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.
curl -O https://raw.githubusercontent.com/uetzel/AutoADHD/main/CLAUDE.mdgit clone --depth 1 https://github.com/uetzel/AutoADHDWrote 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/instructions/uetzel/autoadhd/claude-md)<a href="https://agentmods.dev/instructions/uetzel/autoadhd/claude-md"><img src="https://agentmods.dev/badge/instructions/uetzel/autoadhd/claude-md/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/instructions/uetzel/autoadhd/claude-md"><img src="https://agentmods.dev/badge/instructions/uetzel/autoadhd/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.03826 | $0.03826 |
| Opus 5.5 | $0.01530 | $0.01530 |
| Sonnet 5.5 | $0.00765 | $0.00765 |
| Haiku 4.5 | $0.00383 | $0.00383 |
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 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.
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
# Rawin 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.
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 · 383 lines · 3,826 tokens per session scan A 8eadfbb13ee3
AutoADHD CLAUDE.md is an instructions file published in the GitHub repository uetzel/AutoADHD (25 stars, last pushed 6mo ago), licensed MIT. It adds 3,826 tokens to every session, about $0.0153 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.
AutoADHD CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| AutoADHD CLAUDE.mduetzel/AutoADHD | Instructions file | 25 | 6mo ago | MIT | A | 3,826 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |