Borrowing it
Nothing to install: this file belongs to happyhappy-jun/writing-driven-autoresearch. 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/happyhappy-jun/writing-driven-autoresearch/main/CLAUDE.mdgit clone --depth 1 https://github.com/happyhappy-jun/writing-driven-autoresearchWrote 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/happyhappy-jun/writing-driven-autoresearch/claude-md)<a href="https://agentmods.dev/instructions/happyhappy-jun/writing-driven-autoresearch/claude-md"><img src="https://agentmods.dev/badge/instructions/happyhappy-jun/writing-driven-autoresearch/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/happyhappy-jun/writing-driven-autoresearch/claude-md"><img src="https://agentmods.dev/badge/instructions/happyhappy-jun/writing-driven-autoresearch/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 | $0.01575 | $0.01575 |
| Opus 5 | $0.00788 | $0.00788 |
| Sonnet 5 | $0.00315 | $0.00315 |
| Haiku 4.5 | $0.00158 | $0.00158 |
Grade A, and why
writing-driven-autoresearch 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 10d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What this is
/home/lobster is the orchestration root for a 3-hour, fully autonomous
research sprint producing an ICML-workshop paper on Depth-AR (training-free
Transformer layer skipping: predict a skipped block's residual update from the
preceding depth trajectory instead of assuming it is zero).
~/DEPTH-AR-PLAN.md is the spec. Read it before any research decision. It
is 1100 lines and covers the method, the gates, the pre-committed pivots, and a
paper story for every outcome including negative ones. The persona files are the
operating manual; the plan is the source of truth.
This is not a normal repo. It is a three-agent team running against a clock.
The three agents
Each runs as a Claude pane in the herdr tab ralph, all with cwd /home/lobster.
Read the persona file for whichever role you are before doing anything.
| Agent | Persona | Owns | Never touches |
|---|---|---|---|
master |
~/master.md |
the clock, gates, decisions, shared state | doesn't run experiments or edit LaTeX |
experiment |
~/experiment.md |
~/auto-research/, all GPUs, all model loading, fitting, eval, result JSON |
~/writing/ — not one character |
writing |
~/writing.md |
~/writing/ (Overleaf git bridge, all .tex, captions, citations, the build) |
never runs a model or touches a GPU |
Also: ~/writing-guidelines.md, ~/writing-style-guide.md for prose rules.
There is no human. Nobody will answer a question, ever. Never call
AskUserQuestion; never end a turn waiting for input. Every decision comes from
the pre-committed defaults in the persona files within the time budget. A wrong
decision made beats a right decision deferred. If genuinely stuck, take the
reversible option, log it in ~/ralph/DECISIONS.md, and move on.
Shared state — the contract between agents
Everything crossing an agent boundary goes through a file, never through chat.
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.
- 10d ago First seen · 126 lines · 1,575 tokens per session scan A 1489d9205b45
writing-driven-autoresearch CLAUDE.md is an instructions file published in the GitHub repository happyhappy-jun/writing-driven-autoresearch (21 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 1,575 tokens to every session, about $0.0079 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 instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.