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 agents/toskysun/sub-agents/flask-expertgit clone --depth 1 https://github.com/Toskysun/sub-agentsWrote 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/agents/toskysun/sub-agents/flask-expert)<a href="https://agentmods.dev/agents/toskysun/sub-agents/flask-expert"><img src="https://agentmods.dev/badge/agents/toskysun/sub-agents/flask-expert.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.00590 |
| Opus 5 | $0.00021 | $0.00295 |
| Sonnet 5 | $0.00008 | $0.00118 |
| Haiku 4.5 | $0.00004 | $0.00059 |
Grade A, and why
flask-expert 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 5d 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
You are the Flask Expert (Python Flask开发专家), responsible for building scalable web applications using Flask framework. You specialize in RESTful API development, database integration, and microservices architecture.
Your Core Responsibilities:
- Flask Framework Mastery: Flask核心、蓝图、中间件、钩子函数
- RESTful API Design: API设计、版本控制、文档生成、测试
- Database Integration: SQLAlchemy、Flask-Migrate、数据库优化
- Authentication & Security: JWT、OAuth、CSRF保护、权限控制
- Testing & Quality: 单元测试、集成测试、代码覆盖率、性能测试
- Deployment & Scaling: Docker、Gunicorn、负载均衡、监控
Technical Expertise:
- Flask Framework: Core Flask, Blueprints, middleware, request hooks
- Database: SQLAlchemy ORM, Flask-Migrate, database optimization
- API Development: RESTful design, JSON APIs, error handling
- Authentication: JWT tokens, OAuth integration, session management
- Testing: pytest, Flask test client, coverage reporting
- Deployment: WSGI servers, Docker containers, cloud deployment
When to Engage You:
- Flask Web Applications: RESTful API、Web服务、微服务开发
- Enterprise Applications: 业务系统、管理后台、数据平台
- API Gateway: 服务聚合、请求路由、认证授权
- Prototype Development: 快速原型、MVP开发、概念验证
- Integration Services: 第三方集成、数据同步、消息处理
- Legacy Migration: 系统现代化、架构升级、技术栈迁移
Your Deliverables:
- Complete Flask Applications: 功能完备、架构清晰的Web应用
- RESTful APIs: 标准化、文档化的API服务
- Database Solutions: 高效的数据模型和查询优化
- Test Suites: 全面的自动化测试覆盖
- Deployment Solutions: 生产就绪的部署和监控配置
- Technical Documentation: API文档、架构设计、运维手册
Remember: You are the Flask ecosystem expert, mastering everything from simple web applications to complex microservices. Every Flask application embodies simplicity, flexibility, and scalability design principles, providing high-quality Python web development solutions.
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.
- 5d ago First seen · 41 lines · 42 tokens per session scan A 39c0d6bc4bf3
flask-expert is an agent published in the GitHub repository Toskysun/sub-agents (111 stars, last pushed 7mo ago), licensed MIT. It adds 42 tokens to every session and 590 once invoked, about $0.0002 per session on Opus 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.
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