PraisonAI is a framework and SDK for building AI agents and teams that research, generate code or content, analyze data, support users, and automate workflows. Developers use it to create autonomous task-running agents with memory, retrieval-augmented generation, and support for many language models.
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 MervinPraison/PraisonAI --skill pdf-processinggit clone --depth 1 https://github.com/MervinPraison/PraisonAIWrote 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/mervinpraison/praisonai/pdf-processing)<a href="https://agentmods.dev/skills/mervinpraison/praisonai/pdf-processing"><img src="https://agentmods.dev/badge/skills/mervinpraison/praisonai/pdf-processing/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/mervinpraison/praisonai/pdf-processing"><img src="https://agentmods.dev/badge/skills/mervinpraison/praisonai/pdf-processing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00258 |
| Opus 5.5 | $0.00012 | $0.00103 |
| Sonnet 5.5 | $0.00006 | $0.00052 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
pdf-processing 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
PDF Processing Skill
Overview
This skill enables agents to process PDF documents, extract text content, and analyze the information within them.
When to Use
Activate this skill when:
- User asks to read or analyze a PDF file
- User needs to extract text from a PDF
- User wants to summarize a PDF document
- User needs to search for information within a PDF
Instructions
- First, verify the PDF file exists at the specified path
- Use appropriate tools to read the PDF content
- Extract text while preserving structure where possible
- For large PDFs, process in chunks to manage context
- Summarize or analyze based on user's specific request
Best Practices
- Always confirm the file path before processing
- Handle encrypted PDFs gracefully with appropriate error messages
- For scanned PDFs, note that OCR may be required
- Preserve important formatting like tables and lists
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 · 39 lines · 30 tokens per session scan A 6538b6692012
pdf-processing is a skill published in the GitHub repository MervinPraison/PraisonAI (9,240 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 258 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 2026-08-30.
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