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-digestgit 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-digest)<a href="https://agentmods.dev/skills/ar9av/obsidian-wiki/wiki-digest"><img src="https://agentmods.dev/badge/skills/ar9av/obsidian-wiki/wiki-digest/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-digest"><img src="https://agentmods.dev/badge/skills/ar9av/obsidian-wiki/wiki-digest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00121 | $0.03008 |
| Opus 5 | $0.00060 | $0.01504 |
| Sonnet 5 | $0.00024 | $0.00602 |
| Haiku 4.5 | $0.00012 | $0.00301 |
Grade A, and why
wiki-digest 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- beeweave-digest — 89% identical, 52 lines differ
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wiki Digest — Knowledge Newsletter Generator
You are generating a human-readable digest of recent wiki activity: what was learned, what was updated, what themes are emerging, and what's worth reviewing. This skill summarizes knowledge, not sources — think of it as a weekly review session, not an ingestion status report.
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. - Parse the period from the user's request:
- "daily" / "today" / "yesterday" → last 24 hours
- "weekly" / "this week" / no argument (default) → last 7 days
- "monthly" / "this month" → last 30 days
- ISO date like "since 2026-05-01" → pages updated since that date
- Explicit number like "last 14 days" → that many days
- Read
$OBSIDIAN_VAULT_PATH/log.md— last 200 lines — for entries within the period (timestamps are ISO-8601 prefixed lines). - Read
$OBSIDIAN_VAULT_PATH/hot.mdfor current session context. - If
$OBSIDIAN_VAULT_PATH/_insights.mdexists, read its Anchor Pages table — you'll use it later to identify which new pages became hubs.
Step 1: Collect Pages Active in the Period
Glob all .md files under $OBSIDIAN_VAULT_PATH. Skip special/system files:
index.md,log.md,hot.md,AGENTS.md,_insights.md- Anything under
_meta/,_archives/,_raw/ - Journal digest pages themselves (
journal/digest-*.md)
For each remaining page, read its frontmatter:
created— when the page was first writtenupdated— when it was last modified
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.
- 9d ago First seen · 244 lines · 121 tokens per session scan A 506babc2f46a
wiki-digest is a skill published in the GitHub repository Ar9av/obsidian-wiki (3,378 stars, last pushed 3d ago), licensed MIT. It adds 121 tokens to every session and 3,008 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 2026-08-30.
Other skills, from other repositories
knowledge-base-management
A lifecycle system for managing an Obsidian knowledge base, which is a folder of linked notes. It organizes raw material, AI-maintained wiki pages, and generated views into separate layers.
llm-wiki
Maintain a personal team knowledge base using the LLM Wiki pattern — incremental ingest, query, and lint operations on a layered wiki architecture.
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).
link-memory
Use after important user-approved decisions, when durable context should be proposed or reviewed, and for explicit Link memory lifecycle work: remember, recall, review, update, archive, restore, forget, or explain local memories through the CLI without requiring MCP.
link-retrieve
Use before answering work that may depend on user memory, project history, source-backed notes, or prior decisions; retrieve compact Link context through the CLI without loading the whole wiki or requiring MCP.
link-ingest
Use when raw files are present, source pages look stale, or a user asks to ingest notes into Link; refresh source-backed wiki pages, propose memories, and validate updates through the CLI without MCP.