Borrowing it
Nothing to install: this file belongs to caipe-io/ai-platform-engineering. 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/caipe-io/ai-platform-engineering/main/.cursorrulesgit clone --depth 1 https://github.com/caipe-io/ai-platform-engineeringWrote 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/caipe-io/ai-platform-engineering/cursorrules)<a href="https://agentmods.dev/rules/caipe-io/ai-platform-engineering/cursorrules"><img src="https://agentmods.dev/badge/rules/caipe-io/ai-platform-engineering/cursorrules/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/caipe-io/ai-platform-engineering/cursorrules"><img src="https://agentmods.dev/badge/rules/caipe-io/ai-platform-engineering/cursorrules.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 | $0.03624 | $0.03624 |
| Opus 5.5 | $0.01450 | $0.01450 |
| Sonnet 5.5 | $0.00725 | $0.00725 |
| Haiku 4.5 | $0.00362 | $0.00362 |
Grade A, and why
cursorrules 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 — 588 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Platform Engineering Development Rules
Repository Information
Project: AI Platform Engineering Type: Python Backend for AI Agents & Multi-Agent System Language: Python 3.14 Framework: LangGraph, LangChain, A2A Protocol Package Manager: uv Testing: pytest
Docker Compose First Install
When changing docker-compose.yaml, docker-compose.dev.yaml, .env.example,
release image tags, Compose profiles, Keycloak/OpenFGA/RAG defaults, or
first-launch UX, follow .claude/skills/docker-compose-first-install/SKILL.md.
The plain OSS path must work from .env.example with:
mcp-servers,caipe-ui-prod,rbac,caipe-supervisor,dynamic-agents,rag,caipe-mongodb,web_ingestor
Do not add Slack/Webex bots to that default all-in-one path.
Git Commit Standards
Conventional Commits (REQUIRED)
All commits MUST follow the Conventional Commits specification:
<type>[optional scope]: <description>
[optional body]
[optional footer(s)]
Commit Types
-
feat: A new feature
feat: add ArgoCD MCP pagination support feat(supervisor): implement TODO-based execution plan feat(agent): add OOM protection for large queries -
fix: A bug fix
fix: resolve A2A artifact streaming race condition fix(argocd): handle 819 applications without OOM fix(streaming): prevent duplicate artifact warnings -
docs: Documentation only changes
docs: add ADR for OOM protection strategy docs(adr): document MCP pagination implementation -
perf: Performance improvements
perf(argocd): optimize pagination for large datasets perf(mcp): reduce memory usage in list operations -
refactor: Code change that neither fixes a bug nor adds a feature
refactor(agent): simplify context window management -
test: Adding missing tests or correcting existing tests
test: add integration tests for pagination -
build: Changes to build system or dependencies
build: update langchain to v0.2.0 build(docker): optimize multi-agent containers
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 Changed 2e618877f8e6
- 1mo ago First seen · 588 lines · 3,624 tokens per session scan A 7ef9be122c25
cursorrules is a cursor rule published in the GitHub repository caipe-io/ai-platform-engineering (429 stars, last pushed today), licensed Apache-2.0. It adds 3,624 tokens to every session, about $0.0145 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
heartbeat-execution-boundaries
Keep heartbeat a clear lifecycle coordinator with cohesive modules, explicit execution authority, and safe resource ownership.
kandev-pr-fixup
Kandev PR fixup workflow prompt for Cursor agents.
conventional-commits
Always use Conventional Commits for git commit messages.
ponytail
Ponytail, lazy senior dev mode. Always pick the simplest solution that works.
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.