DeepSeek Harness plugin

dsh-anysearch-refs

在 DSH 侧边栏中展示 AnySearch 搜索引用卡片

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Source facts

Repository
v587d/dsh-anysearch-refs
Latest update
Aug 19, 2026
Category
UI Enhancements
GitHub stars
2
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

Start with a prompt that asks an agent to review the GitHub repository and source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to review the GitHub repository and source first.

Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
2. Who is it for, and what are its typical use cases?
3. How is it used after installation? Include one minimal example.
4. What known limitations or privacy, security, compatibility, or maintenance risks does it have?
5. Give a clear recommendation: recommend, conditionally recommend, or do not recommend, with reasons.

Distinguish statements documented by the repository, inferences from source code, and unknowns. If evidence is insufficient, say so explicitly. Do not guess or simply repeat the README.

GitHub: https://github.com/v587d/dsh-anysearch-refs
Plugin: dsh-anysearch-refs
Author: v587d

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer2 files
README.mdSource · read only

dsh-anysearch-refs

<p align="left"> <a href="https://github.com/deepseek-ai"><img src="https://img.shields.io/badge/DeepSeek_Harness-plugin-blue" alt="DSH Plugin"></a> <a href="https://github.com/deepseek-ai"><img src="https://img.shields.io/badge/DeepSeek_Harness-web-orange" alt="DSH Web"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue.svg" alt="MIT license"></a> </p>

[English](#what) · [中文](#这是什么)

What

A DSH sidebar plugin that shows AnySearch references as cards, with the search query, source snippets and highlighted keywords in the right sidebar.

It captures anysearch_search / anysearch_batch_search tool results and renders them in a dedicated DSH sidebar tab.

![screenshot-1](assets/screenshot-1.png)

> Status: early iteration. If you send a PR, please rebase onto the latest main.

Prerequisites

Install these separately in your DSH profile first:

PackagePurpose
@anysearch/anysearch-dshAnySearch data source / tool events
dsh-better-sidebarRight sidebar / tab hosting

Installation

For normal users, these three commands are enough — no pnpm needed:

dsh plugin --profile web add @anysearch/anysearch-dsh
dsh plugin --profile web add dsh-better-sidebar
dsh plugin --profile web add github:v587d/dsh-anysearch-refs

Then restart dsh web and hard-refresh the browser (Ctrl+Shift+R / Cmd+Shift+R).

Build from source

Developers only:

pnpm install
pnpm run build
pnpm run check

Contributing

  • Rebase onto the latest main before PR.
  • Run pnpm run check before pushing.
  • Do not modify DSH core or dsh-better-sidebar source.

License

MIT

---

这是什么

一个 DSH 侧边栏插件,把 AnySearch 的搜索结果以卡片形式展示在右侧侧边栏中,包括搜索词、来源摘要和关键词高亮。

它捕获 anysearch_search / anysearch_batch_search 的工具结果,并在 DSH 侧边栏中单独展示。

![screenshot-1](assets/screenshot-1.png)

> 状态:早期迭代中。如果提交 PR,请先 rebase 到最新的 main

前置依赖

需要先在 DSH profile 中单独安装:

作用
@anysearch/anysearch-dshAnySearch 数据源 / 工具事件
dsh-better-sidebar右侧侧边栏 / tab 容器

安装

普通用户只需要这三条命令,不需要 pnpm

dsh plugin --profile web add @anysearch/anysearch-dsh
dsh plugin --profile web add dsh-better-sidebar
dsh plugin --profile web add github:v587d/dsh-anysearch-refs

然后重启 dsh web,并在浏览器中硬刷新(Ctrl+Shift+R / Cmd+Shift+R)。

源码构建

仅开发者需要:

pnpm install
pnpm run build
pnpm run check

贡献

  • 提交 PR 前请 rebase 到最新 main
  • 推送前运行 pnpm run check
  • 不要修改 DSH 核心或 dsh-better-sidebar 源码。

License

MIT