JohnXu22786/semantic-search
Local semantic code search for DeepSeek Harness (dsh): fragment-level, symbol-aware indexing, offline lexical embeddings or OpenAI-compatible endpoints, and hybrid vector + BM25 retrieval fused with RRF - three dsh tools (sema_search / sema_reindex / sema_stats) plus a sema CLI.
Project Overview项目介绍
This is a local semantic code search plugin for DeepSeek Harness. It builds fragment-level indexes for workspace source code, supports hybrid vector-BM25 semantic retrieval, and works offline by default. Use it to search code by meaning even when terms don't match exactly. Remote embedding providers require API keys and network access.
这是DeepSeek Harness的本地语义代码搜索插件。可对工作区源码建立片段级索引,支持向量+BM25混合语义召回,默认无需联网即可使用。适合按语义搜索代码,关键词不匹配也能得到结果。注意使用远程嵌入服务需要配置API密钥和网络。
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:semantic-search(JohnXu22786/semantic-search)
仓库:https://github.com/JohnXu22786/semantic-search
本站详情页:https://www.yhbd.top/plugins/johnxu22786-semantic-search/
本站登记:类型 plugin · 归类 原生 DSH 插件 · 许可证 MIT · ⭐ 2 · 最近提交 2026-10-01 · 主语言 TypeScript
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 --profile demo add github:JohnXu22786/semantic-search
把 JohnXu22786/semantic-search 加入你的 DSH 配置(web profile)即可启用。
READMEREADME
dsh-semantic-search
Local semantic code search for DeepSeek Harness (dsh) — and any Node script.
中文文档:README.zh.md
sema builds a fragment-level index of a workspace: source is tokenized by a
language-aware tokenizer (camel/snake/kebab splitting, CJK n-grams), chunked with
symbol-aware boundaries (functions/classes stay intact), and embedded into fixed
dimension vectors — locally and dependency-free by default (feature-hashed
lexical TF-IDF), or via any OpenAI-compatible embedding endpoint. Queries run a
hybrid retrieval (vector cosine + BM25, fused with reciprocal-rank fusion) over
the index, so meaning-based search works even when exact terms don't match.
Ships as a dsh plugin bundle — the sema_search, sema_reindex and sema_stats
tools on the harness tool registry — plus a standalone sema CLI.
Highlights
- Works offline by default — the built-in lexical provider needs no network, no model download, no API key. Use it as a fast BM25-plus code search.
- Symbol-aware chunking — boundaries from a conservative per-language table (16 languages) keep functions/classes intact; a missed boundary degrades to a plain chunk rather than breaking.
- CJK-aware tokenizer — n-gram tokenization (default bigrams) aligns Chinese queries and documents without a segmentation library; full-width punctuation is folded, not treated as a hard break.
- Hybrid retrieval with RRF — vector cosine + BM25 channels are fused by reciprocal-rank fusion, so a document found by one channel still ranks.
- Graceful degradation — if a configured remote provider is unreachable, the
index falls back to the local lexical provider (configurable via
allowFallback). - Incremental refresh + file watching —
sema_reindexdiffs by size+mtime, and an optional watcher keeps the index live. - Persistence — the index is saved to
<root>/.semaatomically (JSON metadata- binary vectors), with staleness detection when the provider/dimension changes.
- Deterministic — the same workspace and options produce the same index and the same ranked answers.
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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