office-document-review

office-document-review is a skill for Claude Code, Codex from AtlasOmnia/donna-starter. It costs 38 tokens per session (1,221 once invoked), scanned A, original, MIT.

A workflow for finding documents in a OneDrive- or SharePoint-style folder tree and checking them for spelling and grammar errors.

In plain words
What is it for?
Use it to search folders, extract document text, and proofread multiple office documents.
Why use it?
It helps locate the correct folder when names or dates differ from what someone remembers, then records proofreading results across its documents.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to search folders, extract document text, and proofread multiple office documents.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/atlasomnia/donna-starter/office-document-review
Install

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.

Any agent
npx skills add AtlasOmnia/donna-starter --skill office-document-review
Clone the repo
git clone --depth 1 https://github.com/AtlasOmnia/donna-starter

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for office-document-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/atlasomnia/donna-starter/office-document-review/github.svg)](https://agentmods.dev/skills/atlasomnia/donna-starter/office-document-review)
Your own site
<a href="https://agentmods.dev/skills/atlasomnia/donna-starter/office-document-review"><img src="https://agentmods.dev/badge/skills/atlasomnia/donna-starter/office-document-review/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.

agentmods 80×15 button for office-document-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/atlasomnia/donna-starter/office-document-review"><img src="https://agentmods.dev/badge/skills/atlasomnia/donna-starter/office-document-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,221 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.01221
Opus 5 $0.00019 $0.00611
Sonnet 5 $0.00008 $0.00244
Haiku 4.5 $0.00004 $0.00122

Measured 10d ago against content hash b6cc86779655, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

office-document-review 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/productivity/office-document-review/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Office Document Review

Use this skill when the user wants you to inspect a OneDrive/SharePoint-style folder tree, locate a subfolder by name/date, and proofread all documents in it for spelling and grammar.

This is a workflow skill, not a single-app skill: it covers local file-system browsing, document text extraction, and batch proofreading notes.

Triggers

  • "go to the OneDrive folder"
  • "look in folder X and then folder Y"
  • "proofread all those documents"
  • "check for spelling/grammar errors in the docs"
  • "review the files in this folder"

Core workflow

  1. Resolve the real path first
  • Prefer a filesystem path over guessing from the user’s wording.
  • Folder names in casual speech may not match the actual on-disk name exactly.
  • If the exact folder cannot be found, list the visible folder names and state what is missing before asking for clarification.
  1. Search the tree recursively
  • Use the live file tree to locate the target folder and confirm the actual path.
  • When the user gives a date-like folder name, search for variant spellings and punctuation (6-2-26, 6.2.26, 6_2_26, 6-2-2026) before assuming it does not exist.
  1. Inventory the documents
  • Identify all files in the target folder.
  • Group by extension and prioritize editable office docs (.docx, .doc, .odt, .rtf, .txt) before PDFs or spreadsheets.
  1. Extract readable text
  • For Word/Office files, extract the text in a way that preserves headings and paragraphs as much as possible.
  • If the file-reading tool rejects .docx as binary, do not classify the document as unreadable and do not repeat the same call across the batch. A DOCX is a ZIP package: validate it with Python zipfile, then use python-docx when available or extract word/document.xml and convert paragraph/table XML to bounded text. Record package validity, paragraph/table counts, and extraction method. Use native Word or PDF rendering separately when layout—not just text—is under review.
  • When validating generated fixtures, compare extracted text against the fixture specification or authoritative .txt source before opening Word. A valid ZIP alone does not prove the fixture contains the intended content.
  • For scanned or image-based files, use OCR or an extraction tool first.
  • If a file is not meaningfully text-reviewable after at least one appropriate format-specific fallback, say so explicitly instead of pretending to proofread it.

Read the full file on GitHub · 108 lines

Changes

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.

  1. 10d ago First seen · 108 lines · 38 tokens per session scan A b6cc86779655

Subscribe to this mod's changes

office-document-review is a skill published in the GitHub repository AtlasOmnia/donna-starter (110 stars, last pushed 11d ago), licensed MIT. It adds 38 tokens to every session and 1,221 once invoked, about $0.0002 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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