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 zwolf25/tokenminning --skill doc-convertgit clone --depth 1 https://github.com/zwolf25/tokenminningWrote 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/zwolf25/tokenminning/doc-convert)<a href="https://agentmods.dev/skills/zwolf25/tokenminning/doc-convert"><img src="https://agentmods.dev/badge/skills/zwolf25/tokenminning/doc-convert/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/zwolf25/tokenminning/doc-convert"><img src="https://agentmods.dev/badge/skills/zwolf25/tokenminning/doc-convert.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 | $0.00175 | $0.01122 |
| Opus 5 | $0.00088 | $0.00561 |
| Sonnet 5 | $0.00035 | $0.00224 |
| Haiku 4.5 | $0.00017 | $0.00112 |
Grade A, and why
doc-convert 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 10d 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
doc-convert
Local, token-free document conversion. Two directions, routed by the input file extension:
- DOCX/XLSX/PPTX/RTF/ODT/ODS/ODP/EPUB/CSV/text-based PDF → Markdown — via
anydoc_to_md.py(Firecrawl's AnyDoc library), run throughuv run. Falls back tomarkitdownfor anything AnyDoc doesn't cover (scanned/image-heavy PDFs, HTML, images) or if AnyDoc errors. - Markdown → styled DOCX — via
convert.js, applying a style preset (default =styles/default.json).
Token rule (do not break): the conversion happens in a subprocess. Run it, then report the output path + the one-line status the tool prints. Never read the converted file back into context — a large document echoed into the chat is thousands of wasted tokens. The user asked for a file on disk, not the content in the conversation.
Step 1 — Prereq gate (offer the fallback ladder, don't dead-end)
Check what's installed before running:
- → Markdown needs
uvon PATH (runs AnyDoc viauv run --with firecrawl-anydoc, auto-fetched on first use — no separate install step). Test:uv --version. For the markitdown fallback path specifically, also needsmarkitdownon PATH. Test:markitdown --version(orwhich markitdown). - Markdown → DOCX needs
nodeon PATH (plus the globaldocxpackage). Test:node --version.
If a tool is missing, present the ladder — most-preferred first — instead of failing:
- Install (primary, token-free going forward): see this tool's README.md for install commands (
node/npm install -g docx,uv,uv tool install 'markitdown[all]'). - Fallback (no install, costs tokens): for →MD,
Readthe source file yourself and write the markdown out. For MD→DOCX without Node, produce a visually-equivalent reproduction using whatever docx-writing library is available in your environment. Note to the user that this path spends tokens.
Step 2 — Run the conversion
Inputs you need: source path, output path, and (for MD→DOCX) an optional style name.
What ships with it
6 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.
- 10d ago First seen · 54 lines · 175 tokens per session scan A 54097e1b2de2
doc-convert is a skill published in the GitHub repository zwolf25/tokenminning (30 stars, last pushed yesterday), licensed MIT. It adds 175 tokens to every session and 1,122 once invoked, about $0.0009 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 2026-09-07.
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