Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/georgekhananaev/claude-skills-vaultnpx agentmods add skills/georgekhananaev/claude-skills-vault/file-converterWrote 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/georgekhananaev/claude-skills-vault/file-converter)<a href="https://agentmods.dev/skills/georgekhananaev/claude-skills-vault/file-converter"><img src="https://agentmods.dev/badge/skills/georgekhananaev/claude-skills-vault/file-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/georgekhananaev/claude-skills-vault/file-converter"><img src="https://agentmods.dev/badge/skills/georgekhananaev/claude-skills-vault/file-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 | $0.00076 | $0.02411 |
| Opus 5.5 | $0.00030 | $0.00964 |
| Sonnet 5.5 | $0.00015 | $0.00482 |
| Haiku 4.5 | $0.00008 | $0.00241 |
Grade A, and why
file-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 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 — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.
File Converter
Convert files between formats w/ single & batch support. All scripts use consistent CLI patterns.
When to Use
- Convert images between PNG, JPG, WEBP, BMP, TIFF, GIF, ICO, AVIF, HEIC/HEIF
- Resize/crop images w/ fit modes (contain, cover, fill, inside, outside)
- Convert markdown -> PDF or HTML w/ themes
- Convert HTML -> markdown (w/ tag stripping control)
- Transform CSV <-> JSON <-> YAML <-> TOML <-> XML
- SVG <-> raster conversion (PNG, JPG, WEBP, BMP, TIFF)
- Base64 encode/decode files (w/ data URI support, stdin)
- Fix text encoding issues (detect, convert w/ error handling strategies)
Quick Routing
| Task | Script | Deps |
|---|---|---|
| Image convert/resize | convert_image.py |
Pillow, pillow-heif (opt) |
| Markdown -> HTML | md_to_html.py |
markdown, pygments |
| Markdown -> PDF | md_to_pdf.py |
markdown + weasyprint|pdfkit |
| HTML -> Markdown | html_to_md.py |
markdownify, bs4 |
| CSV/JSON/YAML/TOML/XML | csv_json_yaml.py |
pyyaml, tomli-w, xmltodict, dicttoxml (per format) |
| SVG convert | svg_convert.py |
cairosvg, Pillow |
| Base64 encode/decode | base64_codec.py |
(none) |
| Text encoding | text_encoding.py |
chardet (opt) |
| Cross-platform utils | platform_utils.py |
(none) - shared by pdf/svg scripts |
Install Deps
# All deps (recommended)
pip install Pillow markdown pygments weasyprint markdownify beautifulsoup4 cairosvg pyyaml chardet tomli-w xmltodict dicttoxml
# Optional
pip install pillow-heif # HEIC/HEIF support
# Minimal (per task)
pip install Pillow # Images only
pip install markdown pygments # MD -> HTML only
pip install markdown weasyprint # MD -> PDF only (macOS: brew install pango)
pip install markdownify beautifulsoup4 # HTML -> MD only
pip install pyyaml # YAML support
pip install tomli-w # TOML write (read: Python 3.11+ built-in)
pip install xmltodict dicttoxml # XML support
pip install cairosvg # SVG -> raster (macOS: brew install cairo)
pip install chardet # Encoding detection
What ships with it
9 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.
- scripts/base64_codec.py 4.2 KB runs code
- scripts/convert_image.py 7.6 KB runs code
- scripts/csv_json_yaml.py 7.7 KB runs code
- scripts/html_to_md.py 4.5 KB runs code
- scripts/md_to_html.py 8.2 KB runs code
- scripts/md_to_pdf.py 8.1 KB runs code
- scripts/platform_utils.py 3.3 KB runs code
- scripts/svg_convert.py 6.1 KB runs code
- scripts/text_encoding.py 5.7 KB runs code
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 First seen · 283 lines · 76 tokens per session scan A 56c41ddbc4d4
file-converter is a skill published in the GitHub repository georgekhananaev/claude-skills-vault (30 stars, last pushed 2mo ago), licensed MIT. It adds 76 tokens to every session and 2,411 once invoked, about $0.0003 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 2026-08-30.
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