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 Chloris-Blaxk/inno-agent-hub --skill markitdowngit clone --depth 1 https://github.com/Chloris-Blaxk/inno-agent-hubWrote 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/chloris-blaxk/inno-agent-hub/markitdown)<a href="https://agentmods.dev/skills/chloris-blaxk/inno-agent-hub/markitdown"><img src="https://agentmods.dev/badge/skills/chloris-blaxk/inno-agent-hub/markitdown/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/chloris-blaxk/inno-agent-hub/markitdown"><img src="https://agentmods.dev/badge/skills/chloris-blaxk/inno-agent-hub/markitdown.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 | $0.00096 | $0.03075 |
| Opus 5 | $0.00048 | $0.01537 |
| Sonnet 5 | $0.00019 | $0.00615 |
| Haiku 4.5 | $0.00010 | $0.00308 |
Grade B, and why
markitdown scanned grade B with 1 finding 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 3d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get install tesseract-ocr The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
8 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/example_usage.md 10 KB
- references/api_reference.md 8.6 KB
- references/file_formats.md 8.8 KB
- scripts/batch_convert.py 6.5 KB runs code
- scripts/convert_literature.py 8.7 KB runs code
- scripts/convert_with_ai.py 7.3 KB runs code
- scripts/generate_schematic_ai.py 32 KB runs code
- scripts/generate_schematic.py 5.0 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.
- 3d ago Changed · +2 lines 6eca6eaa00d7
- 11d ago First seen · 488 lines · 96 tokens per session scan B 02bef7fbd5d0
markitdown is a skill published in the GitHub repository Chloris-Blaxk/inno-agent-hub (11 stars, last pushed 4d ago), with no licence file. It adds 96 tokens to every session and 3,075 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
tools-internal
A reference guide documents built-in commands for working with PDFs, images, video, and audio in the Nuphus application. It is meant to help an agent explain the tools to users.
chinese-video-transcribe-pdf
A workflow that turns Chinese-language videos, with or without subtitles, into structured text and a Chinese PDF report. It can use videos from sources such as YouTube or local MP4 files.
aos-agent-skill-document
A document-publishing workflow for planning, creating, converting, checking, and preparing reports, proposals, manuals, white papers, and brand documents for release.
报销助理
An expense assistant that reads invoice images, PDFs, and travel receipts, checks them against expense rules, and creates expense forms. OCR means reading printed text from an image automatically.
annual_report_parser
Parse PDF annual reports from global exchanges. Extracts TOC, chapters, financial highlights, and key narrative sections.
Генерация PDF из Markdown с точным академическим форматированием через Pandoc и LaTeX
A document workflow that turns Markdown text into PDF files using Pandoc and a custom LaTeX template. It applies specified academic page settings such as 14-point text, 1.5 line spacing, and A4 paper.