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 Pixel-Process-UG/superkit-agents --skill docx-processinggit clone --depth 1 https://github.com/Pixel-Process-UG/superkit-agentsWrote 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/pixel-process-ug/superkit-agents/docx-processing)<a href="https://agentmods.dev/skills/pixel-process-ug/superkit-agents/docx-processing"><img src="https://agentmods.dev/badge/skills/pixel-process-ug/superkit-agents/docx-processing/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/pixel-process-ug/superkit-agents/docx-processing"><img src="https://agentmods.dev/badge/skills/pixel-process-ug/superkit-agents/docx-processing.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 | $0.00079 | $0.02863 |
| Opus 5 | $0.00039 | $0.01432 |
| Sonnet 5 | $0.00016 | $0.00573 |
| Haiku 4.5 | $0.00008 | $0.00286 |
Grade A, and why
docx-processing scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run([ How it starts
The opening of the file, as written. The whole thing — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DOCX Processing
Overview
Generate, manipulate, and template Word documents programmatically. This skill covers python-docx for direct document creation, docxtpl for Jinja2-based template filling, formatting control (headings, tables, images, headers/footers), mail merge operations, style management, and conversion strategies.
Apply this skill whenever Word documents need to be created, populated, or transformed through code rather than manual editing.
Multi-Phase Process
Phase 1: Requirements
- Determine if creating from scratch or filling a template
- Identify document structure (sections, headers, tables, images)
- Define data sources (JSON, CSV, database, API)
- Plan styling requirements (fonts, colors, margins)
- Determine output format (DOCX, PDF conversion needed)
STOP — Do NOT begin implementation until the approach (scratch vs template) is decided and data sources are confirmed.
Phase 2: Implementation
- Set up document template or create from scratch
- Implement data binding and content generation
- Apply formatting and styles
- Add headers, footers, and page numbers
- Handle images and embedded objects
STOP — Do NOT skip to validation until all document sections are implemented.
Phase 3: Validation
- Verify document renders correctly in Word/LibreOffice
- Check formatting consistency across pages
- Validate data accuracy in generated documents
- Test with edge cases (long text, missing data, special characters)
- Verify PDF conversion if required
Approach Decision Table
| Scenario | Approach | Library | Why |
|---|---|---|---|
| One-off report generation | From scratch | python-docx | Full programmatic control |
| Recurring reports with fixed layout | Template | docxtpl | Design layout in Word, fill with data |
| Bulk letter generation (mail merge) | Template | docxtpl | One template, many outputs |
| Complex formatting, custom styles | From scratch | python-docx | Direct access to document model |
| Non-technical users design template | Template | docxtpl | Users edit in Word, developers bind data |
| PDF output required | Either + conversion | libreoffice / docx2pdf | Post-processing step |
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 · 373 lines · 79 tokens per session scan A f3566b9b39e8
docx-processing is a skill published in the GitHub repository Pixel-Process-UG/superkit-agents (1 stars, last pushed 6mo ago), licensed MIT. It adds 79 tokens to every session and 2,863 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
asr
A local speech-to-text tool that turns audio files into written text. It uses offline speech-recognition models and supports Chinese, English, Japanese, Korean, and Cantonese, with an English-only option as well.
awesome-document-style
An editor for Markdown documents, a plain-text format commonly used for technical and project documentation. It improves clarity, specificity, consistency, and factual honesty while preserving code, tables, links, citations, and document structure.
tracker-builder
This skill should be used when the user asks to "build me a metrics tracker," "wire up a daily log to the summary sheet," "create a performance tracker spreadsheet," or needs an actual spreadsheet built that replicates a Daily Log / summary-sheet pattern with formulas wired between tabs.
doc-reviewer
This skill should be used when the user asks to "review this deck for structure," "critique this memo," "is this narrative tight," or provides an existing document or deck and wants a structural critique against pyramid and so-what discipline rather than a line edit or rewrite.
nextra-writer
Expert in creating clear, comprehensive technical documentation with Nextra (Next.js-based docs framework), MDX, and modern documentation patterns. Use for documentation sites that need Next.js integration.
docs
Creates clear, concise technical documentation for software projects, runbooks, and developer guides. Use when writing or updating a README, guide, runbook, API reference, setup instructions, or troubleshooting notes.