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dsh-skillradar

已验证 · 实测可装 hellosky983

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JavaScript语言
2026-08-14最近推送
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功能简介

DSH 技能雷达:扫描会话技能,评分相关性并推荐

✅
我们的评价
可用 — 实测通过,早期项目

DSH 技能雷达:扫描会话技能,评分相关性并推荐 实测能干净安装、正常启动。早期项目,但功能可用。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

dsh-skillradar

Awesome DSH Plugin

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-harness mainline 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.

Troubleshooting

  • Tool not visible after install: restart dsh, or check that the bundle row appears in dsh --dump-config.
  • "cannot get property tools without inject": the plugin requires inject = ['tools']; reinstall from the latest commit which declares it.
  • Logs: dsh profile logs under ~/.dsh/profiles/<name>/; set DEBUG=cordis* for component tracing.
  • Rollback: revert to the previous plugin version by reinstalling the earlier git commit.

Development

git clone https://github.com/hellosky983/dsh-skillradar.git
cd dsh-skillradar
# smoke test with a mock ctx:
node --input-type=module -e "import { apply } from './index.js'; apply({get:()=>undefined, tools:{register:()=>{}}}); console.log('ok')"

The client/ directory contains the optional interactive radar panel (dynamic Cordis plugin form) for the web UI.

Contributions: open issues and pull requests on GitHub. Keep changes dependency-free (scoring is self-contained). Report bugs with a minimal reproduction case.

License & security

MIT — see LICENSE. No secrets are shipped; report security issues privately via GitHub issue (repo is public) or email to the repository owner.

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-skillradar」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:hellosky983/dsh-skillradar

Headless(CLI)profile:

dsh plugin --profile headless add github:hellosky983/dsh-skillradar

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

使用场景

给 agent 一套记忆、知识库或检索层,让它不再跨会话丢上下文。

适合谁

跑长项目、想让 agent 记住决策、文档和偏好而不用每次重讲的人。

二次开发建议

记忆/检索后端是缝——插新存储、调蒸馏策略,或加引用与审计轨迹。

安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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