AuC is a Python framework for running a single AI agent with an asynchronous, pluggable reasoning loop, language-model adapters, permission levels, and observable events. It is used to build coding and conversational agents with tools, security checks, web interfaces, background jobs, evaluations, and isolated execution. The catalogue entries are skills for extending its agent workflow.
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/ufy2024/AuCnpx agentmods add skills/ufy2024/auc/anthropic-docxWrote 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/ufy2024/auc/anthropic-docx)<a href="https://agentmods.dev/skills/ufy2024/auc/anthropic-docx"><img src="https://agentmods.dev/badge/skills/ufy2024/auc/anthropic-docx.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 | $0.00170 | $0.05803 |
| Opus 5 | $0.00085 | $0.02901 |
| Sonnet 5 | $0.00034 | $0.01161 |
| Haiku 4.5 | $0.00017 | $0.00580 |
Grade A, and why
anthropic-docx 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 9d 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.
This is a copy
84% identical to docx — 169 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 619 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOCX creation, editing, and analysis
Overview
A .docx file is a ZIP archive containing XML files.
Quick Reference
| Task | Approach |
|---|---|
| Read/analyze content | pandoc or unpack for raw XML |
| Create new document | Use docx-js - see Creating New Documents below |
| Edit existing document | Unpack → edit XML → repack - see Editing Existing Documents below |
Converting .doc to .docx
Legacy .doc files must be converted before editing:
python scripts/office/soffice.py --headless --convert-to docx document.doc
Reading Content
# Text extraction with tracked changes
pandoc --track-changes=all document.docx -o output.md
# Raw XML access
python scripts/office/unpack.py document.docx unpacked/
Converting to Images
python scripts/office/soffice.py --headless --convert-to pdf document.docx
pdftoppm -jpeg -r 150 document.pdf page
Accepting Tracked Changes
To produce a clean document with all tracked changes accepted (requires LibreOffice):
python scripts/accept_changes.py input.docx output.docx
Creating New Documents
Generate .docx files with JavaScript, then validate. Install: npm install -g docx
Setup
const { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell, ImageRun,
Header, Footer, AlignmentType, PageOrientation, LevelFormat, ExternalHyperlink,
InternalHyperlink, Bookmark, FootnoteReferenceRun, PositionalTab,
PositionalTabAlignment, PositionalTabRelativeTo, PositionalTabLeader,
TabStopType, TabStopPosition, Column, SectionType,
TableOfContents, HeadingLevel, BorderStyle, WidthType, ShadingType,
VerticalAlign, PageNumber, PageBreak } = require('docx');
const doc = new Document({ sections: [{ children: [/* content */] }] });
Packer.toBuffer(doc).then(buffer => fs.writeFileSync("doc.docx", buffer));
Validation
After creating the file, validate it. If validation fails, unpack, fix the XML, and repack.
python scripts/office/validate.py doc.docx
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.
- 9d ago First seen · 619 lines · 170 tokens per session scan A 27e26ee9df41
anthropic-docx is a skill published in the GitHub repository ufy2024/AuC (1,090 stars, last pushed 1mo ago), licensed MIT. It adds 170 tokens to every session and 5,803 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to docx, differing in 169 lines, and is treated as a copy.
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