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Agent Skill · 研究检索

cross-linker(交联剂)

cross-linker 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

cross-linker 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 7,275。

总安装 19,451周安装 827GitHub Stars 801下载 6,814核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cross-linker(交联剂)
来源仓库:https://github.com/ar9av/obsidian-wiki
仓库路径:skills/cross-linker
安装命令:
npx skills add https://github.com/ar9av/obsidian-wiki --skill cross-linker
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ar9av/obsidian-wiki --skill cross-linker

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

cross-linker 自动发现 Obsidian 知识库中缺失的内部链接关系。基于 frontmatter 元数据构建候选链接注册表,避免全库扫描。仅读取标题与摘要匹配的页面进行 mentions 匹配,控制 token 消耗。输出建议链接列表,由人工审核后手动插入 wikilinks。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/cross-linker

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/ar9av/obsidian-wiki --skill cross-linker;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

cross-linker 怎么安装?

在终端执行 npx skills add https://github.com/ar9av/obsidian-wiki --skill cross-linker。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cross-linker 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cross-linker 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

cross-linker 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cross-linker 用的人多吗?

公开数据是累计安装 19,451 次,近一周安装 827 次,下载 6,814 次,GitHub 801 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cross-linker 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cross-linker

交联剂 · 本页

19,451801只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Cross-Linker — Automated Wiki Cross-Referencing

You are weaving the wiki's knowledge graph tighter by finding and inserting missing [[wikilinks]] between pages that should reference each other but currently don't.

Follow the Retrieval Primitives table in llm-wiki/SKILL.md. Build the registry in Step 1 by grepping frontmatter only (not full pages). Reserve full Read for the unlinked-mention detection pass, and even there, only read pages whose summaries/titles make them plausible link targets. Blind full-vault reads are what this framework exists to avoid.

Before You Start

  1. Read ~/.obsidian-wiki/config (preferred) or .env (fallback) to get OBSIDIAN_VAULT_PATH and OBSIDIAN_LINK_FORMAT (default: wikilink)
  2. Read index.md to get the full inventory of pages and their one-line descriptions
  3. Skim log.md to see what was recently ingested (focus linking effort on new pages)

When inserting links in Step 4, apply the link format from llm-wiki/SKILL.md (Link Format section) using the OBSIDIAN_LINK_FORMAT value. When OBSIDIAN_LINK_FORMAT=markdown, compute the relative .md path from the file being edited to the target page.

Step 1: Build the Page Registry

Glob all .md files in the vault (excluding _archives/, .obsidian/). For each page, extract:

  • Filename (without .md) — this is the wikilink target
  • Title from frontmatter
  • Aliases from frontmatter (if any)
  • Tags from frontmatter
  • Category from frontmatter or directory inference
  • One-line summary — first sentence or title field

Build a lookup table:

page_name → { path, title, aliases, tags, summary }

This is your "vocabulary" — every entry in this table is a valid wikilink target.

Step 2: Scan for Missing Links

For each page in the vault:

  1. Read the full content
  2. Extract existing wikilinks — find all [[...]] references already present
  3. Search for unlinked mentions — check if the page's text contains any of these, without being wrapped in [[...]]:

- Page filenames (e.g., the word "MyProject" appears but [[projects/my-project/my-project]] is missing) - Page titles from frontmatter - Aliases from frontmatter - Entity names, project names, concept names from the registry

  1. Check for semantic connections — pages that share multiple tags or are in the same project directory but don't link to each other

Matching Rules

  • Case-insensitive matching for names (e.g., "my-project" matches page MyProject)
  • Diacritic-insensitive matching — normalize both the page name and the body text with Unicode NFKD (decompose accented characters to base + combining marks, strip combining marks) before comparing. This ensures body text "Muller" matches page [[entities/müller]] and vice versa.
  • Skip self-references — a page shouldn't link to itself
  • Skip common words — don't link "the", "and", generic terms. Only match on distinctive names
  • Prefer the shortest unambiguous wikilink path — use [[page-name]] not [[full/path/to/page-name]] when the name is unique across the vault
  • Don't link inside code blocks or frontmatter
  • Don't double-link — if [[foo]] already appears on the page, don't add another

Step 3: Score and Rank Suggestions

Not every possible link is worth adding. Score each candidate using a composite signal, then tag it with a confidence label.

