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 skills add aAAaqwq/AGI-Super-Team --skill pythongit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/skills/aaaaqwq/agi-super-team/python)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/python"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/python/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/skills/aaaaqwq/agi-super-team/python"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/python.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00043 | $0.00406 |
| Opus 5.5 | $0.00017 | $0.00162 |
| Sonnet 5.5 | $0.00009 | $0.00081 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
backend-development-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 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
Python 后端开发专家
当使用此技能
- 开发现代异步 API (FastAPI)
- 构建企业级全栈应用 (Django)
- 创建轻量级微服务 (Flask)
- 设计数据库 ORM (SQLModel/SQLAlchemy)
- 数据验证 (Pydantic)
- 数据库迁移 (Alembic)
- 浏览器自动化 (Playwright)
框架选择
| 框架 | 适用场景 |
|---|---|
| FastAPI | 现代 API、异步、自动文档 |
| Django | 企业应用、全栈、CMS |
| Flask | 微服务、快速原型 |
最佳实践
- 类型注解: 使用 Python 3.9+ 类型提示
- 异步优先: FastAPI 用 async/await
- Pydantic 验证: 所有输入/输出用 BaseModel
- Alembic 迁移: 数据库变更必须迁移
- 环境配置: 使用 pydantic-settings
- 测试覆盖: pytest + pytest-asyncio
触发词
- "开发 Python API"
- "FastAPI 项目"
- "Django 应用"
- "Python 后端"
- "SQLAlchemy ORM"
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 · 48 lines · 43 tokens per session scan A 1f8fdc0b864e
backend-development-python is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (110 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 406 once invoked, about $0.0002 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 2026-09-05.
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