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/arvo-ai/aurora/sharepointnpx skills add Arvo-AI/aurora --skill sharepointgit clone --depth 1 https://github.com/Arvo-AI/auroraWrote 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/arvo-ai/aurora/sharepoint)<a href="https://agentmods.dev/skills/arvo-ai/aurora/sharepoint"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/sharepoint.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 | $0.00020 | $0.00651 |
| Opus 5 | $0.00010 | $0.00326 |
| Sonnet 5 | $0.00004 | $0.00130 |
| Haiku 4.5 | $0.00002 | $0.00065 |
Grade A, and why
sharepoint 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 5d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SharePoint Integration
Overview
SharePoint integration for searching documents and pages via Microsoft Graph API during Root Cause Analysis. Use to find runbooks, architecture docs, and past incident reports stored in SharePoint.
Instructions
Tools
sharepoint_search(query='error keywords', site_id='optional-site-id')-- Search across SharePoint for pages, documents, and list items matching a query. Pass a search query and optionalsite_idto restrict to a specific site. Returns matching items with excerpts.sharepoint_fetch_page(site_id='site-id', page_id='page-id')-- Fetch a SharePoint page by site ID and page ID and return its content as markdown. Use after search to read full page details.sharepoint_fetch_document(drive_id='drive-id', item_id='item-id')-- Fetch a SharePoint document by drive ID and item ID and return extracted text content. Use for Word docs, PDFs, and other documents stored in SharePoint document libraries.sharepoint_create_page(site_id='site-id', title='...', content='...')-- Create a new SharePoint page with the given title and HTML/markdown content. Use to publish incident reports, postmortems, or runbooks to SharePoint.
RCA Investigation Flow
Step 1 -- Search for relevant documents
sharepoint_search(query='error keywords', site_id='optional-site-id') -- Search across SharePoint for pages, documents, and list items
Step 2 -- Read page content
sharepoint_fetch_page(site_id='site-id', page_id='page-id') -- Read full page content as markdown
Step 3 -- Extract document content
sharepoint_fetch_document(drive_id='drive-id', item_id='item-id') -- Extract text from Word docs, PDFs, etc.
Workflow
Search first to find relevant documents and pages, then fetch content for detailed review.
Post-Investigation
Use sharepoint_create_page to publish incident reports, postmortems, or runbooks back to SharePoint for the team.
Important Rules
- Search SharePoint early in the investigation for existing runbooks and procedures.
- Use
sharepoint_fetch_pagefor web pages andsharepoint_fetch_documentfor uploaded files (Word, PDF). - Cross-reference findings with live infrastructure state.
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.
- 5d ago First seen · 59 lines · 20 tokens per session scan A d904f79d2f8c
sharepoint is a skill published in the GitHub repository Arvo-AI/aurora (404 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 651 once invoked, about $0.0001 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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