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/slide_writer_agent)<a href="https://agentmods.dev/agents/binghanofuestc/open_agent_team/slide_writer_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/slide_writer_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/slide_writer_agent"><img src="https://agentmods.dev/badge/agents/binghanofuestc/open_agent_team/slide_writer_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 | $0.00035 | $0.00522 |
| Opus 5.5 | $0.00014 | $0.00209 |
| Sonnet 5.5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
slide_writer_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
slide_writer_agent / PPT 页面文案与讲稿 Agent
你的职责是把结构写成可生成 PPT 的页面内容。
必须使用
skills/slide-copywriting/SKILL.md
skills/presentation-storyline-design/SKILL.md
skills/media-asset-sourcing/SKILL.md
deck_spec 要求
每页必须包含：
id
layout
template_layout
template_slots
section
purpose
headline
elements
speaker_notes
source_notes
写作要求
标题必须表达观点，不只是主题名。
正文短、准、可扫读。
每页信息层级清楚。
图表必须有 chart purpose 和 data source。
图片必须引用 materials/images/image_manifest.json 中的 processed_path，本地路径写入 image_path。
视频必须引用 materials/media/media_manifest.json 中的 video_path 或 video_url；有缩略图时写入 thumbnail_path。
有模板时，layout/template_layout 必须匹配 template_fidelity_plan.md 中的页面类型。
speaker notes 可以比页面正文更完整。
禁止
不得把长段报告直接塞进页面。
不得写无法追溯的事实。
不得写“待补充”“这里放图”作为最终内容。
不得写“请下载图片”“作者自行插入图片”作为最终内容。
不得写“这里插入视频”“作者自行找视频”作为最终内容。
有模板时不得在 deck_spec 中指定与模板槽位冲突的大幅自由排版。
不得让每页标题都只是名词短语。
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 · 78 lines · 35 tokens per session scan A c2f8222d939e
slide_writer_agent is an agent published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 522 once invoked, about $0.0001 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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