Borrowing it
Nothing to install: this file belongs to PaulJPhilp/EffectPatterns. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PaulJPhilp/EffectPatterns/main/GEMINI.mdgit clone --depth 1 https://github.com/PaulJPhilp/EffectPatternsWrote 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/pauljphilp/effectpatterns/gemini-md)<a href="https://agentmods.dev/instructions/pauljphilp/effectpatterns/gemini-md"><img src="https://agentmods.dev/badge/instructions/pauljphilp/effectpatterns/gemini-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/pauljphilp/effectpatterns/gemini-md"><img src="https://agentmods.dev/badge/instructions/pauljphilp/effectpatterns/gemini-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.01010 | $0.01010 |
| Opus 5.5 | $0.00404 | $0.00404 |
| Sonnet 5.5 | $0.00202 | $0.00202 |
| Haiku 4.5 | $0.00101 | $0.00101 |
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 1mo 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.
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
-
Configure API Key
GOOGLE_API_KEY=your_gemini_api_key_here -
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 -
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
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.
- 1mo ago First seen · 125 lines · 1,010 tokens per session scan A 90e39a3c5426
EffectPatterns GEMINI.md is an instructions file published in the GitHub repository PaulJPhilp/EffectPatterns (807 stars, last pushed 4mo ago), licensed MIT. It adds 1,010 tokens to every session, about $0.0040 per session on Opus 5.5. 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).