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 sandraschi/windows-operations-mcp --skill windows-expertgit clone --depth 1 https://github.com/sandraschi/windows-operations-mcpWrote 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/sandraschi/windows-operations-mcp/windows-expert)<a href="https://agentmods.dev/skills/sandraschi/windows-operations-mcp/windows-expert"><img src="https://agentmods.dev/badge/skills/sandraschi/windows-operations-mcp/windows-expert/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/sandraschi/windows-operations-mcp/windows-expert"><img src="https://agentmods.dev/badge/skills/sandraschi/windows-operations-mcp/windows-expert.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 | $0.00000 | $0.00706 |
| Opus 5.5 | $0.00000 | $0.00282 |
| Sonnet 5.5 | $0.00000 | $0.00141 |
| Haiku 4.5 | $0.00000 | $0.00071 |
Grade A, and why
windows-expert 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 2mo 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.
🛠️ Skill: Windows Native Hardening & Data Surgery
Name: windows-expert
Description: Expert in Windows-native orchestration, registry hardening, account management, and high-fidelity JSON/Archive surgery.
📖 Overview
This skill provides the operational logic and safe-mode patterns for managing Windows systems at an industrial grade. It prioritizes system integrity via "Safe Mode" registry operations and "Lean SOTA" data manipulation.
🛠️ Tool Interaction Patterns
1. Registry Hardening (windows_registry)
- Pattern: Always perform a read/export before a write.
- Safe Mode: The
safe_mode=Trueparameter (default) automatically exports the target key tobackups/registry/before any destructive action. - Hardening Example:
- Action:
delete - Key:
HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows\CurrentVersion\Run\UnwantedApp - Result: Auto-backup created.
- Action:
2. Local Account Management (windows_accounts)
- Pattern: List users before adding or modifying passwords.
- Groups: Use
manage_groupto enforce the Principle of Least Privilege (PoLP). - Audit: Run
get_group_memberson the "Administrators" group to identify SID-based privilege creep.
3. Networking & Perimeter (windows_network)
- Firewall: Use
firewall_listbefore adding new rules. - Diagnostics: Always
flush_dnsas a first step in network-related agentic troubleshooting.
4. Environment Surgery (windows_environment)
- Persistence: Distinguish between
UserandSystemscopes. - Synchronization: Always trigger a
broadcastafter modifications to ensure running processes adopt the new environment map.
🛰️ Agentic Workflows (FastMCP 3.2+)
⚡ Thinking Pattern: Autonomous Hardening
- Inventory: Run
windows_automation(action="wmi_query", wmi_class="Win32_OperatingSystem")to identify the environment. - Audit: Run
windows_accounts(action="list_users")orwindows_services(action="list"). - Diagnostic Sampling: Use SEP-1577 Sampling (
ctx.sample()) with a 'Reasoning' prompt to identify vulnerabilities in the inventory. - Remediation: Use
windows_registryorwindows_servicesto apply changes. - Verification: Re-audit and log the results using
json_operations(action="write")to a status report.
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.
- 2mo ago First seen · 61 lines · 0 tokens per session scan A 555a4c40a886
windows-expert is a skill published in the GitHub repository sandraschi/windows-operations-mcp (6 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 706 tokens. 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 2026-08-31.
windows-expert compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| windows-expertsandraschi/windows-operations-mcp | Skill | 6 | 9d ago | MIT | A | 0 | Claude Code, Codex |
| analyzing-windows-prefetch-with-python26zl/cybersec-toolkit | Skill | 90 | 5d ago | MIT | A | 43 | Claude Code |
| analyzing-windows-prefetch-with-pythonoyi77/1ai-skills | Skill | 17 | today | MIT | A | 56 | Claude Code |
| gurume-clinarumiruna/gurume | Skill | 13 | 9d ago | MIT | A | 127 | Claude Code, Codex |
| nulcleanerellmos-ai/skills | Skill | 9 | yesterday | MIT | A | 37 | Claude Code, Codex |
| encoding-fixellmos-ai/skills | Skill | 9 | yesterday | MIT | A | 47 | Claude Code, Codex |
| swagjmagar/swag-mcp | Skill | 7 | 5d ago | MIT | A | 118 | Claude Code |