Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add thoreinstein/obsidian-rag --skill cross-linkergit clone --depth 1 https://github.com/thoreinstein/obsidian-ragWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thoreinstein/obsidian-rag/cross-linker)<a href="https://agentmods.dev/skills/thoreinstein/obsidian-rag/cross-linker"><img src="https://agentmods.dev/badge/skills/thoreinstein/obsidian-rag/cross-linker/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thoreinstein/obsidian-rag/cross-linker"><img src="https://agentmods.dev/badge/skills/thoreinstein/obsidian-rag/cross-linker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00055 | $0.00864 |
| Opus 5.5 | $0.00022 | $0.00346 |
| Sonnet 5.5 | $0.00011 | $0.00173 |
| Haiku 4.5 | $0.00006 | $0.00086 |
Grade A, and why
cross-linker scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to cross-linker — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cross-Linker
Discover unlinked mentions of vault concepts and insert [[wikilinks]]. Complements link-audit (which finds broken/orphan links) by finding links that should exist but don't.
Workflow
Phase 1 — Build Page Registry
- Call
obsidian_list_noteson the target scope (default:Engineering/). - For each note, call
obsidian_read_noteand extract from frontmatter:- Title (from
# headingor filename) - Aliases (from
aliases:frontmatter field, if present) - Type (pattern, trap, decision, concept)
- Title (from
- Build a registry:
{ title, aliases[], path, type }for each note.
For large scopes (>50 notes), batch reads and process incrementally.
Phase 2 — Scan for Unlinked Mentions
For each note in scope:
- Call
obsidian_read_noteto get the full body text. - For each other page in the registry, check if the page's title or any alias appears in the body text without being wrapped in
[[...]]. - Skip matches inside:
- Existing wikilinks
[[...]] - Code blocks (fenced or inline)
- Frontmatter
- The note's own title/heading
- Existing wikilinks
- Record each match:
{ source_note, target_note, matched_text, line_context, confidence }
Phase 3 — Score and Rank
Assign confidence to each proposed link:
- High — exact title match (case-insensitive), target is a Pattern/Trap/Decision note
- Medium — alias match, or title match in a less structured note
- Low — partial match or only semantically related (use
obsidian_rag_queryto verify)
Sort findings: high confidence first, grouped by source note.
Phase 4 — Present Findings
Show the user a report:
## Cross-Link Report for: Engineering/
### High Confidence (auto-apply)
- Engineering/Patterns/table-driven-tests.md
Line 12: "table driven tests" → [[Table-Driven Tests]]
### Medium Confidence (confirm each)
- Engineering/Traps/mock-drift.md
Line 8: "interface injection" → [[Interface Injection]]
### Low Confidence (review)
- working/appiary/knowledge/auth.md
Line 23: "token" → possibly [[Token Rotation]] ?
### Summary
- X high-confidence links ready to apply
- Y medium-confidence links for review
- Z low-confidence suggestions
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 91 lines · 55 tokens per session scan A 7d993a1c5c30
cross-linker is a skill published in the GitHub repository thoreinstein/obsidian-rag (2 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 864 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to cross-linker, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
obsidian-markdown
Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.
obsidian-bases
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
obsidian
Comprehensive guidelines for Obsidian.md plugin development including ESLint rules from eslint-plugin-obsidianmd v0.4.2, TypeScript best practices, memory management, API usage (requestUrl vs fetch), UI/UX standards, popout window compatibility, community.obsidian.md submission process, and Scorecard optimization. Use…
repo-visuals
Create hero visuals — animated GIF, static PNG, or animated SVG — for GitHub repositories. Runs a structured discovery conversation (scan repo → recommend format → propose creative scenarios → agree on a brief), then designs bespoke HTML/SVG, previews it in the browser, and exports. Use when the user asks for a README…
text-stats
Compute word count, character count, or reading time for a piece of text using the in-bundle text-stats engine. Invoke whenever the user asks how long a passage is, how many words or characters it has, or how long it takes to read.
document-writer
Use when writing or improving technical documentation, API references, runbooks, onboarding guides, READMEs, changelogs, ADRs, release notes, or any content that ships to engineers or end users. Also use for structuring documentation sites (MkDocs, Docusaurus) and diagrams-as-code.