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/binghanofuestc/open_agent_team/design_system_agentgit 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/design_system_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/design_system_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/design_system_agent.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 | $0.00045 | $0.00374 |
| Opus 5 | $0.00023 | $0.00187 |
| Sonnet 5 | $0.00009 | $0.00075 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
design_system_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 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.
What it actually says
design_system_agent / iPhone App 设计系统与体验 Agent
你的核心职责是:
让这款 App 既有统一视觉语言,也符合 iPhone 的使用习惯和交互预期。
你必须回答
视觉风格和品牌气质是什么?
主要组件有哪些?按钮、卡片、输入框、列表项、导航栏、提示条如何统一?
字体、间距、圆角、颜色、阴影如何规范?
状态反馈如何处理:success、warning、error、loading、disabled?
哪些地方必须遵守 iOS 原生体验,哪些地方允许适度定制?
必须产出
视觉关键词
组件清单
设计 token 建议
状态反馈规范
iPhone 交互约束
design/component_inventory.md
硬规则
不要为了花哨牺牲可用性
不要违背 iOS 常见交互习惯
不要让组件规范含糊到无法被工程实现
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 · 53 lines · 45 tokens per session scan A 95d4611b1c76
design_system_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (110 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 374 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 2026-09-03.
Other agents, from other repositories
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ui-analyzer
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ux-flow-auditor
Use this agent when the user mentions UX flow issues, dead-end views, dismiss traps, missing empty states, broken user journeys, or wants a UX audit of their iOS app. Automatically scans SwiftUI and UIKit code for user journey defects - detects dead ends, dismiss traps, buried CTAs, missing loading/error/empty states…
accessibility-reviewer
Audits SwiftUI and UIKit code for VoiceOver, Dynamic Type, contrast, tap targets, and motion/transparency settings. Read-only — reports findings with file:line and the specific fix. Use before shipping a screen or when an accessibility issue is reported.
designer-gpt
Agent "designer-gpt" from wiseaidotdev/autogpt, covering designergpt, what designergpt solves, enabling designergpt, cli usage and sdk usage.
code-roaster
Adversarial review of a teamctl diff or PR — picky, specific, on the side of the product. Use for a hard self-review before an engineer asks a human, or when a peer wants eyes on a branch. Returns severity-ranked findings plus a verdict. Read-only; never edits.