Scoring

SignalPointsExample
Exact name match in text+4"MyProject" appears in body text → link to my-project.md
Shared tags (2+)+2Both tagged #ai #agent but no link between them
Same project, no link+2Both under projects/my-project/ but don't reference each other
Mentioned entity/concept+2Page mentions "knowledge graphs" → link to [[concepts/knowledge-graphs]]
Cross-category connection+2Source is in concepts/, target is in entities/ (or skills/ ↔ synthesis/) — different knowledge layers make this link more architecturally valuable
Peripheral→hub reach+2Source page has ≤ 2 total links (peripheral) but target has ≥ 8 (hub) — connecting a loose page to a load-bearing concept
Partial name match+1"graph" appears but page is knowledge-graphs — plausible but ambiguous

Confidence labels

Tag each candidate with a confidence label based on its score:

ScoreLabelAction
≥ 6EXTRACTEDLink is effectively certain — exact mention or very strong match. Apply inline.
3–5INFERREDLink is a reasonable inference — shared context, cross-category, peripheral→hub. Apply inline or as Related section.
1–2AMBIGUOUSWeak or partial match. Skip unless user specifically asks to connect loose pages.

Only act on EXTRACTED and INFERRED candidates. Include the confidence label in the Cross-Link Report so the user can review INFERRED links before trusting them.

Step 4: Apply Links

For each page with missing links:

4a: Inline linking (preferred)

Find the first natural mention of the term in the body text and wrap it in wikilinks:

Before:

This project uses knowledge graphs to connect entities.

After:

This project uses [[concepts/knowledge-graphs|knowledge graphs]] to connect entities.

Use the [[path|display text]] format when the wikilink path differs from the display text.

4b: Related section (fallback)

If the term isn't mentioned naturally in the body but the pages are semantically related (shared tags, same project), add a ## Related section at the bottom of the page:

## Related

- [[projects/my-project/my-project]] — Also uses AI agents for research automation
- [[concepts/knowledge-graphs]] — Core technique used in this project

If a ## Related section already exists, append to it. Don't duplicate existing entries.

Step 5: Score Misc Page Affinity

After the main linking pass, update affinity scores for all pages in misc/ (pages with promotion_status: misc in their frontmatter, or located under the misc/ directory).

For each misc page:

  1. Collect outgoing links — all [[wikilinks]] in the page body
  2. Collect incoming links — grep the vault for [[misc/<slug>]] and [[<slug>]] references
  3. For each linked page (both directions), check if it belongs to a project:

- Lives under projects/<project-name>/ - Has a project: frontmatter field matching a project name

  1. Group by project name and sum: outgoing_links + incoming_links
  2. Update the affinity frontmatter block on the misc page:
affinity:
  obsidian-wiki: 3
  another-project: 1
  1. If any project's score ≥ 3: flag this page as a promotion candidate and record it for the report

Efficiency note: only read the full body of misc pages — other pages only need a frontmatter grep to determine their project membership.

Step 6: Report

Present a summary:

## Cross-Link Report

### Links Added: 23 across 12 pages

| Page | Links Added | Confidence | Type |
|---|---|---|---|
| `projects/my-project/my-project.md` | 3 | EXTRACTED | 2 inline, 1 related |
| `entities/jane-doe.md` | 5 | INFERRED | 3 inline, 2 related |
| ... | | | |

### Orphan Pages Remaining: 2
- `references/foo.md` — no incoming or outgoing links found
- `concepts/bar.md` — could not find related pages

### Misc Promotion Candidates: N
Pages in misc/ that have ≥ 3 connections to a single project — ready to be promoted:

| Page | Top Project | Score |
|---|---|---|
| `misc/web-martinfowler-articles-microservices.md` | `obsidian-wiki` | 4 |

To promote: move the page to `projects/<project-name>/references/` and update all backlinks.

### Pages Skipped: 3
- `index.md`, `log.md` — special files
- `_archives/*` — archived content

Step 7: Update Log and Hot Cache

Append to log.md:

- [TIMESTAMP] CROSS_LINK pages_scanned=N links_added=M pages_modified=P orphans_remaining=Q misc_affinity_updated=R promotion_candidates=S

hot.md — Read $OBSIDIAN_VAULT_PATH/hot.md (create from the template in wiki-ingest if missing). Update Recent Activity with a one-line summary of what was linked — e.g. "Cross-linked 23 mentions across 12 pages; 2 orphans remain." Keep the last 3 operations. Update updated timestamp.

Tips

  • Run after every ingest. New pages are almost always poorly connected. This is the fix.
  • Be conservative with inline links. Only link the first natural mention, not every occurrence.
  • Don't touch pages in _archives/. Those are frozen snapshots.
  • Respect existing structure. If a page carefully curates its links in a ## Key Concepts section, add to that section rather than creating a separate ## Related.
  • Entity pages are link magnets. An entity like jane-doe should be linked from almost every project page. Prioritize these.

平台分布

Codex

32.23%
按下载量换算2,196

Claude

30.83%
按下载量换算2,101

Cursor

17.83%
按下载量换算1,215

Gemini CLI

9.38%
按下载量换算639

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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