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 echoleesong/claude-skills-plugin --skill md-to-pptxgit clone --depth 1 https://github.com/echoleesong/claude-skills-pluginWrote 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/echoleesong/claude-skills-plugin/md-to-pptx)<a href="https://agentmods.dev/skills/echoleesong/claude-skills-plugin/md-to-pptx"><img src="https://agentmods.dev/badge/skills/echoleesong/claude-skills-plugin/md-to-pptx/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/echoleesong/claude-skills-plugin/md-to-pptx"><img src="https://agentmods.dev/badge/skills/echoleesong/claude-skills-plugin/md-to-pptx.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 | $0.00077 | $0.01613 |
| Opus 5 | $0.00039 | $0.00807 |
| Sonnet 5 | $0.00015 | $0.00323 |
| Haiku 4.5 | $0.00008 | $0.00161 |
Grade A, and why
md-to-pptx 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 10d 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
md-to-pptx
Convert Markdown to PowerPoint or generate presentations with AI assistance.
Dependencies
Install required packages before use:
pip install python-pptx Pillow
Note: Use python3 instead of python on systems where Python 3 is not the default.
Workflow
Step 1: Gather Requirements
IMPORTANT: Before generating any content, you MUST ask the user the following questions using the AskUserQuestion tool:
-
PPT页数 (Slide Count): 您希望PPT包含多少页?
- Options: 5-10页, 10-15页, 15-20页, 20页以上
-
面向用户群体 (Target Audience): 这个PPT的目标受众是谁?
- Options: 企业高管/决策者, 技术团队/开发者, 学生/教育场景, 普通大众/客户
-
PPT演示场景 (Presentation Context): 这个PPT将在什么场景下使用?
- Options: 商务汇报/会议, 产品发布/路演, 培训/教学, 学术报告/研究分享
-
PPT模板选择 (Template Selection): 是否使用已有的PPT模板?
- Options:
- business (商务风格 - 白色背景,深蓝标题)
- tech_dark (科技风格 - 深色背景,绿色点缀)
- education (教育风格 - 暖色背景,橙色点缀)
- neumorphism (新拟态风格 - 蓝黄色现代风格)
- 不使用模板/自定义
- Options:
Additional questions to ask:
- Source: Do you have an existing Markdown file, or should I generate content?
- Save location: Where to save the PPT? (default: user's current working directory)
Use the answers to guide content generation:
- Slide Count: Determines the depth and detail of content
- Target Audience: Affects language complexity, terminology, and examples
- Presentation Context: Influences tone, structure, and visual style
- Template: Sets the visual theme for the presentation
Step 2: Determine Approach
If converting existing Markdown:
- Read the Markdown file
- Parse content into slides (H1/H2 headings create new slides)
- Generate PPTX with appropriate layouts
If generating new content:
- Create an outline based on user's topic
- Present outline for user approval
- Generate full Markdown content
- Convert to PPTX
Step 3: Generate Presentation
Run the conversion script:
python scripts/md_to_pptx.py input.md -o output.pptx --theme business
What ships with it
9 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.
- assets/templates/business_template.pptx 31 KB
- assets/templates/education_template.pptx 31 KB
- assets/templates/tech_dark_template.pptx 31 KB
- assets/templates/蓝黄色新拟态行业调研报告PPT模板.pptx 465 KB
- references/markdown-format.md 3.4 KB
- scripts/generate_templates.py 8.6 KB runs code
- scripts/md_parser.py 13 KB runs code
- scripts/md_to_pptx.py 11 KB runs code
- scripts/pptx_generator.py 47 KB runs code
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.
- 10d ago First seen · 201 lines · 77 tokens per session scan A dc8b60f56261
md-to-pptx is a skill published in the GitHub repository echoleesong/claude-skills-plugin (4 stars, last pushed 3mo ago), licensed MIT. It adds 77 tokens to every session and 1,613 once invoked, about $0.0004 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 2026-08-31.
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