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.
npx agentmods add rules/justinz12xd/hackaton-taws/backend-pythongit clone --depth 1 https://github.com/justinz12xd/HACKATON-TAWSWhat 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 | $0.00000 | $0.00114 |
| Opus 5 | $0.00000 | $0.00057 |
| Sonnet 5 | $0.00000 | $0.00023 |
| Haiku 4.5 | $0.00000 | $0.00011 |
Grade A, and why
backend-python 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- yesterday First seen · 18 lines · 0 tokens per session scan A ff0ddcec0c4e
backend-python is a cursor rule published in the GitHub repository justinz12xd/HACKATON-TAWS (2 stars, last pushed 1mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 114 tokens. 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 2026-08-31.
Other cursor rules, from other repositories
conversation-logs
仅当用户贴 32-hex / UUID / 排查包，或明说查产品 AI 失败 / 巡检时读。讨论产品或架构默认不打开。用 logs/dev.jsonl + DB，禁止在文件系统搜文件名。.
cursor-deploy
全端部署（后端+官网+手机+管理后台+桌面）——用户说「部署/上线/发版」时读；凭据存 deploy/.env.deploy.local 不入仓。.
cross-platform-frontend
前端跨端架构——产品页单树 + 壳自适应；能力黑名单减法；fold 只留桌面一套；必过 conformance.
logging
How（格式 / 禁止项 / logger API）以本文为准；接缝（traceid 落库、contextvars）→ 后端架构.md §六·日志。 分析工具与排查方法 → 对话日志分析指南。.
doc-governance
文档治理——docs/ 与 rules/ 定位、内容策略、同步规则、命名篇幅。写/改 docs/ 或 .cursor/rules/ 前阅读。.
frontend-preview
改桌面前端组件/样式/布局后想自检渲染效果、或想离线查看某个 AI 态（辩论/派单/升级/审批/计划复核/工具/引用…）时读——#/preview 离线回放 conformance 向量、帧滑块逐帧看流式中间态、pnpm dev:web 纯浏览器跑渲染层、pnpm shoot 无头截图自检、协作图两入口视口探针 shoot:graph-probe、CI 渲染冒烟门禁。别再靠跑真实 AI 看前端效果。.