A wiki question-answering tool that searches a local knowledge base and cites the pages it used with internal links.

Use it to find facts, decisions, comparisons, and summaries in the wiki, and to save a new synthesis note for questions that need several pages or a new framing.

It lets you answer questions from filed research instead of rechecking sources or relying on unsupported guesses.

answer — Skill for Claude Code by ignromanov

Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code

/plugin marketplace add ignromanov/llm-obsidian-wiki

Claude Code

/plugin install llm-obsidian-wiki

Made for: Claude Code.

Or install llm-obsidian-wiki, the plugin that ships this one along with the rest of its 8 skills, 2 commands, 4 agents.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ignromanov/llm-obsidian-wiki/answer.svg)](https://agentmods.dev/skills/ignromanov/llm-obsidian-wiki/answer)

Your own site

<a href="https://agentmods.dev/skills/ignromanov/llm-obsidian-wiki/answer"><img src="https://agentmods.dev/badge/skills/ignromanov/llm-obsidian-wiki/answer.svg" alt="Measured on agentmods" height="20"></a>

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 833 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00066	$0.00833
Opus 5	$0.00033	$0.00417
Sonnet 5	$0.00013	$0.00167
Haiku 4.5	$0.00007	$0.00083

Measured 8d ago against content hash 457ea39bdd5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

answer 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.

skills/answer/SKILL.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Answer — Query + Cite

Purpose

Answer user questions using only the wiki/ subtree as the source of truth. Compose answers with [[wikilink]] citations. For non-trivial questions, save synthesis to wiki/synthesis/<topic>.md.

Used by wiki-advisor only.

Trigger phrases

"what do we know about X"
"what did we decide about Y"
"answer from the wiki"
"find in vault"
"summarize what's filed under Z"

Inputs

User question (free text)

Outputs

Inline answer with [[wikilink]] cites
Optionally: wiki/synthesis/<slug>.md (if non-trivial: ≥3 source pages OR new framing)

Hard contract

READ ONLY from wiki/, NEVER from raw/
DO NOT use WebFetch / WebSearch
DO NOT fabricate — if knowledge absent, flag "wiki-researcher should be invoked"
DO NOT edit pages outside wiki/synthesis/

Workflow

Parse intent:
- Factual ("what is X") → retrieve concept + cite
- Comparative ("X vs Y") → retrieve comparison page or build synthesis
- Decision-needed ("which should I use") → retrieve decision pages, surface trade-offs
Hub-route:
- Start at wiki/index.md
- Identify domain hub (wiki/<cluster>.md)
- Drill to relevant concepts/decisions
Multi-stage retrieval with claim-level granularity:
- ${CLAUDE_PLUGIN_ROOT}/scripts/wiki-search.sh --vault $VAULT_PATH --query "<query>"
- For each candidate page, read key_claims first
- Read full body only if claims insufficient
Compose answer:
- State conclusion concisely
- Each non-trivial claim followed by [[wikilink]]
- Hedge with confidence: "according to [[X]] (confidence: medium)..."
- Surface contradictions explicitly: "but [[Y]] disagrees on..."
- Surface open questions: "open question — see [[Z]]"
If non-trivial (≥3 source pages OR new cross-page synthesis):
- Write wiki/synthesis/<slug>.md with filed_from_query: <YYYY-MM-DD> and key_claims
- Add to hot.md: update-hot.sh --section operation --content "wiki-advisor: filed synthesis on <topic>"

Read the full file on GitHub · 93 lines

Changes

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 · 93 lines · 66 tokens per session scan A 457ea39bdd5b

Subscribe to this mod's changes

answer is a skill published in the GitHub repository ignromanov/llm-obsidian-wiki (19 stars, last pushed 3mo ago), licensed MIT. It adds 66 tokens to every session and 833 once invoked, about $0.0003 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 2026-08-30.

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