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 skills add malue-ai/dazee-small --skill slidespeak-slide-editorgit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/skills/malue-ai/dazee-small/slidespeak-slide-editor)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/slidespeak-slide-editor"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/slidespeak-slide-editor/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/skills/malue-ai/dazee-small/slidespeak-slide-editor"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/slidespeak-slide-editor.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 | $0.00022 | $0.03926 |
| Opus 5 | $0.00011 | $0.01963 |
| Sonnet 5 | $0.00004 | $0.00785 |
| Haiku 4.5 | $0.00002 | $0.00393 |
Grade A, and why
slidespeak-slide-editor 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 557 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SlideSpeak Slide Editor
在 SlideSpeak 系统中编辑已生成的 PPT，支持智能添加、重新生成或删除幻灯片。
API 文档: https://docs.slidespeak.co/basics/api-references/edit-slide/
API 规范摘要
端点
POST https://api.slidespeak.co/api/v1/presentation/edit/slide
三种编辑操作
| 操作 | 说明 | 消耗 Credits | Prompt 必需 |
|---|---|---|---|
| INSERT | 在指定位置插入新幻灯片 | ✅ 1 credit | ✅ 是 |
| REGENERATE | 重新生成已有幻灯片 | ✅ 1 credit | ✅ 是 |
| REMOVE | 删除指定位置的幻灯片 | ❌ 0 credit | ❌ 否 |
必需参数
- presentation_id (string): PPT 的 ID（从生成时获得）
- edit_type (enum):
INSERT|REGENERATE|REMOVE - position (number): 幻灯片位置索引（从 0 开始）
- prompt (string): 内容描述（INSERT/REGENERATE 必需）
可选参数
document_uuids: 参考文档的 UUID 列表fetch_images: 是否包含图片（继承自 PPT 设置）verbosity:concise|standard|text-heavytone:default|casual|professional|funny|educational|sales_pitchadd_speaker_notes: 是否添加演讲者备注use_general_knowledge: 是否使用通用知识扩展use_wording_from_document: 是否使用文档原文use_document_images: 是否使用文档中的图片
异步处理
1. 发送编辑请求 → 返回 task_id
2. 轮询 /task_status/{task_id} 直到 status = "SUCCESS"
3. 使用 task_result 中的 url 下载编辑后的 PPT
使用场景
1. 在对话中持续完善 PPT
用户: "帮我生成一个产品介绍 PPT"
Agent: [生成 PPT，保存 presentation_id]
用户: "在第3页后添加一页关于定价方案的内容"
Agent: [使用 slidespeak_edit_slide]
→ INSERT at position=3
→ prompt="添加定价方案页，包含三个套餐"
用户: "把第5页重新生成，要更详细一些"
Agent: [使用 slidespeak_edit_slide]
→ REGENERATE at position=4
→ prompt="重新生成，添加更多技术细节"
用户: "删除第7页"
Agent: [使用 slidespeak_edit_slide]
→ REMOVE at position=6
2. 快速迭代优化
用户: "这个 PPT 的市场分析页面太简单了，帮我扩展成两页"
Agent:
1. REGENERATE 原页面（更详细）
2. INSERT 新页面（添加补充内容）
3. 动态调整结构
用户: "把所有关于竞争对手的内容集中到一起"
Agent:
1. INSERT 新的"竞争分析"页
2. 整合现有相关内容
3. REMOVE 旧的分散页面
使用流程
自动流程（推荐）
系统会自动从对话历史中提取 presentation_id：
# 第一步：生成 PPT
用户: "生成一个关于 AI 的 PPT"
Agent: [slidespeak-generator] → presentation_id = "xxx"
[自动保存到对话上下文]
# 第二步：编辑 PPT（自动识别）
用户: "在第2页后添加一页关于机器学习的内容"
Agent: [自动提取 presentation_id]
[理解意图：INSERT at position=2]
[调用 slidespeak_edit_slide]
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 557 lines · 22 tokens per session scan A 458cc1d2fc53
slidespeak-slide-editor is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 3,926 once invoked, about $0.0001 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.
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