How do I install the Agentprivacy Wiki Similarity Plugin skill?

Run npx skillmds@latest add mitchuski/agentprivacy-wiki-similarity-plugin in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Agentprivacy Wiki Similarity Plugin safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Agentprivacy Wiki Similarity Plugin?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Agentprivacy Wiki Similarity Plugin free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Apache-2.

Who published Agentprivacy Wiki Similarity Plugin?

mitchuski (@mitchuski) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Agentprivacy Wiki Similarity Plugin by mitchuski

Name: Agentprivacy Wiki Similarity Plugin
Author: mitchuski

Agentprivacy Wiki Similarity Plugin

The wiki-plugin-similarity package — adds semantic similarity search to a fedwiki farm via two item types (similarity search form, similar ambient panel) using in-browser cosine scoring over BGE embedding vectors. Activates when adding similarity/related-pages search to a fedwiki, or as a plugin scaffolding reference. Kept by the Librarian 🗃️.

mitchuski Updated Sep 17, 2026

File contents

Similarity Plugin

This plugin adds semantic similarity search to a Federated Wiki farm. It ships two item types — similarity (an interactive search form) and similar (an ambient panel that automatically finds pages related to the one you are reading).

Repositories

GitHub: Hitchhikers-Guide-to-the-Galaxy/wiki-plugin-similarity
npm: not yet published — install locally with npm link during development

How It Works

Pages in the farm are pre-indexed as 384-dimensional embedding vectors using BAAI/bge-small-en-v1.5 via the fastembed library. At query time the plugin loads these compact semantic-vectors.json index files directly in the browser and performs cosine similarity scoring in JavaScript — no round-trip to a remote search engine.

Item Types

similarity — renders a search input. Type a query and the plugin embeds it, scans the loaded indices, and presents the top matching pages as scored links with domain attribution.

similar — renders silently on page load. It looks up the current page's pre-computed vector from the cached index (no embed call if the page is already indexed) and displays a Similar Pages link list ranked by cosine score.

Domain DSL

The item's text field is a small configuration language. Write one entry per line:

*                        all indexed domains on this server
david.*                  glob pattern
david.hitchhikers.earth  explicit domain
# comment                ignored
---
SIMILAR: high            threshold preset  (high=0.78 / medium=0.68 / low=0.58)
THRESHOLD: 0.72          exact cosine threshold
LIMIT: 8                 max results (default 10)

Leave text empty to search the current domain at the default medium threshold.

Server Component

The plugin's server/server.js registers three routes with the wiki's Express app at startup — no changes to wiki-server core required:

GET /system/indexed-domains.json?pattern=glob — list domains with a built index
GET /system/semantic-vectors.json — serve the vector index for the current domain
GET /system/embed?text=… — proxy to a local FastAPI embedding service

The embedding service runs fastembed in-process and responds in ~5 ms on an M-series Mac using CoreML acceleration.

---name: agentprivacy-wiki-similarity-plugindescription: The wiki-plugin-similarity package — adds semantic similarity search to a fedwiki farm via two item types (similarity search form, similar ambient panel) using in-browser cosine scoring over BGE embedding vectors. Activates when adding similarity/related-pages search to a fedwiki, or as a plugin scaffolding reference. Kept by the Librarian 🗃️.license: Apache-2.0---# Similarity PluginThis plugin adds semantic similarity search to a Federated Wiki farm. It ships two item types — **similarity** (an interactive search form) and **similar** (an ambient panel that automatically finds pages related to the one you are reading).## Repositories- **GitHub**: `Hitchhikers-Guide-to-the-Galaxy/wiki-plugin-similarity`- **npm**: not yet published — install locally with `npm link` during development## How It WorksPages in the farm are pre-indexed as 384-dimensional embedding vectors using `BAAI/bge-small-en-v1.5` via the `fastembed` library. At query time the plugin loads these compact `semantic-vectors.json` index files directly in the browser and performs cosine similarity scoring in JavaScript — no round-trip to a remote search engine.## Item Types**similarity** — renders a search input. Type a query and the plugin embeds it, scans the loaded indices, and presents the top matching pages as scored links with domain attribution.**similar** — renders silently on page load. It looks up the current page's pre-computed vector from the cached index (no embed call if the page is already indexed) and displays a *Similar Pages* link list ranked by cosine score.## Domain DSLThe item's `text` field is a small configuration language. Write one entry per line:```* all indexed domains on this serverdavid.* glob patterndavid.hitchhikers.earth explicit domain# comment ignored---SIMILAR: high threshold preset (high=0.78 / medium=0.68 / low=0.58)THRESHOLD: 0.72 exact cosine thresholdLIMIT: 8 max results (default 10)```Leave `text` empty to search the current domain at the default medium threshold.## Server ComponentThe plugin's `server/server.js` registers three routes with the wiki's Express app at startup — no changes to wiki-server core required:- `GET /system/indexed-domains.json?pattern=glob` — list domains with a built index- `GET /system/semantic-vectors.json` — serve the vector index for the current domain- `GET /system/embed?text=…` — proxy to a local FastAPI embedding serviceThe embedding service runs `fastembed` in-process and responds in ~5 ms on an M-series Mac using CoreML acceleration.## See Also- `agentprivacy-wiki-searching-plugins` — finding plugins (this is a scaffolding template)- `agentprivacy-wiki-create-plugin` — scaffold a new plugin- `agentprivacy-wiki-ghost-pages` — the ghost-page pattern this plugin's forms use---**Verify:** [agentprivacy.ai](https://agentprivacy.ai) · kept by the Librarian 🗃️ in the Tower's Wikis (the git-less onboarding layer)**Upstream:** [skill.fedwiki.club/similarity-plugin](https://skill.fedwiki.club/similarity-plugin) — vendored + re-framed; not original agentprivacy authorship

Frequently asked questions