Borrowing it
Nothing to install: this file belongs to igmarin/rails-ai-bridge. 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/igmarin/rails-ai-bridge/main/GEMINI.mdgit clone --depth 1 https://github.com/igmarin/rails-ai-bridgeWrote 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/igmarin/rails-ai-bridge/gemini-md)<a href="https://agentmods.dev/instructions/igmarin/rails-ai-bridge/gemini-md"><img src="https://agentmods.dev/badge/instructions/igmarin/rails-ai-bridge/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/igmarin/rails-ai-bridge/gemini-md"><img src="https://agentmods.dev/badge/instructions/igmarin/rails-ai-bridge/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 | $0.00917 | $0.00917 |
| Opus 5 | $0.00458 | $0.00458 |
| Sonnet 5 | $0.00183 | $0.00183 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
rails-ai-bridge 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 9d 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.
This is a copy
84% identical to rails-ai-bridge AGENTS.md — 59 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEMINI.md — rails-ai-bridge development guide
Ruby gem that reads a Rails app and gives assistants that map over MCP and committed context files. It does not write to the host database.
Architecture
lib/rails_ai_bridge.rb— Main entry point, public API (Zeitwerk autoloaded)lib/rails_ai_bridge/configuration.rb— User-facing config with presets (:standard, :full)lib/rails_ai_bridge/introspector.rb— Orchestrates sub-introspectorslib/rails_ai_bridge/introspectors/— Built-in introspector classes;:standardpreset runs 9,:fullruns 26 (seeConfiguration::PRESETS). Registry:Introspector::BUILTIN_INTROSPECTORS(includes opt-in symbols such asdatabase_stats,non_ar_modelsnot listed in those presets).lib/rails_ai_bridge/tools/— 19 built-in MCP tools using the official mcp SDK (hosts can add more viaadditional_tools)lib/rails_ai_bridge/serializers/— Output formatters (claude, claude_rules, cursor_rules, windsurf, windsurf_rules, copilot, copilot_instructions, rules, markdown, JSON, gemini) runs 9,:fullruns 27 (seeConfiguration::PRESETS). Registry:lib/rails_ai_bridge/resources.rb— MCP resources (static data AI clients read directly)lib/rails_ai_bridge/server.rb— MCP server configuration (stdio + HTTP transports)lib/rails_ai_bridge/middleware.rb— Rack middleware for auto-mounting MCP HTTP endpointlib/rails_ai_bridge/fingerprinter.rb— SHA256 file fingerprinting for cache invalidationlib/rails_ai_bridge/doctor.rb— Diagnostic checks and AI readiness scoringlib/rails_ai_bridge/watcher.rb— File watcher for auto-regenerating context fileslib/rails_ai_bridge/engine.rb— Rails Engine for auto-integrationlib/generators/rails_ai_bridge/install/— Install generator (creates .mcp.json, initializer, context files)
Key Design Decisions
- Built on official mcp SDK — not a custom protocol implementation
- Zero-config — Railtie auto-registers at boot, introspects without setup
- Graceful degradation — works without DB by parsing schema.rb as text
- Read-only tools only — all MCP tools are annotated as non-destructive
- Dual output — static files (GEMINI.md) + live MCP server (stdio/HTTP)
- Diff-aware — context regeneration skips unchanged files
- Per-assistant serializers — each AI tool gets tailored output format
- Zeitwerk autoloading — files loaded on-demand, not all upfront
- Introspector presets —
:standard(9 core) default,:full(27 introspectors; optional extras such asdatabase_stats,non_ar_models) for power users - MCP auto-discovery —
.mcp.jsongenerated by install generator - Compact by default — context files ≤150 lines, MCP tools use
detailparameter (summary/standard/full) - Per-tool split rules —
.codex/,.cursor/rules/,.devin/rules/,.github/instructions/
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.
- 9d ago First seen · 58 lines · 917 tokens per session scan A 1be77533ae14
rails-ai-bridge GEMINI.md is an instructions file published in the GitHub repository igmarin/rails-ai-bridge (14 stars, last pushed 10d ago), licensed MIT. It adds 917 tokens to every session, about $0.0046 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to rails-ai-bridge AGENTS.md, differing in 59 lines, and is treated as a copy.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.