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 wikigit 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)<a href="https://agentmods.dev/skills/tboome33/obsidian-mcp-router/wiki"><img src="https://agentmods.dev/badge/skills/tboome33/obsidian-mcp-router/wiki/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"><img src="https://agentmods.dev/badge/skills/tboome33/obsidian-mcp-router/wiki.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 | $0.00134 | $0.02290 |
| Opus 5 | $0.00067 | $0.01145 |
| Sonnet 5 | $0.00027 | $0.00458 |
| Haiku 4.5 | $0.00013 | $0.00229 |
Grade A, and why
wiki 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 8d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wiki
This skill creates the four scaffolding files at the root of a vault that turn it into a Karpathy-style LLM wiki. The pattern: an LLM ingests sources, files them as wiki pages, and maintains the catalog/log/hot-cache so future sessions can navigate and build on prior knowledge cheaply.
When to use
- The user has an Obsidian vault and wants Claude to start using it as a knowledge base across sessions.
- The user asks "/wiki" or "set up the wiki".
- A vault already has notes but no
wiki/folder, and the user wants to graduate it to a wiki.
When NOT to use
- The user just wants to write a single note → don't scaffold.
- The vault already has
wiki-meta/catalog.mdand looks healthy → suggestwiki-lintinstead. - The user is asking how the pattern works conceptually → explain, don't scaffold.
Pre-flight
Before scaffolding, you must know:
- Which vault to scaffold in. Call
mcp__obsidian-router__list_vaultsfirst. If the user said "this vault" without specifying, use the default vault. If multiple vaults are configured, ask which. - Which mode the wiki targets — this affects only the seed of
catalog.mdandoverview.md. Common modes:personal— second brain, journals, projects, referencesresearch— papers, concepts, hypotheses, methodologybusiness— competitors, customers, decisions, stakeholderscode— codebases, ADRs, runbooksdomain— anything else (let the user describe in 1 sentence)
If the user didn't say, ask in one short question. Don't enumerate all modes — give 2-3 likely ones based on context.
Steps
-
Verify the target vault is online via
list_vaults. Bail with a clear message ifonline: falseormissingApiKey: true. -
Check whether
wiki-meta/catalog.mdalready exists:mcp__obsidian-router__get_file({ vault: <name>, path: "wiki-meta/catalog.md" })If it returns 200 → the wiki is already scaffolded. Tell the user, offer to run
wiki-lintinstead. Stop.
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.
- 8d ago First seen · 114 lines · 134 tokens per session scan A 0550ad0964e1
wiki is a skill published in the GitHub repository tboome33/obsidian-mcp-router (1 stars, last pushed today), licensed Apache-2.0. It adds 134 tokens to every session and 2,290 once invoked, about $0.0007 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).
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…"…
bastra-recall
Persistent external brain for ChatGPT, Codex, Claude, and other MCP clients — documents (PDFs, contracts, scans with OCR), personal facts (appointments, decisions, items, amounts), AND code lessons / preferences / project topology. USE PROACTIVELY in three modes. (1) RECALL — whenever the user asks about anything from…
bastra-recall
Proactive private local memory for ChatGPT and Codex — recall before acting, save durable rules, lessons and decisions without being asked. Requires the local bastra-recall MCP server installed by bastra install codex.