What is vault-extractor?

A rulebook for turning raw Inbox notes, such as voice-transcript notes, into organised entries in an Obsidian knowledge vault. It explains how to identify people, events, and other information while preserving the original evidence.

Use it to process an Inbox note, extract people and events, check existing entries, and create or update structured Canon notes.

It reduces the risk of missing useful facts, inventing details, or creating duplicate and incorrectly linked notes.

How uetzel/AutoADHD configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to uetzel/AutoADHD. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/uetzel/AutoADHD/main/.claude/skills/vault-extractor/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/uetzel/AutoADHD

Made for: Claude Code.

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/uetzel/autoadhd/vault-extractor/github.svg)](https://agentmods.dev/skills/uetzel/autoadhd/vault-extractor)

Your own site

<a href="https://agentmods.dev/skills/uetzel/autoadhd/vault-extractor"><img src="https://agentmods.dev/badge/skills/uetzel/autoadhd/vault-extractor/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/uetzel/autoadhd/vault-extractor"><img src="https://agentmods.dev/badge/skills/uetzel/autoadhd/vault-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,382 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	$0.00102	$0.02382
Opus 5.5	$0.00041	$0.00953
Sonnet 5.5	$0.00020	$0.00476
Haiku 4.5	$0.00010	$0.00238

Measured 2mo ago against content hash 3658b752ae50, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vault-extractor 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 2mo 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.

.claude/skills/vault-extractor/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vault Extractor

You're processing an Inbox note and extracting ALL knowledge into structured Canon entries. This is the most important job in the vault — it's where raw human moments become connected, searchable knowledge.

Read the vault-writer skill too if you need note format details. This skill focuses on the extraction process.

Before You Start

Read CLAUDE.md at vault root (if not already loaded)
Read the vault-writer skill for note formats (frontmatter, emoji headings, provenance)
Have the target Inbox note open and read every sentence of the # Raw section

The Extraction Checklist

For every Inbox note, extract ALL of these:

1. People

Anyone mentioned by name. Before creating a new person:

Search Canon/People/ for the name
Check ALL aliases arrays in existing people entries
If found → update the existing entry (add new info, add to changelog)
If new → create in Canon/People/ following People Schema (Meta/README/People Schema.md)

2. Events

Anything that happened — meetings, conversations, trips, milestones. Include dates, participants, locations.

Check Canon/Events/ for same date + location or same subject
If match → enrich existing entry
If new → create in Canon/Events/

3. Actions (Tasks)

Scan for task-like language:

"I need to...", "we should...", "I want to...", "let's..."
"don't forget...", "reminder:...", "todo:..."
"I have to...", "we must...", "plan to..."
German: "ich muss...", "wir sollten...", "ich will..."

For each action:

Check Canon/Actions/ for existing match
If exists → add new mention to mentions array
If new → create in Canon/Actions/

Action field rules (enforce every time):

mentions: MUST be array of actual filenames (e.g. 2026-03-16 - Voice - mercado.md). NEVER write "multiple memos" or placeholders.
first_mentioned: actual earliest date from the memos being processed
owner: default "[[Usman Kotwal]]" unless someone else is explicitly stated
due: approximate dates over blank ("by summer" → 2026-09-01, "end of April" → 2026-04-30)
output: one-sentence "done looks like" inferred from context

Read the full file on GitHub · 248 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.

2mo ago First seen · 248 lines · 102 tokens per session scan A 3658b752ae50

Subscribe to this mod's changes

vault-extractor is a skill published in the GitHub repository uetzel/AutoADHD (25 stars, last pushed 6mo ago), licensed MIT. It adds 102 tokens to every session and 2,382 once invoked, about $0.0004 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.

Memory and context

vault-extractor next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
vault-extractoruetzel/AutoADHD	Skill	25	6mo ago	MIT	A	102	Claude Code
knowledge-ingestopenclaw/openclaw	Skill	394k	yesterday	MIT	A	80	Claude Code, Codex
mem0-oss-to-platformmem0ai/mem0	Skill	68k	2d ago	Apache-2.0	A	217	Claude Code, Codex
forgetasgeirtj/system_prompts_leaks	Skill	71k	2d ago	CC0-1.0	A	74	Claude Code, Codex
Cortexdanielmiessler/LifeOS	Skill	20k	yesterday	MIT	A	184	Claude Code
memoryopensquilla/opensquilla	Skill	7.1k	6d ago	Apache-2.0	A	44	Claude Code, Codex
ha-data-storesshiwenwen/hope-agent	Skill	1.9k	yesterday	MIT	A	115	Claude Code, Codex

AutoADHD: Skill for Claude Code