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.
git 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/rules/igmarin/rails-ai-bridge/rails-engineering)<a href="https://agentmods.dev/rules/igmarin/rails-ai-bridge/rails-engineering"><img src="https://agentmods.dev/badge/rules/igmarin/rails-ai-bridge/rails-engineering/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/rules/igmarin/rails-ai-bridge/rails-engineering"><img src="https://agentmods.dev/badge/rules/igmarin/rails-ai-bridge/rails-engineering.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 | $0.00352 | $0.00352 |
| Opus 5.5 | $0.00141 | $0.00141 |
| Sonnet 5.5 | $0.00070 | $0.00070 |
| Haiku 4.5 | $0.00035 | $0.00035 |
Grade A, and why
rails-engineering 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.
What it actually says
Engineering essentials
Anti-hallucination rules
-
Verify before you write (column, association, route, helper, gem).
-
Mark assumptions with
[ASSUMPTION]. Silent guesses are forbidden. -
This app is not average Rails. Query conventions and gems before scaffolding.
-
Check the inheritance chain (filters, concerns, STI) before editing a controller or model.
-
Empty tool output is information, not permission to invent.
-
Re-query after writes. Stale tool output lies.
-
Strong params: permit explicitly; never mass-assign raw
params. -
Auth: protect mutations and sensitive reads; public route ≠ public data.
-
N+1:
includes/preload/eager_loadfor associations in views and serializers. -
Bounds: paginate HTTP lists;
find_each/in_batchesin jobs; noModel.allin requests. -
Large tables: narrow queries; check indexes before new filters/sorts; use
rails_get_schema. -
Security: no
constantize/send/evalon user input; no SQL string interpolation; allow-list redirects. -
Tests: request/system specs for HTTP; confirm runner with
rails_get_test_info.
Generated files are snapshots — prefer rails_* MCP tools for current structure.
Full engineering rules: .github/copilot-instructions.md or AGENTS.md.
MCP tool reference: rails-mcp-tools.mdc.
- Run
bundle exec rspecafter 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.
- 1mo ago First seen · 29 lines · 352 tokens per session scan A 8a51c2b76171
rails-engineering is a cursor rule published in the GitHub repository igmarin/rails-ai-bridge (16 stars, last pushed yesterday), licensed MIT. It adds 352 tokens to every session, about $0.0014 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 2026-09-15.
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