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 agentmods add skills/bjorn-ingmanson/thefroject-plugins/docx-handlernpx skills add bjorn-ingmanson/thefroject-plugins --skill docx-handlergit clone --depth 1 https://github.com/bjorn-ingmanson/thefroject-pluginsWrote 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/bjorn-ingmanson/thefroject-plugins/docx-handler)<a href="https://agentmods.dev/skills/bjorn-ingmanson/thefroject-plugins/docx-handler"><img src="https://agentmods.dev/badge/skills/bjorn-ingmanson/thefroject-plugins/docx-handler.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 | $0.00052 | $0.00643 |
| Opus 5 | $0.00026 | $0.00321 |
| Sonnet 5 | $0.00010 | $0.00129 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
docx-handler 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 4d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOCX Handler
Operate on Microsoft Word files (.docx). Extract content, generate new documents from markdown, or apply targeted edits.
Pick the right approach
- Python with
python-docx— best for reading and writing with style awareness. - Pandoc (
pandoc input.md -o output.docx) — best for converting markdown → Word with reasonable defaults. - Node with
docxlibrary — use if Python isn't available.
If nothing is installed, prefer pip install python-docx for reads/edits or use Pandoc for markdown conversion. Tell the user you're installing it.
Reading
Print a quick structure summary so the user knows what's inside:
Pages: ~12 | Words: 3,840 | Sections: 4 | Tables: 2 | Headings: 18
Extract text faithfully — preserve heading levels, lists, and table structure when converting to markdown. Don't paraphrase.
Generating from markdown
When the user asks for a Word version of markdown content:
- Save the source markdown to
outputs/<topic>.mdfirst (so they have both versions). - Convert with Pandoc when available; fall back to
python-docxbuilding paragraphs by section. - Apply a heading style hierarchy (Heading 1 → Heading 2 → Heading 3) so the document is navigable.
- Tables: render as Word tables, not pasted text.
Editing
For targeted edits ("change every instance of X to Y"):
- Read the document, list the matches, ask before applying if there are more than 5.
- Preserve formatting: a styled run (bold, color, font) should keep its style after the substitution.
- For larger rewrites, prefer regenerating from a cleaned markdown source rather than in-place editing.
Output format
Save to outputs/<original-stem>-edited.docx for edits, outputs/<topic>.docx for new documents. Print a one-line report: path, sections added/changed, tables included.
Common mistakes
- Stripping styles when extracting (read with style awareness, don't dump plain text).
- Generating Word from markdown but losing tables or list nesting.
- Overwriting the source file.
- Inserting unicode characters that Word renders as boxes — verify the output opens cleanly.
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.
- 4d ago First seen · 62 lines · 52 tokens per session scan A 9c55a4caf224
docx-handler is a skill published in the GitHub repository bjorn-ingmanson/thefroject-plugins (1 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 643 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 2026-08-31.
Other skills, from other repositories
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
baoyu-youtube-transcript
Downloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面"…
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
read
Reads URLs and PDFs by fetching source content, defaulting to concise summaries for plain read requests and clean Markdown when asked to convert, save, quote, cite, or feed downstream work. Use when users ask in any language to read, fetch, check, summarize, quote, cite, convert, or save a URL or PDF. Not for local…
overleaf-sync
Two-way sync between a local paper directory and an Overleaf project, so ARIS audit/edit workflows stay on the local copy while collaborators edit in the Overleaf web UI. Use when user says "同步 overleaf", "overleaf sync", "推送到 overleaf", "connect overleaf", "Overleaf 桥接", "pull overleaf", "push overleaf", or wants to…
pdf-verification-cli
Verify PDF page count and content using command-line tools when Python libraries unavailable.