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 Nikolahuang/nova-cli --skill markdown-tools-1761523942927git clone --depth 1 https://github.com/Nikolahuang/nova-cliWrote 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/nikolahuang/nova-cli/markdown-tools-1761523942927)<a href="https://agentmods.dev/skills/nikolahuang/nova-cli/markdown-tools-1761523942927"><img src="https://agentmods.dev/badge/skills/nikolahuang/nova-cli/markdown-tools-1761523942927.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 | $0.00069 | $0.00921 |
| Opus 5 | $0.00034 | $0.00461 |
| Sonnet 5 | $0.00014 | $0.00184 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
markdown-tools 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 8d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Markdown Tools
Overview
This skill provides document conversion to markdown with Windows/WSL path handling support. It helps convert various document formats to markdown and handles path conversions between Windows and WSL environments.
Core Capabilities
1. Markdown Conversion
Convert documents to markdown format with automatic Windows/WSL path handling.
2. Confluence Export Processing
Handle Confluence .doc exports with special characters for knowledge base integration.
Quick Start
Convert Any Document to Markdown
# Basic conversion
markitdown "path/to/document.pdf" > output.md
# WSL path example
markitdown "/mnt/c/Users/username/Documents/file.docx" > output.md
See references/conversion-examples.md for detailed examples of various conversion scenarios.
Convert Confluence Export
# Direct conversion for simple exports
markitdown "confluence-export.doc" > output.md
# For exports with special characters, see references/
Path Conversion
Windows to WSL Path Format
Windows paths must be converted to WSL format before use in bash commands.
Conversion rules:
- Replace
C:\with/mnt/c/ - Replace
\with/ - Preserve spaces and special characters
- Use quotes for paths with spaces
Example conversions:
# Windows path
C:\Users\username\Documents\file.doc
# WSL path
/mnt/c/Users/username/Documents/file.doc
Helper script: Use scripts/convert_path.py to automate conversion:
python scripts/convert_path.py "C:\Users\username\Downloads\document.doc"
See references/conversion-examples.md for detailed path conversion examples.
Document Conversion Workflows
Workflow 1: Simple Markdown Conversion
For straightforward document conversions (PDF, .docx without special characters):
- Convert Windows path to WSL format (if needed)
- Run markitdown
- Redirect output to .md file
See references/conversion-examples.md for detailed examples.
Workflow 2: Confluence Export with Special Characters
What ships with it
2 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.
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.
- 8d ago First seen · 147 lines · 69 tokens per session scan A e6e9aa2e4f75
markdown-tools is a skill published in the GitHub repository Nikolahuang/nova-cli (14 stars, last pushed 5mo ago), licensed MIT. It adds 69 tokens to every session and 921 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
pydicom
Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
pdf-extract-create-workflow
Complete PDF lifecycle: download, extract, and generate structured documents with reportlab.
document-direct-python
Use direct Python execution for reliable document creation including spreadsheets, PDFs, and structured reports.
pdf-verification-cli
Verify PDF page count and content using command-line tools when Python libraries unavailable.