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.
npx agentmods add instructions/fmarzochi/egc/gemini-mdgit clone --depth 1 https://github.com/Fmarzochi/EGCWrote 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/fmarzochi/egc/gemini-md)<a href="https://agentmods.dev/instructions/fmarzochi/egc/gemini-md"><img src="https://agentmods.dev/badge/instructions/fmarzochi/egc/gemini-md.svg" alt="Measured on agentmods" 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 | $0.00782 | $0.00782 |
| Opus 5 | $0.00391 | $0.00391 |
| Sonnet 5 | $0.00156 | $0.00156 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
EGC GEMINI.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 yesterday.
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 — 97 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
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.
Where state is stored
~/.egc/state/<project-slug>/<branch>.md: one file per project branch (flat <project-slug>.md files from older versions are still read). Files are encrypted at rest with AES-256-GCM (key at ~/.egc/encryption.key); the memory server and session hooks decrypt them transparently.
MCP servers required
Both servers must be registered in your MCP config (.mcp.json):
egc-guardian:validate_command,validate_write,reduce_context,orchestrate_taskegc-memory:get_state,update_state,store_decision,query_history,search_history
Run sh install.sh to build the servers. Run egc doctor to verify they are registered and running.
EGC Guardian Protocol — MANDATORY
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.
- yesterday First seen · 97 lines · 782 tokens per session scan A 7fccf57de501
EGC GEMINI.md is an instructions file published in the GitHub repository Fmarzochi/EGC (48 stars, last pushed today), licensed Apache-2.0. It adds 782 tokens to every session, about $0.0039 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.
Other instructions, from other repositories
brain-os AGENTS.md
Instructions for brainOS-HQ/brain-os, covering agents.md, context, the hard rule, tool routing (in order) and mutation safety.
memorix CLAUDE.md
Claude Code instructions for Tibu142/memorix, covering memorix — agent instructions for claude code, when to search memory (memorixsearch), when to store memory (memorixstore), when to check retention (memorixretention) and best practices.
kleosrules AGENTS.md
Instructions for kleosr/kleosrules, a project described as: Cursor harness pack: user rules, skills, Bash hooks, local HANDOFF memory. macOS, Linux, Windows (WSL).
knowit AGENTS.md
Instructions for ismaelkedir/knowit: This project uses Knowit as the default persistent knowledge base for AI coding agents.
Norn CLAUDE.md
Instructions for samad001z/Norn, covering norn — project context, what this is, stack (v1), v1 scope — build only this and not in v1 (resist).
memex CLAUDE.md
Instructions for iamtouchskyer/memex, covering memex — agent working instructions, what is this, before you touch anything, how the code is layered and files you'll actually need.