼容性检查】
① 我这边:DSH 版本、Node 版本、操作系统、当前 profile(web / desktop)。
② 读它的 README、package.json、插件 manifest,列出它要求的 DSH 版本 / Node 版本 / 操作系统 / 外部依赖 / 需要另外先装的运行时。
③ 逐条比对,结论只写「满足 / 不满足 / 未知」三种;不满足的给出可行替代方案。
④ 检查是否和我已装的插件冲突:命令名重复、skill / tool 重名、端口占用、重复注册的 MCP server。
【2 安全性检查】
① 仓库可信度:和上面「本站登记」是否一致;star / fork 数、创建时间、最近提交,是否归档或长期停更。
② 安装脚本:逐行看 package.json 的 preinstall / install / postinstall,以及 install.sh、setup.ps1 之类脚本。出现 curl|bash、下载后直接执行、混淆代码、访问与插件功能无关的域名,立刻停下来告诉我,不要继续装。
③ 依赖:列出新增依赖,标出无人维护、或与知名包拼写近似的可疑包(typosquatting)。
④ 权限与副作用:它会读写哪些目录、访问哪些域名、需要哪些 DSH 权限(filesystem / network / shell / clipboard 等),以及怎么卸载和回滚。
⑤ 如果它要求 sudo / 管理员权限,或权限明显超出功能所需,先停下来问我。
【3 安装】
上面两步没有「不满足」和「高危项」时才执行;用官方推荐方式安装,不要自行提权。
【4 汇报】
用表格输出:检查项 / 结论 / 依据 / 是否需要我决策。拿不准的一律写「未知」并说明要我怎么确认——不要猜,也不要替我决定。
Send this message to DSH in your current session: it verifies compatibility and security first (answering met / not met / unknown item by item) and only installs once everything checks out — it will stop and ask you if it finds a high-risk item. The box scrolls; the copy is the full prompt. CLI install commands may not be accurate across systems, so DSH is the safer route.把上面这条消息直接发给当前会话里的 DSH:它会先核对兼容性与安全性(逐条给「满足 / 不满足 / 未知」),确认没问题再安装,有高危项会停下来问你。框内可滚动,复制到的是完整提示词;安装命令不一定准确,发给 DSH 更稳。
- Only 2 stars - very few users, little community feedback星标只有 2,几乎没人在用,遇到问题缺少社区反馈
DSH walks through these 9 checksDSH 会逐条核对这 9 项
Compatibility兼容性
- DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
- External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
- Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册
Security安全性
- Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
- Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
- curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
- Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
- Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
- Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式
Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。
Or use CLI install (for developers)或使用命令行安装(适合开发者)
CLI Install命令行安装
dsh plugin add github:hellosky983/dsh-skillradar
把 hellosky983/dsh-skillradar 加入你的 DSH 配置(web profile)即可启用。
READMEREADME
dsh-skillradar
A DeepSeek Harness plugin that scans every skill visible to the current session, scores each against the recent conversation text (English + Chinese token overlap), and returns a ranked recommendation of which skill to load next.
Overview
DSH sessions expose many skills, and neither the model nor the user always knows which one applies. This plugin answers "what should I load right now?" with a concrete, ranked answer. It suits agents and users who work across many skill domains and want a fast, deterministic relevance signal.
Compatibility
- DSH version:
0.1.0-rc.6 - Mainline: verified against
deepseek-harnessmainline snapshots of 2026-08-14 - Last verified: 2026-08-14
Install / Uninstall
Install (from GitHub):
dsh plugin add github:hellosky983/dsh-skillradar
Or clone and install locally:
git clone https://github.com/hellosky983/dsh-skillradar.git
cd dsh-skillradar
dsh plugin add .
Upgrade: re-run the install command after git pull.
Disable temporarily: remove the plugin row from your profile composition, or run:
dsh plugin remove dsh-skillradar
Uninstall: remove the dsh-skillradar dependency and its bundle entry from the profile package.json, then pnpm install.
Quick start
After install and restart, tell the agent:
Scan the current session and tell me which skill fits this task.
or invoke the tool directly:
skill_radar # with no arguments, scans the current session
Example output:
Skill Radar — 16 skills visible
100% github-upload [github, 仓库, readme, 上传]
85% cordis-plugin-development [client, host, cordis, run]
Configuration
| Option | Type | Default | Description |
|---|---|---|---|
session_id |
string | current session | Session to scan instead of the current one |
limit |
integer | 15 | Maximum number of skills returned |
No environment variables, no secrets, no external configuration files.
Permissions & data
- Reads: the current session's recent message text (last 8000 chars) and the skill catalog via
ctx.skills/ctx.sessionQuery. - Writes: nothing. The tool only returns a scored list.
- Network: none. All scoring is local text analysis.
- Credentials: none.
Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →
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