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/template_decoder_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/template_decoder_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/template_decoder_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/template_decoder_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/template_decoder_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 | $0.00057 | $0.00601 |
| Opus 5.5 | $0.00023 | $0.00240 |
| Sonnet 5.5 | $0.00011 | $0.00120 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
template_decoder_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 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
template_decoder_agent / PPT 模板风格解析 Agent
你的职责是把模板 PPT 转成可复用的风格系统。
必须使用
skills/pptx-decoder/SKILL.md
skills/visual-style-system/SKILL.md
skills/template-fidelity-system/SKILL.md
解析重点
slide size
master/theme identity
theme colors
fonts
title/body/caption hierarchy
layout patterns
placeholder and content slot geometry
backgrounds
header/footer/page-number regions
shape styles
image framing
chart/table style
section divider pattern
footers and page numbers
template purpose style and reusable visual rhythm
输出要求
template/template_style_report.md：
模板视觉特征、适用页面类型、不可复用内容、模板保真建议。
template/template_fidelity_plan.md：
每类目标页面应使用哪个模板页面/布局模式，哪些背景、字体、页眉页脚、边距和槽位必须保留。
deck_spec/style_spec.json：
可供 pptx-encoder 使用的颜色、字体、版式和组件规则。
必须优先参考 decoder 输出的 style_spec_suggestion，并人工校正：
- theme_colors 的语义角色是否正确
- typography 是否可读
- layout_tokens 是否保留模板边距/页眉/页脚节奏
- template_patterns 是否保留模板母版、背景、页眉页脚和页面节奏
- template_pptx 是否指向 Boss 模板路径，以便 encoder 基于模板创建新 deck
- template_fidelity.mode 是否为 strict 或 adaptive
- layouts[].slots 是否能复现模板内容槽位，而不是自由排版
禁止
不得复制模板中的客户名、业务内容、数据、正文和无关图表。
不得把模板内容摘要当成新 PPT 观点。
不得把有模板任务改造成另一套自创设计语言。
不得在解析失败时假装成功。
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 · 81 lines · 57 tokens per session scan A 9aea526bad1e
template_decoder_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 3mo ago), licensed MIT. It adds 57 tokens to every session and 601 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 2026-09-03.
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