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 agentmods add skills/jansen611/agent-skills/markitdown-pythonnpx skills add Jansen611/Agent-Skills --skill markitdown-pythongit clone --depth 1 https://github.com/Jansen611/Agent-SkillsWhat 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 | $0.00101 | $0.01516 |
| Opus 5 | $0.00051 | $0.00758 |
| Sonnet 5 | $0.00020 | $0.00303 |
| Haiku 4.5 | $0.00010 | $0.00152 |
Grade A, and why
markitdown-python scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MarkItDown Skill
Convert various file formats to Markdown using microsoft/markitdown.
Pre-Check
Before converting any file, follow this check sequence:
Step 1: Check if markitdown is already in PATH
# Windows
Get-Command markitdown -ErrorAction SilentlyContinue
# macOS / Linux
which markitdown || command -v markitdown
If found → skip to Usage.
Step 2: Check if markitdown exists in ~/.venv
# Windows
Test-Path "$env:USERPROFILE\.venv\Scripts\markitdown.exe"
# macOS / Linux
test -f ~/.venv/bin/markitdown && echo "found"
If found → add to PATH for this session, then proceed to Usage:
# Windows
$env:PATH = "$env:USERPROFILE\.venv\Scripts;$env:PATH"
# macOS / Linux
export PATH="$HOME/.venv/bin:$PATH"
Step 3: Install (only if Steps 1 and 2 both failed)
# Windows
python -m venv "$env:USERPROFILE\.venv"
& "$env:USERPROFILE\.venv\Scripts\pip" install "markitdown[all]"
$env:PATH = "$env:USERPROFILE\.venv\Scripts;$env:PATH"
# macOS / Linux
python3 -m venv ~/.venv
~/.venv/bin/pip install "markitdown[all]"
export PATH="$HOME/.venv/bin:$PATH"
Installation Location
MarkItDown is installed in a dedicated venv at ~/.venv:
| Platform | Executable | pip |
|---|---|---|
| Windows | ~\.venv\Scripts\markitdown.exe |
~\.venv\Scripts\pip.exe |
| macOS / Linux | ~/.venv/bin/markitdown |
~/.venv/bin/pip |
Supported Formats
- PowerPoint (.pptx)
- Word (.docx)
- Excel (.xlsx, .xls)
- Images (EXIF metadata, OCR with plugin)
- Audio (EXIF metadata, speech transcription)
- HTML
- Text-based formats (CSV, JSON, XML)
- ZIP files (iterates over contents)
- YouTube URLs
- EPubs
- Outlook messages (.msg)
What ships with it
1 file 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.
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.
- yesterday First seen · 196 lines · 101 tokens per session scan A be1088cdaa89
markitdown-python is a skill published in the GitHub repository Jansen611/Agent-Skills (2 stars, last pushed 3d ago), licensed MIT. It adds 101 tokens to every session and 1,516 once invoked, about $0.0005 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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