agentmods.dev

EffectPatterns GEMINI.md

A setup guide for using Google Gemini, an AI model service, with the Effect Patterns project. It explains supported models, API-key setup, shared project rules, and command-line examples.

In plain words
What is it for?
Use it to configure Gemini, add Effect Patterns rules to Gemini's context, process pattern data, and run AI-assisted TypeScript fixes.
Why use it?
It gives a coding agent the project context and commands needed to use Gemini features without working out the integration from scratch.

Instructions file for Gemini CLI

795 2mo ago A scan 1,010 tokens original MIT
View the source file PaulJPhilp/EffectPatterns
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/pauljphilp/effectpatterns/gemini-md
Clone the repo
git clone --depth 1 https://github.com/PaulJPhilp/EffectPatterns

Made for: Gemini CLI.

Per session 1,010 This file is loaded in full into every session.
When invoked 1,010 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 $0.01010 $0.01010
Opus 5 $0.00505 $0.00505
Sonnet 5 $0.00202 $0.00202
Haiku 4.5 $0.00101 $0.00101

Measured 2d ago against content hash 90e39a3c5426, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

EffectPatterns 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 · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini Integration

This document provides information about Google Gemini integration with the Effect Patterns project.

For Effect Patterns rules (shared source for all AI tools), see docs/Effect-Patterns-Rules.md. You can reference that file for Gemini's context instead of or in addition to injecting rules into this file.

AI Model Support

The Effect Patterns project supports Google Gemini for various AI-powered features, pattern analysis, and automated fixes.

Quick Start

  1. Configure API Key

    GOOGLE_API_KEY=your_gemini_api_key_here

  2. Inject Rules into GEMINI.md (optional)

    Rules are maintained in docs/Effect-Patterns-Rules.md. You can reference that file for context, or inject into this file:

    # Add Effect patterns to this file for Gemini's context
./ep-admin config install add --tool gemini

  3. Use with CLI Commands

    # Ingest raw patterns
./ep-admin data ingest process

# Run AI-powered autofix for TypeScript errors
./ep-admin dev autofix prepublish --ai-call --provider google

Supported Models

  • Gemini 2.5 Flash (Recommended) - State-of-the-art for large-scale processing and agentic tasks.
  • Gemini 2.0 Flash - High-speed, low-latency model for most tasks.
  • Gemini Pro - Higher quality for complex architectural analysis.
  • Gemini 1.5 Flash - Legacy support for stable workflows.

Features

1. Pattern Generation & Analysis

Create and analyze Effect-TS patterns using Gemini's reasoning capabilities.

# Generate documentation from published patterns
./ep-admin publish generate

# Search for patterns
./ep-admin pattern search "Error management"

2. AI-Powered Autofix

Automatically fix TypeScript errors in patterns before publishing using Gemini 2.5 Flash.

# Call Gemini to generate fixes for prepublish errors
./ep-admin dev autofix prepublish --ai-call --provider google --model gemini-2.5-flash

Read the full file on GitHub · 125 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 · 125 lines · 1,010 tokens per session scan A 90e39a3c5426

Subscribe to this mod's changes

EffectPatterns GEMINI.md is an instructions file published in the GitHub repository PaulJPhilp/EffectPatterns (795 stars, last pushed 2mo ago), licensed MIT. It adds 1,010 tokens to every session, about $0.0051 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.

Backend and APIsData and AIMemory and contextdesign-patternseffecteffect-tsfunctional-programmingknowledge-basepatterns
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