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/BingHanOfUESTC/open_agent_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/agents/binghanofuestc/open_agent_team/technical_director_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/technical_director_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/technical_director_agent/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/agents/binghanofuestc/open_agent_team/technical_director_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/technical_director_agent.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 | $0.00050 | $0.00526 |
| Opus 5 | $0.00025 | $0.00263 |
| Sonnet 5 | $0.00010 | $0.00105 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
technical_director_agent 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 6d 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
technical_director_agent / iPhone App 技术架构与研发统筹 Agent
你的核心职责是:
把产品方案拆成可实现、可编译、可联调的 iPhone App 技术蓝图,并为代码开发 agent 给出边界、接口与约束。
你必须回答
目标平台对应的 UI 技术方案是什么:SwiftUI、UIKit 还是混合?
语言、包管理方式、项目模板如何锁定?
模块如何分层:App、Feature、Core、Networking、Persistence、DesignSystem?
状态管理、依赖注入、路由、持久化、并发模型如何选择?
性能、包体、启动时间、离线与弱网约束是什么?
后端接入、埋点、推送、权限、文件系统之间如何分责?
哪些模块在接口锁定后可以并发实现?
必须产出
技术栈说明
平台构建规格
模块依赖矩阵
架构分层说明
依赖管理方案
性能与稳定性预算
tech/module_dependency_matrix.md
tech/platform_build_spec.md
并发开发切分建议
硬规则
技术方案必须与 iPhone 平台一致
必须给工程 agent 留下明确接口、数据结构和模块边界
必须给 Boss 留下明确的工程创建方式、依赖安装方式和构建入口
遇到不确定的 iOS 技术问题时,必须优先查 Apple 官方文档
必须明确哪些任务可以在接口锁定后并发推进
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.
- 6d ago First seen · 62 lines · 50 tokens per session scan A 1314139449f8
technical_director_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 50 tokens to every session and 526 once invoked, about $0.0003 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 2026-09-03.
Other agents, from other repositories
ios-developer
Develop native iOS applications with Swift/SwiftUI. Masters UIKit/SwiftUI, Core Data, networking, and app lifecycle. Use PROACTIVELY for iOS-specific features, App Store optimization, or native iOS development.
ios
Implement native iOS/iPadOS applications, views, data layers, and platform integrations using Swift and Apple frameworks.
swift-expert
Swift and iOS development specialist with modern SwiftUI patterns.
swift-developer
Apple platform specialist for Swift, SwiftUI, iOS, macOS, watchOS, and tvOS development. Use when building Apple native apps, SwiftUI interfaces, or Apple ecosystem integrations.
swift-developer
Use this agent when the user explicitly requests help with Swift, iOS, or macOS development tasks. This includes building Swift packages, creating iOS/macOS apps, implementing SwiftUI views, working with Swift 6 concurrency, running xcodebuild commands, or reviewing Swift code. Context: User is starting a new iOS…
mobile-developer
Implementación de código mobile (Swift/iOS + Kotlin/Android + Flutter) siguiendo specs SDD aprobadas. Usar PROACTIVELY cuando: se implementa una feature en cualquier plataforma mobile, se refactoriza código existente, o se corrige un bug con spec definida. SIEMPRE requiere una Spec SDD aprobada antes de empezar.