auto: Instructions file for Claude Code

CLAUDE.md

auto CLAUDE.md is an instructions file for Claude Code from RightNow-AI/auto. It costs 1,838 tokens per session, scanned A, original, Apache-2.0.

A repository guide for Auto, an experimental system that turns repeated AI-agent reasoning into a compiled, reusable program. It documents the project’s goals, data objects, processing pipeline, technology choices, and working rules.

In plain words
What is it for?
Use it when working on the Auto codebase and needing its architecture, terminology, pipeline, or guardrails. Read it before changing code so your work matches the project’s stated design.
Why use it?
It gives contributors one shared description of how the project should work and what constraints they must follow. It also explains how Auto aims to make agent behavior more repeatable, inspectable, and less costly.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; positional $N argument.

This is RightNow-AI/auto's own configuration. It tells Claude Code how to work on auto itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything auto configures →

Reuse

Borrowing it

Nothing to install: this file belongs to RightNow-AI/auto. 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/RightNow-AI/auto/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/RightNow-AI/auto

Made for: Claude Code.

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Per session 1,838 This file is loaded in full into every session.
When invoked 1,838 The same file — it is already loaded in full.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01838 $0.01838
Opus 5.5 $0.00735 $0.00735
Sonnet 5.5 $0.00368 $0.00368
Haiku 4.5 $0.00184 $0.00184

Measured 2mo ago against content hash 5888ac7d1935, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

auto 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.

CLAUDE.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md, Auto (the AGI compiler)

read this fully before touching code. it records the vision, objects, pipeline, stack, norms, and guardrails we hold this project to. everyone working on the repo follows it.

what this is

Auto converts interpreted cognition into compiled cognition. today an agent run re-derives its plan token by token on a frontier model: brilliant, expensive, unbounded, unauditable. Auto records that behavior, proves what is secretly symbolic, distills what is not, verifies the result against a behavioral contract, and emits a cognition binary that is bounded, reproducible, capability-confined, roughly 1000x cheaper and 100x faster. speech, then writing, then computation, then cognition: the fourth compilation event. the interpreter is model-agnostic by design. it is a frontier LLM today, but nothing in the pipeline assumes that, so the same loop compiles the behavior of whatever sits at tier-0 next, world models included. the end state we are building toward: contracts as executable institutions, the IR as the shared language of cognitive work, binaries as the commodity form of expertise, and a tiered runtime where nothing is ever figured out twice.

the three objects

  1. auto, the compiler. cli + service. auto record (attach to a live agent, capture traces) to auto compile --contract (lower to IR, run passes, verify) to task.cbin.
  2. the runtime. tiered execution. tier-1: compiled fast path. tier-0: frontier model as interpreter, for novelty. guards on every compiled entry; guard trip to deopt to tier-0 to capture trace to recompile. the ratchet: every novel solve compiles back down. nothing figured out twice.
  3. the artifact + registry. .cbin = code + small models + kernels + manifest (eval scores, cost/latency bounds, capability requirements, full provenance: traces, reference model, eval run ids). content-addressed, sigstore-signed. the manifest is the trust layer, it is never aspirational, only measured.

Read the full file on GitHub · 91 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. 2mo ago First seen · 91 lines · 1,838 tokens per session scan A 5888ac7d1935

Subscribe to this mod's changes

auto CLAUDE.md is an instructions file published in the GitHub repository RightNow-AI/auto (131 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,838 tokens to every session, about $0.0074 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.

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