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 OpenTechIL/markitdown-for-ai --skill document-to-markdowngit clone --depth 1 https://github.com/OpenTechIL/markitdown-for-aiWrote 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/opentechil/markitdown-for-ai/document-to-markdown)<a href="https://agentmods.dev/skills/opentechil/markitdown-for-ai/document-to-markdown"><img src="https://agentmods.dev/badge/skills/opentechil/markitdown-for-ai/document-to-markdown.svg" alt="Measured on agentmods" 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 | $0.00045 | $0.02264 |
| Opus 5 | $0.00023 | $0.01132 |
| Sonnet 5 | $0.00009 | $0.00453 |
| Haiku 4.5 | $0.00005 | $0.00226 |
Grade A, and why
document-to-markdown scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 236 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document to Markdown Conversion
Convert documents to Markdown using the markitdown-for-ai Docker image. No local Python install needed — runs entirely in Docker.
Prerequisites
⚠️ This skill requires Docker or Podman to be installed and available on your system. Ensure either Docker Desktop or Podman is running before using this skill.
Quick Commands
This skill uses Docker by default. If Docker is not available, it will automatically try Podman instead.
From stdin (pipe):
# Try Docker first
docker run --rm -i ghcr.io/opentechil/markitdown-for-ai:latest < file.pdf
# If Docker is not available, use Podman:
podman run --rm -i ghcr.io/opentechil/markitdown-for-ai:latest < file.pdf
From a local file (mount current directory):
# Try Docker first
docker run --rm -v "$(pwd):/data" -w /data ghcr.io/opentechil/markitdown-for-ai:latest file.docx
# If Docker is not available, use Podman:
podman run --rm -v "$(pwd):/data" -w /data ghcr.io/opentechil/markitdown-for-ai:latest file.docx
Save output to a file:
# Try Docker first
docker run --rm -i ghcr.io/opentechil/markitdown-for-ai:latest < input.pptx > output.md
# If Docker is not available, use Podman:
podman run --rm -i ghcr.io/opentechil/markitdown-for-ai:latest < input.pptx > output.md
Pipe from cat:
# Try Docker first
cat file.xlsx | docker run --rm -i ghcr.io/opentechil/markitdown-for-ai:latest
# If Docker is not available, use Podman:
cat file.xlsx | podman run --rm -i ghcr.io/opentechil/markitdown-for-ai:latest
Supported Formats
| Format | Extension |
|---|---|
.pdf |
|
| Word | .docx |
| PowerPoint | .pptx |
| Excel | .xlsx |
| HTML | .html |
Pull the Image (first time)
docker pull ghcr.io/opentechil/markitdown-for-ai:latest
Agent Workflow
When a user gives you a document file to read or analyze:
- Check if Docker is available — if not, try Podman (the skill automatically falls back)
- Run the conversion command above
- Capture stdout as the Markdown content
- Read and reason over the Markdown directly — no temp files needed
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.
- 6d ago First seen · 236 lines · 45 tokens per session scan A 323cd632d002
document-to-markdown is a skill published in the GitHub repository OpenTechIL/markitdown-for-ai (3 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 2,264 once invoked, about $0.0002 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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