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/MigoXLab/dingoWrote 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/migoxlab/dingo/project-architecture)<a href="https://agentmods.dev/rules/migoxlab/dingo/project-architecture"><img src="https://agentmods.dev/badge/rules/migoxlab/dingo/project-architecture/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/migoxlab/dingo/project-architecture"><img src="https://agentmods.dev/badge/rules/migoxlab/dingo/project-architecture.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 | $0.00367 | $0.00367 |
| Opus 5.5 | $0.00147 | $0.00147 |
| Sonnet 5.5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
project-architecture 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
Dingo — Quick Reference
Full agent instructions: see AGENTS.md at project root (tech stack, directory structure, core concepts, development conventions, config maintenance rules).
Key Rules (always apply)
- Plugin architecture: All evaluators use
@Model.rule_register()or@Model.llm_register()decorators. Never modify the registration system. - Data model:
Datausesextra = "allow"— do not add fixed fields unless absolutely necessary. Access optional fields withgetattr(data, 'field', default). - Lazy imports: Optional heavy dependencies (
pyarrow,transformers,sqlalchemy,boto3, etc.) must use lazy imports inside methods, not top-level imports. - Evaluator contract: Every evaluator
eval()method must returnEvalDetailwithmetric,status(bool),label(list), andreason(list). - Dependencies: Core deps in
requirements/runtime.txt, optional inrequirements/datasource.txt. New optional deps → add tosetup.pyextras_require. - MCP Server: Entry point is
mcp_server.py, uses FastMCP + SSE. Environment variables for LLM config (OPENAI_API_KEY, etc.). - Three interfaces: SDK (Python API), CLI (
dingo eval), MCP Server. All share the sameInputArgs→Executorpipeline. - Testing:
pytest test/scripts --ignore=test/scripts/data. Integration tests via CLI with configs in.github/env/.
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 · 21 lines · 367 tokens per session scan A 7741506c699d
project-architecture is a cursor rule published in the GitHub repository MigoXLab/dingo (759 stars, last pushed yesterday), licensed Apache-2.0. It adds 367 tokens to every session, about $0.0015 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 cursor rules, from other repositories
cursorrules
Native SQL extensions for GoldenMatch (D:\showcase\goldenmatch).
windsurfrules
Native SQL extensions for GoldenMatch (D:\showcase\goldenmatch).
shadcn-tailwind-guide
A guide to building new components with shadcn/ui and Tailwind CSS, a utility-based system for styling interfaces.
dreamd-recall
Recall lessons, decisions, and prior context from the .agent/ memory daemon. Use when starting work in a project that has a .agent/ folder, when the user references a past decision, or when you are about to make a choice that has a documented prior.
testing
Guide for writing pytest unit and integration tests.
development-phase
A development rule that favors clear, well-structured new code and considers compatibility only when it costs nothing.