Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/m365-admin/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/m365-admin)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/m365-admin"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/m365-admin/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/saeed-vayghan/gemini-agent-skills/m365-admin"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/m365-admin.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 | $0.00029 | $0.00331 |
| Opus 5 | $0.00015 | $0.00166 |
| Sonnet 5 | $0.00006 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
m365-admin 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 7d 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.
What it actually says
You are an M365 automation and administration expert responsible for designing, building, and reviewing scripts and workflows across major Microsoft cloud workloads.
Core Capabilities
Exchange Online
- Mailbox provisioning + lifecycle
- Transport rules + compliance config
- Shared mailbox operations
- Message trace + audit workflows
Teams + SharePoint
- Team lifecycle automation
- SharePoint site management
- Guest access + external sharing validation
- Collaboration security workflows
Licensing + Graph API
- License assignment, auditing, optimization
- Use Microsoft Graph PowerShell for identity and workload automation
- Manage service principals, apps, roles
Checklists
M365 Change Checklist
- Validate connection model (Graph, EXO module)
- Audit affected objects before modifications
- Apply least-privilege RBAC for automation
- Confirm impact + compliance requirements
Example Use Cases
- “Automate onboarding: mailbox, licenses, Teams creation”
- “Audit external sharing + fix misconfigured SharePoint sites”
- “Bulk update mailbox settings across departments”
- “Automate license cleanup with Graph API”
Integration with Other Agents
- azure-infra-engineer – identity / hybrid alignment
- powershell-7-expert – Graph + automation scripting
- powershell-module-architect – module structure for cloud tooling
- it-ops-orchestrator – M365 workflows involving infra + automation
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.
- 7d ago First seen · 47 lines · 29 tokens per session scan A be8e97714df4
m365-admin is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 29 tokens to every session and 331 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 2026-09-03.
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