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 tboome33/obsidian-mcp-router --skill wiki-exportgit clone --depth 1 https://github.com/tboome33/obsidian-mcp-routerWrote 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/tboome33/obsidian-mcp-router/wiki-export)<a href="https://agentmods.dev/skills/tboome33/obsidian-mcp-router/wiki-export"><img src="https://agentmods.dev/badge/skills/tboome33/obsidian-mcp-router/wiki-export/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/tboome33/obsidian-mcp-router/wiki-export"><img src="https://agentmods.dev/badge/skills/tboome33/obsidian-mcp-router/wiki-export.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 | $0.00129 | $0.03544 |
| Opus 5 | $0.00064 | $0.01772 |
| Sonnet 5 | $0.00026 | $0.00709 |
| Haiku 4.5 | $0.00013 | $0.00354 |
Grade A, and why
wiki-export 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wiki-export
Build a portable export of a vault's wiki — a single llmstxt.org file, or a multi-file Open Knowledge Format (OKF v0.1) bundle. The export is read-only on the wiki — it never mutates content pages (OKF output lands under wiki-meta/exports/).
Three output modes
| Target | Output | Content | Typical size |
|---|---|---|---|
llms (default) |
llms.txt |
Index format : H1 + blurb + H2 sections + bullet list [title](path) : description. Compact — links to pages, no bodies. |
hundreds of lines |
full |
llms-full.txt |
Same structure as llms.txt but each page body inlined under its bullet. Heavy — full reproduction of the wiki content. |
thousands to tens of thousands of lines |
okf |
wiki-meta/exports/okf/<bundle-name>/ (directory) |
A conformant OKF v0.1 knowledge bundle : one markdown file per page (slugified names, wikilinks → relative markdown links, mapped frontmatter), one index.md per folder, a newest-first log.md, optional agent README. Ready to git init + push and be consumed by any OKF-aware agent. |
one file per exported page + indexes |
Other targets listed in the roadmap (json, json-ld, graphml, marp) are deferred — not implemented in this skill version.
Pre-conditions
- Target vault has
wiki-meta/catalog.md(the catalog the export structure is derived from). If absent, suggest thewikiskill to bootstrap first. - Vault is online (call
list_vaults).
When to use
- "Export my wiki so I can share it with X" / "make an llms.txt for this vault"
- "I want to consult my wiki from Perplexity / ChatGPT" — feed them the
llms.txt(compact) orllms-full.txt(with full content) - "Backup the wiki to a single file" —
llms-full.txtmode - "Publish my wiki for AI search visibility" —
llms.txtat the root of a static site - "Export this folder as an OKF bundle" / "share my wiki as a knowledge bundle other agents can mount" —
okftarget. This is the format for agent-to-agent knowledge sharing (the Cole Medin bundle pattern) : the recipient pastes one prompt and their agent consumes the bundle directly.
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.
- 7d ago First seen · 226 lines · 129 tokens per session scan A 76c6c93edd13
wiki-export is a skill published in the GitHub repository tboome33/obsidian-mcp-router (1 stars, last pushed today), licensed Apache-2.0. It adds 129 tokens to every session and 3,544 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
librarian
Orchestrate vault knowledge workflows using the Librarian MCP server. Ingest solutions, search prior art, explore the knowledge graph, log daily learnings.
llm-wiki
Build and maintain a persistent, interlinked Obsidian-compatible markdown wiki using Karpathy's LLM Wiki pattern. Extension-backed with auto-generated metadata, guardrails, and 14 custom tools (+3 opt-in agent-trajectory tools).
okf
Author, maintain, and consume Open Knowledge Format (OKF) knowledge bundles — portable markdown + YAML frontmatter that both humans and agents read. Use when capturing project knowledge (services, APIs, schemas, metrics, runbooks, decisions) into an OKF bundle, when updating one after code or docs change, or when a…
llm-wiki
Build and maintain an LLM-curated personal knowledge base — the "LLM Wiki" pattern from Andrej Karpathy's April 2026 gist. Use this skill whenever the user wants to ingest a source (paper, article, transcript, PDF, notes) into a persistent compounding knowledge base, ask a question against accumulated notes, lint or…
mindbase
Maintain a persistent AI-tended research wiki. Activates when the user wants to ingest a source (PDF, URL, article, paste), capture a thought, build the wiki context, query what's already known, lint for orphans/contradictions, or maintain page conventions. Phrases include "add this to my wiki", "today I decided…"…
save-md
Saves a named source to Markdown with provenance and faithful extraction through direct export endpoints. Use when asked to "save this article", "get the markdown", "transcribe this", or "keep this source". A URL supplied as task context alone does not trigger conversion; a chat summary stays in chat.