AutoADHD CLAUDE.md

Instructions for working in AutoADHD, an Obsidian vault where notes are stored as files and tracked with Git.

In plain words
What is it for?
Use them when creating or editing notes, linking related notes, maintaining structured records, adding researched context with sources, or writing AI reflections.
Why use it?
They explain which notes may be changed, protect raw transcript material, and require uncertain information to be stated rather than invented.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/uetzel/autoadhd/claude-md
Clone the repo
git clone --depth 1 https://github.com/uetzel/AutoADHD
Per session 3,826 This file is loaded in full into every session.
When invoked 3,826 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.03826 $0.03826
Opus 5 $0.01913 $0.01913
Sonnet 5 $0.00765 $0.00765
Haiku 4.5 $0.00383 $0.00383

Measured 3d ago against content hash 8eadfbb13ee3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AutoADHD CLAUDE.md 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.

CLAUDE.md · 383 lines

How it starts

The opening of the file, as written. The whole thing — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

You are an AI agent operating inside an Obsidian vault. Git tracks every change. If something goes wrong, we revert.


WHAT YOU CAN DO

  • Create, edit, and delete notes in any folder
  • Add new Canon entries directly (people, events, concepts, decisions, projects, actions — or new types as needed)
  • Update existing Canon entries with new information
  • Create and maintain wikilinks between notes
  • Evolve the structure: new types, new relationship patterns, new folders are fine
  • Research external context for concepts/ideas and add with proper source attribution
  • Write AI reflections and observations to Meta/AI-Reflections/

WHAT YOU MUST NOT DO

  • Never edit content under # Raw in any Inbox note. Raw transcripts are source evidence and are read-only.
  • Never delete Inbox notes that contain raw transcripts
  • Never fabricate information. If you're unsure, say so.

SKILLS (just-in-time context)

Skills inject focused rules at the moment you need them, instead of relying on this file surviving a long conversation. They live in .claude/skills/ and are loaded on demand.

Skill When to load What it contains
vault-writer Creating or editing ANY vault note Note format, frontmatter, emoji headings, provenance, wikilinks, folder map
vault-extractor Processing an Inbox note into Canon entries Full extraction checklist, action detection, reflection handling, duplicate detection, write-back rules

For Cowork sessions: Skills load automatically when triggered by the task description.

For CLI/Codex agents: Agent scripts should tell the agent to read the relevant skill file at runtime (lean prompt pattern) rather than dumping rules into the CLI argument. Example: "Read .claude/skills/vault-writer/SKILL.md before creating any notes."

Token discipline: Skills replace the need to load this entire CLAUDE.md into every agent prompt. Load only what the task requires. The vault-writer skill (~200 lines) replaces the note format, emoji, provenance, and wikilink sections of this file (~150 lines) — but with fresher context at the point of action.

Read the full file on GitHub · 383 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.

  1. 3d ago First seen · 383 lines · 3,826 tokens per session scan A 8eadfbb13ee3

Subscribe to this mod's changes

AutoADHD CLAUDE.md is an instructions file published in the GitHub repository uetzel/AutoADHD (22 stars, last pushed 4mo ago), licensed MIT. It adds 3,826 tokens to every session, about $0.0191 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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