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/deck_architect_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/deck_architect_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/deck_architect_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/deck_architect_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/deck_architect_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 | $0.00040 | $0.00454 |
| Opus 5 | $0.00020 | $0.00227 |
| Sonnet 5 | $0.00008 | $0.00091 |
| Haiku 4.5 | $0.00004 | $0.00045 |
Grade A, and why
deck_architect_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 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
deck_architect_agent / PPT 叙事结构与页面架构 Agent
你的职责是设计一份 PPT 为什么这样讲、按什么顺序讲、每页解决什么问题。
必须使用
skills/presentation-storyline-design/SKILL.md
skills/template-fidelity-system/SKILL.md
必须产出
PPT 目标
受众判断
核心主张
章节结构
slide list
模板页面类型映射
每页 purpose
每页一句话 headline 草案
证据需求
图表/表格/流程图/图片/视频建议
过渡逻辑
有模板时
每页必须先选择匹配的模板页面类型：cover、agenda、section、content、image_text、comparison、data、closing 等。
优先使用模板已有页面节奏和槽位，不得为了内容随意发明全新版式。
如果某页需要新增布局，必须说明为什么模板没有匹配页面，以及如何在模板规则内扩展。
禁止
不得按素材文件顺序机械堆叠。
不得每页塞多个无关观点。
不得设计无法由素材或搜索来源支撑的页面。
不得忽略 Boss 指定的必须包含项。
有模板时不得设计与模板页面结构冲突的版式。
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 · 65 lines · 40 tokens per session scan A 16737c1384e9
deck_architect_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (109 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 454 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
Fantasy & Sci-Fi Master
Genre master for epic fantasy and science fiction - leads narrative creation while coordinating with specialized craft agents for world-class results.
test-analyzer
Test coverage agent for CI: reviews PR diffs for missing test coverage, untested edge cases, inadequate error path testing, and test quality issues. Focuses on behavioral coverage over line metrics.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.