Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/malue-ai/dazee-smallnpx agentmods add skills/malue-ai/dazee-small/slidespeak-editorWrote 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-editor)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/slidespeak-editor"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/slidespeak-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-editor"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/slidespeak-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 | $0.00019 | $0.03024 |
| Opus 5 | $0.00010 | $0.01512 |
| Sonnet 5 | $0.00004 | $0.00605 |
| Haiku 4.5 | $0.00002 | $0.00302 |
Grade A, and why
slidespeak-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 — 426 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SlideSpeak Presentation Editor
编辑现有的 PowerPoint 文件,通过替换指定形状(shape)的内容来实现批量修改和个性化定制。
API 文档: https://docs.slidespeak.co/basics/api-references/edit-presentation/
API 规范摘要
端点
POST https://api.slidespeak.co/api/v1/presentation/edit
请求格式
- Content-Type:
multipart/form-data - Headers:
X-API-Key: YOUR_API_KEY
必需参数
- pptx_file (file): 要编辑的 PowerPoint 文件
- config (json): 包含替换配置的 JSON 对象
Config 结构
{
"replacements": [
{
"shape_name": "TARGET_SHAPE_NAME",
"content": "新内容"
}
]
}
响应格式
{
"url": "https://slidespeak-pptx-writer.s3.amazonaws.com/xxx.pptx"
}
使用场景
1. 批量个性化生成
- 模板化 PPT 批量生成(如销售提案、客户报告)
- 替换客户名称、数据、徽标等
2. 内容更新
- 更新现有 PPT 的特定部分
- 修改标题、副标题、正文内容
3. 多语言版本生成
- 基于一个模板生成不同语言版本
- 保持布局和设计不变
4. 数据驱动的报告
- 从数据库读取数据填充到 PPT 模板
- 自动生成周期性报告
使用流程
步骤 1: 准备模板 PPT
在 PowerPoint 中为需要替换的形状命名:
- 选择形状(文本框、标题等)
- 右键 → "选择窗格"(Selection Pane)
- 重命名形状为有意义的名称(如
TARGET_TITLE、TARGET_SUBTITLE、CLIENT_NAME等)
命名建议:
- 使用清晰的前缀:
TARGET_,DATA_,CLIENT_ - 使用描述性名称:
TITLE,SUBTITLE,CONTENT,DATE - 避免使用特殊字符和空格
步骤 2: 识别需要替换的形状
在使用 skill 之前,需要知道模板中的 shape 名称。可以:
- 手动在 PowerPoint 中查看(选择窗格)
- 使用 Python 脚本提取(见 helper scripts)
- 与模板创建者确认约定的命名规范
步骤 3: 准备替换内容
根据业务需求准备替换内容:
replacements = [
{
"shape_name": "CLIENT_NAME",
"content": "ABC公司"
},
{
"shape_name": "REPORT_DATE",
"content": "2024年第四季度"
},
{
"shape_name": "KEY_METRIC_1",
"content": "销售额: ¥1,234,567"
},
{
"shape_name": "SUMMARY_TEXT",
"content": "本季度业绩表现优异,同比增长35%。主要驱动因素包括:新产品线推出、市场份额扩大、客户满意度提升。"
}
]
步骤 4: 调用编辑工具
使用 slidespeak_edit 工具:
slidespeak_edit(
pptx_file_path="/path/to/template.pptx", # 模板文件路径
config={
"replacements": [
{
"shape_name": "CLIENT_NAME",
"content": "ABC公司"
},
{
"shape_name": "REPORT_TITLE",
"content": "2024 Q4 业绩报告"
},
# ... 更多替换
]
},
save_dir="./outputs/edited_ppt" # 保存目录
)
What ships with it
5 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 · 426 lines · 19 tokens per session scan A b77ed685cab1
slidespeak-editor is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 3,024 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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