obsidian-wiki is a framework that helps AI agents build and maintain an interconnected knowledge base from text-based material in an Obsidian vault. It is for people who want their agents to remember discoveries, connect related information, and answer questions with wiki-link citations. Catalogue add-ons provide the agent skills, instructions, agents, and configuration used to create and maintain these wikis.
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 Ar9av/obsidian-wiki --skill wiki-researchgit clone --depth 1 https://github.com/Ar9av/obsidian-wikiWrote 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/ar9av/obsidian-wiki/wiki-research)<a href="https://agentmods.dev/skills/ar9av/obsidian-wiki/wiki-research"><img src="https://agentmods.dev/badge/skills/ar9av/obsidian-wiki/wiki-research/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/ar9av/obsidian-wiki/wiki-research"><img src="https://agentmods.dev/badge/skills/ar9av/obsidian-wiki/wiki-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 83 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Excessive Agency · line 150 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00042 | $0.03180 |
| Opus 5.5 | $0.00017 | $0.01272 |
| Sonnet 5.5 | $0.00008 | $0.00636 |
| Haiku 4.5 | $0.00004 | $0.00318 |
Grade A, and why
wiki-research 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 yesterday.
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 — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wiki Research — Autonomous Multi-Round Research
You are running an autonomous research loop on a topic, synthesizing what you find, and filing the results into the Obsidian wiki as permanent knowledge.
Before You Start
Writing profile: Before drafting or rewriting natural-language Markdown, read and apply the Writing Profile Resolution section in llm-wiki/SKILL.md. Framework schema, provenance, safety, and operation-specific requirements take precedence.
WRITING.md preferences apply only to newly drafted or rewritten natural-language Markdown; preserve source content and structured records.
- Resolve config — follow the Config Resolution Protocol in
llm-wiki/SKILL.md(inline@nameoverride → walk up CWD for.env→ global config → prompt setup). This givesOBSIDIAN_VAULT_PATHandOBSIDIAN_LINK_FORMAT(default:wikilink). - Read
$OBSIDIAN_VAULT_PATH/index.mdto understand what's already in the wiki — don't re-research things the wiki covers well - Read
$OBSIDIAN_VAULT_PATH/hot.mdif it exists — it surfaces recent context - Check
$OBSIDIAN_VAULT_PATH/references/research-config.mdif it exists — it may define source preferences, domains to skip, or confidence rules for this vault - Check
$OBSIDIAN_VAULT_PATH/references/research-backends.mdif it exists — it registers optional CLI retrieval backends (social media, video transcripts, paid APIs, etc.). Load any available backends into your working state for this session.
When writing internal links in generated pages, apply the link format from llm-wiki/SKILL.md (Link Format section) using the OBSIDIAN_LINK_FORMAT value.
Confirm the research topic with the user if it's ambiguous. Then proceed.
Research Configuration (optional)
If references/research-config.md exists in the vault, read it and apply any rules it defines:
- Source preferences (e.g., prefer academic sources, avoid certain domains)
- Domains to skip
- Confidence scoring adjustments
- Topic-specific constraints
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.
- yesterday Changed 5f2641393366
- 3d ago Changed 71fbb0dc01e7
- 24d ago Changed dd91c8e31df6
- 1mo ago Changed · -3 lines · -45 tokens per session 68d2f944fb07
- 1mo ago Changed · +6 lines 866981da804e
- 2mo ago First seen · 320 lines · 87 tokens per session scan A 8ceeb90de346
wiki-research is a skill published in the GitHub repository Ar9av/obsidian-wiki (3,691 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 3,180 once invoked, about $0.0002 per session on Opus 5.5. 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.
wiki-research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| wiki-researchAr9av/obsidian-wiki | Skill | 3.7k | yesterday | MIT | A | 42 | Claude Code |
| llm-wikiTheSmuks/ai-project-template | Skill | 8 | 11d ago | MIT | A | 31 | Claude Code, Codex |
| llmwikiatomicstrata/llm-wiki-compiler | Skill | 2.2k | 7d ago | MIT | A | 66 | Claude Code, Codex |
| llm-wikizosmaai/pi-llm-wiki | Skill | 623 | 3d ago | MIT | A | 52 | Claude Code |
| link-memorygowtham0992/link | Skill | 218 | 7d ago | MIT | A | 0 | Claude Code, Codex |
| link-retrievegowtham0992/link | Skill | 218 | 7d ago | MIT | A | 42 | Claude Code, Codex |
| link-ingestgowtham0992/link | Skill | 218 | 7d ago | MIT | A | 44 | Claude Code, Codex |