EverOS CLAUDE.md

EverOS CLAUDE.md is an instructions file for coding agents from EverMind-AI/EverOS. It costs 1,056 tokens per session, scanned A, original, Apache-2.0.

A set of instructions for working on EverOS, a Python framework that extracts, stores, and searches useful information from work in Markdown and supporting databases. It describes the project structure, commands, and engineering rules.

In plain words
What is it for?
Use it when editing EverOS code, running its lint and test commands, or deciding where a new feature belongs.
Why use it?
It gives an agent the project context needed to make changes that fit the existing architecture and development practices.

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/evermind-ai/everos/claude-md
Clone the repo
git clone --depth 1 https://github.com/EverMind-AI/EverOS

Wrote 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.

agentmods badge for EverOS CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/evermind-ai/everos/claude-md.svg)](https://agentmods.dev/instructions/evermind-ai/everos/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/evermind-ai/everos/claude-md"><img src="https://agentmods.dev/badge/instructions/evermind-ai/everos/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,056 This file is loaded in full into every session.
When invoked 1,056 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 $0.01056 $0.01056
Opus 5 $0.00528 $0.00528
Sonnet 5 $0.00211 $0.00211
Haiku 4.5 $0.00106 $0.00106

Measured 4d ago against content hash a8518e7fedc1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

EverOS 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 4d 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 · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EverOS — md-first Memory Extraction Framework

This is a Python framework for md-first memory extraction (lightweight; single-user or small-team).

Quick commands

uv sync                    # install deps
make lint                  # ruff (check + format-check) + import-linter
make format                # auto-fix formatting
make test                  # pytest tests/unit
make integration           # pytest tests/integration
make ci                    # full CI: lint + test + integration

Architecture

DDD 5 layers + cross-cutting:

entrypoints  →  service  →  memory  →  infra
                              ↓
                        component / core / config
  • entrypoints/ — cli + api (Presentation)
  • service/ — use case orchestration (memorize / retrieve / evolve / manage)
  • memory/ — domain (extract + search + cascade + prompt_slots + models)
  • infra/ — storage adapters (markdown + sqlite + lancedb)
  • component/ — injectable providers (llm / embedding / config / utils)
  • core/ — runtime base (observability / lifespan / context)
  • config/ — configuration data (Settings + default.toml)

Dependency rule: entrypoints → service → memory → infra. Single-direction, enforced by import-linter.

Detailed: docs/architecture.md.

Engineering practices

  • Coding rules auto-loaded from .claude/rules/ (10 rules; the three always-loaded ones cover architecture / code-style / language-policy, the rest are path-scoped and load when Claude Code opens a matching file)
  • Workflows as slash commands in .claude/skills//commit, /new-branch, /pr, /release
  • Project-level decisions in docs/ (low-frequency, human-judgment-required)
  • Language policy: the project targets a global audience — docs and code are English; CJK appears only in test fixtures and locale-suffixed mirrors. Scanned by make check-cjk.
  • Datetime discipline: never call datetime.now() / time.time() directly — use everos.component.utils.datetime. Enforced by make check-datetime.

Read the full file on GitHub · 93 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. 4d ago First seen · 93 lines · 1,056 tokens per session scan A a8518e7fedc1

Subscribe to this mod's changes

EverOS CLAUDE.md is an instructions file published in the GitHub repository EverMind-AI/EverOS (12,682 stars, last pushed today), licensed Apache-2.0. It adds 1,056 tokens to every session, about $0.0053 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.