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 notque/vexjoy-agent --skill markdown-convertergit clone --depth 1 https://github.com/notque/vexjoy-agentWrote 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/notque/vexjoy-agent/markdown-converter)<a href="https://agentmods.dev/skills/notque/vexjoy-agent/markdown-converter"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/markdown-converter/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/notque/vexjoy-agent/markdown-converter"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/markdown-converter.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 | $0.00019 | $0.00520 |
| Opus 5.5 | $0.00008 | $0.00208 |
| Sonnet 5.5 | $0.00004 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
markdown-converter 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 25d 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
Markdown Converter
Convert a file to Markdown with markitdown, zero install:
uvx 'markitdown[all]' input.pdf -o output.md # to file
uvx 'markitdown[all]' input.docx # to stdout
cat blob | uvx 'markitdown[all]' -x .pdf # stdin, with extension hint
When uvx is missing, run pipx run 'markitdown[all]' … with the same arguments. First run downloads dependencies; later runs hit the cache. Output preserves headings, tables, lists, and links.
For video transcripts, use the video-transcript skill.
Formats
| Input | Notes |
|---|---|
| PDF, .docx, .pptx, .xlsx, .xls | Document structure preserved |
| HTML, CSV, JSON, XML | Structured Markdown |
| Images | EXIF metadata + OCR text |
| Audio | EXIF metadata + speech transcription |
| ZIP, EPub | Iterates contents, converts each |
Options
| Flag | Effect |
|---|---|
-o FILE |
Write output to FILE |
-x .EXT |
Extension hint for stdin input |
-m MIME |
MIME-type hint |
-c CHARSET |
Charset hint, e.g. UTF-8 |
Error handling
Garbled or empty text from a scanned PDF
Cause: page is an image; the base extractor reads text layers only.
Solution: render pages to images (pdftoppm), then convert the images so OCR runs.
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.
- 26d ago Changed · -46 lines · +8 tokens per session 5aa13c59c367
- 27d ago Changed a62463315ac0
- 1mo ago First seen · 68 lines · 19 tokens per session scan A 4aea92e9c9b1
markdown-converter is a skill published in the GitHub repository notque/vexjoy-agent (442 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 520 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 2026-09-03.
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