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/WangTingYeYe/llm-agent-studyWrote 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/wangtingyeye/llm-agent-study/flask)<a href="https://agentmods.dev/rules/wangtingyeye/llm-agent-study/flask"><img src="https://agentmods.dev/badge/rules/wangtingyeye/llm-agent-study/flask/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/wangtingyeye/llm-agent-study/flask"><img src="https://agentmods.dev/badge/rules/wangtingyeye/llm-agent-study/flask.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 | $0.00000 | $0.00166 |
| Opus 5.5 | $0.00000 | $0.00066 |
| Sonnet 5.5 | $0.00000 | $0.00033 |
| Haiku 4.5 | $0.00000 | $0.00017 |
Grade A, and why
flask 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
description: 该规则解释了 Flask 轻量级 Python Web 应用程序的约定和最佳实践。 globs: **/*.py alwaysApply: false
Flask 规则
- 使用 Blueprints 按功能或资源组织路由
- 使用 Flask-SQLAlchemy 处理数据库模型和 ORM
- 使用应用工厂（application factories）实现灵活的应用初始化
- 使用 Flask 扩展实现常见功能（Flask-Login、Flask-WTF 等）
- 在环境变量中存储配置
- 使用 Flask-Migrate 进行数据库迁移
- 使用错误处理器实现适当的错误处理
- 使用 Flask-RESTful 或类似工具构建 API
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 · 0 tokens per session scan A 870b3aa52a1e
flask is a cursor rule published in the GitHub repository WangTingYeYe/llm-agent-study (4 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 166 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.
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