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 coroboros/agent-skills --skill markitdowngit clone --depth 1 https://github.com/coroboros/agent-skillsWrote 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/coroboros/agent-skills/markitdown)<a href="https://agentmods.dev/skills/coroboros/agent-skills/markitdown"><img src="https://agentmods.dev/badge/skills/coroboros/agent-skills/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/coroboros/agent-skills/markitdown"><img src="https://agentmods.dev/badge/skills/coroboros/agent-skills/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 | $0.00041 | $0.01803 |
| Opus 5.5 | $0.00016 | $0.00721 |
| Sonnet 5.5 | $0.00008 | $0.00361 |
| Haiku 4.5 | $0.00004 | $0.00180 |
Grade A, and why
markitdown 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MarkItDown
Convert a document, image, audio file, or YouTube URL to Markdown using Microsoft's markitdown CLI. The skill validates the input, composes the right flags, optionally saves the result under ~/.agents/output/<project>/markitdown/<slug>/, and reports a one-line summary with the fully-expanded absolute path (no tilde, no magic).
The deterministic work — install check, validation, slug derivation, save path, command composition — happens in scripts/markitdown.sh. The skill parses $ARGUMENTS, hands them to the script, and turns the script's RESULT: lines into a human report.
Install
pip install 'markitdown[all]'
For a smaller install, pick only what you need:
| Group | Adds |
|---|---|
[pdf] |
PDF parsing |
[docx] |
Word documents |
[pptx] |
PowerPoint |
[xlsx] [xls] |
Excel |
[outlook] |
Outlook .msg |
[audio-transcription] |
MP3/WAV transcription; the current converter sends audio to Google recognition |
[youtube-transcription] |
YouTube transcripts |
[az-doc-intel] |
Azure Document Intelligence backend |
For Azure Document Intelligence, also export MARKITDOWN_DOCINTEL_ENDPOINT=https://<resource>.cognitiveservices.azure.com/ before invoking with -d.
Parameters
| Flag | Default | Effect |
|---|---|---|
-s |
off | Save Markdown to ~/.agents/output/<project>/markitdown/<slug>/<stem>.md |
-S |
off | Force no-save (override an ambient save mode) |
-d |
off | Use Azure Document Intelligence (needs MARKITDOWN_DOCINTEL_ENDPOINT) |
-p |
off | Enable installed third-party markitdown plugins |
-k |
off | Keep data URIs (base64 images) inline in the output |
-l |
— | List installed plugins and exit |
Output saved under ~/.agents/output/{project}/markitdown/{slug}/, where {project} is the kebab-cased basename of the git toplevel (else cwd) and {slug} is a kebab of the input basename (≤5 words). Pipeline-friendly — typical downstream: /forge -s -f <path> decomposes the extracted content into workstreams; /apex -f <path> implements from it; any skill accepting -f can consume.
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.
- 1mo ago Changed · +2 lines · -89 tokens per session 58c5a9654ebc
- 1mo ago First seen · 101 lines · 130 tokens per session scan A 4c4847459142
markitdown is a skill published in the GitHub repository coroboros/agent-skills (4 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,803 once invoked, about $0.0002 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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