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 Orkas-AI/Orkas-Awesome-AgentSkills --skill office-wordgit clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkillsWrote 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/orkas-ai/orkas-awesome-agentskills/office-word)<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/office-word"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/office-word/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/orkas-ai/orkas-awesome-agentskills/office-word"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/office-word.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 | $0.00002 | $0.00901 |
| Opus 5 | $0.00001 | $0.00451 |
| Sonnet 5 | $0.00000 | $0.00180 |
| Haiku 4.5 | $0.00000 | $0.00090 |
Grade A, and why
office-word 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 13d 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Office Word
When to Use
Use when the main artifact is a Microsoft Word document, .docx file, template, report, contract, policy, proposal, or review draft.
Also use when the user cares about styles, numbering, tables, headers, footers, sections, fields, comments, tracked changes, or cross-editor compatibility.
Do not use for spreadsheet logic, slide decks, PDF-only edits, or Notion/wiki capture unless a Word/DOCX artifact is part of the requested deliverable.
Workflow
- Classify the job: create, inspect, summarize, local edit, tracked-change edit, table/layout adjustment, template cleanup, or compatibility check.
- For an existing
.docx, inspect the package structure when needed:word/document.xml,styles.xml,numbering.xml, headers, footers, comments, relationships, and section properties. - Make a backup copy before editing an existing file. Never overwrite the only user-provided source file.
- Preserve the existing style system, numbering definitions, fields, bookmarks, comment anchors, revision blocks, section settings, and relationship files unless the user explicitly asks to change them.
- Edit the smallest safe span. This is especially important for legal, academic, business review, and tracked-change workflows.
- For new documents, use named styles and explicit page size, margins, table widths, section settings, and heading hierarchy.
- Before delivery, check text correctness, stale fields, table overflow, broken header/footer relationships, numbering stability, comments/revisions integrity, and compatibility risks.
Return Format
For a new document, return the generated .docx path and summarize the structure, styles, and main sections.
For inspection, return a short report with detected issues, risk level, and recommended fixes.
For edits, return the modified .docx path, the backup path if created, and a change summary. State whether tracked changes, comments, fields, numbering, headers/footers, and sections were preserved.
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.
- 13d ago First seen · 61 lines · 2 tokens per session scan A 2aa58f85d796
office-word is a skill published in the GitHub repository Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), licensed MIT. It adds 2 tokens to every session and 901 once invoked, about $0.0000 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 2026-08-30.
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