claude-obsidian is a local knowledge system that turns source material into linked, source-cited Markdown notes in an Obsidian vault for use with Claude Code and compatible agent hosts. People use it to capture research, retrieve evidence-grounded answers, maintain knowledge, and map connections while retaining ownership of their files. The catalogue entries provide workflows and extensions for operating this knowledge system.
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 AgriciDaniel/claude-obsidian --skill wiki-modegit clone --depth 1 https://github.com/AgriciDaniel/claude-obsidianWrote 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/agricidaniel/claude-obsidian/wiki-mode)<a href="https://agentmods.dev/skills/agricidaniel/claude-obsidian/wiki-mode"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-obsidian/wiki-mode/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/agricidaniel/claude-obsidian/wiki-mode"><img src="https://agentmods.dev/badge/skills/agricidaniel/claude-obsidian/wiki-mode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00083 | $0.01267 |
| Opus 5.5 | $0.00033 | $0.00507 |
| Sonnet 5.5 | $0.00017 | $0.00253 |
| Haiku 4.5 | $0.00008 | $0.00127 |
Grade A, and why
wiki-mode scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Route by vault methodology
This skill returns filing suggestions. It does not write knowledge pages or
move existing notes. If .vault-meta/mode.json is absent, use generic. If
the file exists but is invalid, fail closed and repair it through a reviewed
configuration operation before suggesting routes; never silently substitute
Generic for corrupt user configuration.
Resolve the installed product root from this skill's own location, not from the vault or current working directory:
PRODUCT_ROOT=/absolute/path/to/installed/claude-obsidian
CORE="$PRODUCT_ROOT/scripts/claude-obsidian.py"
MODE_HELPER="$PRODUCT_ROOT/scripts/wiki-mode.py"
test -f "$CORE" && test -f "$MODE_HELPER"
Every ../wiki/references/ link in this file resolves the same way, relative
to this skill's own directory under $PRODUCT_ROOT, never relative to the
selected vault's wiki/ directory.
Read and route safely
Always select the vault explicitly:
python3 "$MODE_HELPER" --vault "$VAULT" get
python3 "$MODE_HELPER" --vault "$VAULT" config
python3 "$MODE_HELPER" --vault "$VAULT" route concept "Concept name"
python3 "$MODE_HELPER" --vault "$VAULT" route source "Source title"
The helper validates the selected vault, confines paths, sanitizes names, and prints a suggestion only. A calling skill may override the suggestion when the user supplies a more specific project, area, MOC, or parent note, but it must still apply its eventual writes through one operation transaction.
| Mode | Routing intent |
|---|---|
generic |
Type-based folders such as sources, entities, concepts, and sessions. |
lyt |
Atomic notes under wiki/notes/, connected through MOCs. |
para |
Projects, Areas, Resources, or Archives chosen by actionability. |
zettelkasten |
Flat atomic notes with time-sortable, collision-resistant identifiers and explicit links. |
Use the templates as structural guidance: LYT atomic,
LYT MOC, PARA area,
PARA project,
PARA resource, or
Zettelkasten atomic. They use canonical
type values from claude_obsidian/page_schema.py and a separate flat
methodology_role property:
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago Changed · +22 lines 47d267864295
- 1mo ago Changed · +4 lines 4862cce74fa5
- 1mo ago First seen · 91 lines · 83 tokens per session scan A 13800d7af854
wiki-mode is a skill published in the GitHub repository AgriciDaniel/claude-obsidian (15,791 stars, last pushed 2d ago), licensed MIT. It adds 83 tokens to every session and 1,267 once invoked, about $0.0003 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.
Other skills, from other repositories
screenpipe-api
Query the user's local and synced-device data via the screenpipe REST API at localhost:3030 — recordings, audio, UI, meetings, connected services, and memory. Use for screen activity, other-device or cross-device history, productivity, media export, connections, durable memory, or discovering and automating saved…
follower-onboard
Onboard a new machine as a receive-only follower on a multi-machine agent network: it reads the shared vault, canon, skills and memory, runs nothing heavy locally (no RAG, reindex or GPU), and never receives executable hooks from the hub. Checklist-driven, with a verify step at each stage. Triggers: "/follower-onboard…
brain-onboard
An onboarding workflow that helps another person create and use their own private knowledge store, sometimes called a second brain. It gathers their information with consent, saves it in their own workspace, and demonstrates a first useful result.
memory-tidy
Tidy an agent's always-loaded memory index (MEMORY.md) on macOS or Linux: trim long lines, move closed entries to an archive, fold domains into hub files, restore dropped pins and add pointers for orphan memory files. Use when the index is over budget or has orphans. Triggers: /memory-tidy, /mt, tidy memory.
claudeai-sync
Pull new and changed claude.ai web conversations into an Obsidian vault, extract artifacts as first-class notes, concept-link them, and refresh the RAG index and dashboard. Idempotent: curated notes are never overwritten. Triggers: "/claudeai-sync", "pull claude.ai", "grab new claude.ai chats".
gemini-sync
A data-import workflow that reads a Google Takeout export of Gemini Apps activity and adds the conversation history to an Obsidian vault and a SQLite database. Google Takeout is Google’s tool for downloading a copy of account data.