compound-engineering-plugin GEMINI.md

Instructions for using the Compound Engineering skill set in Gemini CLI, a command-line coding assistant. The skills cover planning, review, implementation, debugging, and release work.

In plain words
What is it for?
Use it when running Compound Engineering workflows through Gemini CLI for planning, coding, debugging, reviewing, or releasing software.
Why use it?
It tells Gemini CLI how to apply the available workflows in a user's project without treating the plugin's own contributor rules as project instructions.

Instructions file for Gemini CLI

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/everyinc/compound-engineering-plugin/gemini-md
Clone the repo
git clone --depth 1 https://github.com/EveryInc/compound-engineering-plugin

Made for: Gemini CLI.

Per session 77 This file is loaded in full into every session.
When invoked 77 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 $0.00077 $0.00077
Opus 5 $0.00039 $0.00039
Sonnet 5 $0.00015 $0.00015
Haiku 4.5 $0.00008 $0.00008

Measured 2d ago against content hash 87d08ba34697, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

compound-engineering-plugin 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 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.

GEMINI.md · 10 lines

What it actually says

Compound Engineering

This Gemini extension provides the Compound Engineering skill set for planning, review, implementation, debugging, and release workflows.

Use the installed skills when they match the user's request. Treat this file as runtime context for extension users, not contributor guidance for this source repository. Do not apply this repository's AGENTS.md maintainer workflow to the user's project.

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 · 10 lines · 77 tokens per session scan A 87d08ba34697

Subscribe to this mod's changes

compound-engineering-plugin GEMINI.md is an instructions file published in the GitHub repository EveryInc/compound-engineering-plugin (24,760 stars, last pushed today), licensed MIT. It adds 77 tokens to every session, about $0.0004 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.

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