EGC CLAUDE.md

EGC CLAUDE.md is an instructions file for Claude Code from Fmarzochi/EGC. It costs 1,164 tokens per session, scanned A, original, Apache-2.0.

A set of instructions for keeping project notes between coding sessions, including decisions, failed approaches, and next steps.

In plain words
What is it for?
Saving and restoring project memory, coordinating parallel sessions, and recording what should happen next.
Why use it?
It prevents the assistant from losing important context when work continues in a later session.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md.

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/fmarzochi/egc/claude-md
Clone the repo
git clone --depth 1 https://github.com/Fmarzochi/EGC

Made for: Claude Code.

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 EGC CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/fmarzochi/egc/claude-md.svg)](https://agentmods.dev/instructions/fmarzochi/egc/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/fmarzochi/egc/claude-md"><img src="https://agentmods.dev/badge/instructions/fmarzochi/egc/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,164 This file is loaded in full into every session.
When invoked 1,164 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 5.1 $0.01164 $0.01164
Opus 5 $0.00582 $0.00582
Sonnet 5 $0.00233 $0.00233
Haiku 4.5 $0.00116 $0.00116

Measured 2d ago against content hash a3bc736a6703, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

EGC 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 2d 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 · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EGC: Session Memory Protocol

This project has persistent cross-session memory via the egc-memory MCP server.

At the start of every session

Call get_state with no arguments: it uses the current working directory automatically:

get_state({})

If the AI is running from outside the project directory, pass the path explicitly:

get_state({ project_path: "/absolute/path/to/this/project" })

Read the returned Markdown. It contains the decisions already made, what failed, coding preferences, and what to pick up next. Do not ask the user to re-explain any of that.

At the end of every session

COMPACTION RULE: On /compact, call update_state to persist session state. Do not create compaction-summary files anywhere — not in the project, not in any external vault or notebook. update_state updates the existing project state file and may initialize it if it does not yet exist.


Call update_state with a summary of this session:

update_state({
  project_path: "/absolute/path/to/project",
  context: "One sentence: what this project is and its current phase.",
  decisions: [
    { what: "What was decided", why: "Why" }
  ],
  avoid: [
    { what: "What failed or was rejected", why: "Why to skip it next time" }
  ],
  preferences: [
    "Coding style or workflow preference discovered this session"
  ],
  next: [
    "First thing to pick up in the next session"
  ]
})

update_state merges with existing state: it does not erase previous memory. Only include fields that changed this session. Leave out fields with nothing new.

Pass scope: "global" to write to the user-wide memory shared across all projects; use it only for transversal preferences and lessons, never for project-specific state. get_state appends that global memory automatically, with project and branch entries taking precedence.

Parallel sessions

When more than one session works on this project at the same time, coordinate through the session bus: call session_announce at start (registers presence and territory, doubles as heartbeat), check session_peers before picking work, and claim_path before editing shared files. A refused claim means another live session holds that path: coordinate or work elsewhere, never retry in a loop.

Read the full file on GitHub · 115 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. 2d ago First seen · 115 lines · 1,164 tokens per session scan A a3bc736a6703

Subscribe to this mod's changes

EGC CLAUDE.md is an instructions file published in the GitHub repository Fmarzochi/EGC (48 stars, last pushed today), licensed Apache-2.0. It adds 1,164 tokens to every session, about $0.0058 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 2026-09-03.