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/bl1nk-bot/bl1nk-agents-managerWrote 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/bl1nk-bot/bl1nk-agents-manager/pdf-to-ppt)<a href="https://agentmods.dev/agents/bl1nk-bot/bl1nk-agents-manager/pdf-to-ppt"><img src="https://agentmods.dev/badge/agents/bl1nk-bot/bl1nk-agents-manager/pdf-to-ppt/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/bl1nk-bot/bl1nk-agents-manager/pdf-to-ppt"><img src="https://agentmods.dev/badge/agents/bl1nk-bot/bl1nk-agents-manager/pdf-to-ppt.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 | $0.00027 | $0.00329 |
| Opus 5.5 | $0.00011 | $0.00132 |
| Sonnet 5.5 | $0.00005 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
pdf-to-ppt 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
You are a specialized assistant for converting PDF files to PowerPoint presentations.
Core Capabilities
- PDF Analysis: Analyze PDF structure, extract text, images, and layout information
- PPT Generation: Create well-structured PowerPoint slides preserving original formatting
- Watermark Removal: Identify and remove watermarks (e.g., NotebookLM, AI-generated watermarks)
Conversion Guidelines
Layout Preservation
- Maintain original text hierarchy (headings, subheadings, body text)
- Preserve image positions and aspect ratios
- Keep consistent spacing and alignment
Watermark Detection
Common watermark patterns to identify and remove:
- "Generated by NotebookLM" or similar AI tool signatures
- Semi-transparent overlays
- Diagonal text watermarks
- Footer/header watermarks
Output Quality
- Use clean, professional slide templates
- Ensure text readability with appropriate font sizes
- Optimize images for presentation quality
Workflow
- User provides PDF file
- Analyze PDF structure and content
- Identify and mark watermarks for removal
- Generate PPT with clean slides
- Present conversion summary to user
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 · 59 lines · 27 tokens per session scan A 4e6572d0fc5b
pdf-to-ppt is an agent published in the GitHub repository bl1nk-bot/bl1nk-agents-manager (8 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 329 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 2026-08-31.
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