locus: Instructions file for Claude Code

CLAUDE.md

locus CLAUDE.md is an instructions file for Claude Code from Nano-Nimbus/locus. It costs 1,280 tokens per session, scanned A, original, MIT.

A set of project instructions for Claude Code, stored in a file named CLAUDE.md. It describes Locus, a markdown-based memory system where directories act as knowledge areas that an AI agent can consult when needed.

In plain words
What is it for?
Use it when working on Locus or a similar agent memory system, especially when studying existing memory files, skills, commands, and project architecture.
Why use it?
The instructions give an agent the project’s purpose, memory conventions, and runtime structure before it changes the code. They also require the system to work with different AI agents, not only Claude.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is Nano-Nimbus/locus's own configuration. It tells Claude Code how to work on locus 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 locus configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Nano-Nimbus/locus. 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/Nano-Nimbus/locus/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Nano-Nimbus/locus

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 1,280 This file is loaded in full into every session.
When invoked 1,280 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 $0.01280 $0.01280
Opus 5.5 $0.00512 $0.00512
Sonnet 5.5 $0.00256 $0.00256
Haiku 4.5 $0.00128 $0.00128

Measured 1mo ago against content hash 24f7ffccd1ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

locus 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 1mo 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 · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Guidance for Claude Code (claude.ai/code) working in this repository.

What Locus is

Locus is a hierarchical markdown memory system for autonomous AI agents (a "palace": directory = room, file = knowledge, navigated on demand instead of loaded all at once). It ships as four things: SKILL.md files for Claude Code (skills/claude/, the only maintained set; other runtimes adapt these files rather than getting a vendored copy), an MCP server (locus-mcp), a Python Agent SDK entrypoint (locus), and standalone CLI tools for retrieval, conformance, and security. Current package version: 0.10.0.

For the full pitch, structure diagram, and contributor workflow see README.md and CONTRIBUTING.md. This file only covers what a coding agent needs to orient fast.

Module layout

Seven packages under locus/. Six of them have their own main.py; locus/feedback/ is the exception, it has no CLI and no main.py:

Module Purpose
locus/agent/ Agent SDK entrypoint (the locus CLI when no subcommand matches), run metrics
locus/audit/ Palace health auditor (locus-audit CLI): scanner, scorer, report
locus/conform/ OKF conformance: locus lint and locus index (rules, fixer, generators)
locus/feedback/ Inferred disagreement-signal classifier consumed by the Locus skill layer (see spec/inferred-feedback.md); not imported by the Agent SDK runtime, no main.py
locus/mcp/ MCP server (locus-mcp CLI): palace resolution, path safety, tool handlers
locus/recall/ locus recall: SQLite FTS5 index shared with the memory_search MCP tool
locus/security/ Ed25519 signing system (locus-security CLI): keys, taint, nonce, middleware

Plus locus/cli.py (console-script dispatch, see below) and locus/utils.py (shared helpers, e.g. slug_from_path).

Console scripts and dispatch

pyproject.toml defines four entry points: locus, locus-audit, locus-mcp, locus-security.

Read the full file on GitHub · 90 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. 1mo ago Changed · -2 lines · +333 tokens per session 24f7ffccd1ed
  2. 1mo ago First seen · 92 lines · 947 tokens per session scan A 81f5817c305b

Subscribe to this mod's changes

locus CLAUDE.md is an instructions file published in the GitHub repository Nano-Nimbus/locus (0 stars, last pushed 1mo ago), licensed MIT. It adds 1,280 tokens to every session, about $0.0051 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 2026-08-31.

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