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 automateyournetwork/netclaw --skill claroty-asset-inventorygit clone --depth 1 https://github.com/automateyournetwork/netclawWrote 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/automateyournetwork/netclaw/claroty-asset-inventory)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/claroty-asset-inventory"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/claroty-asset-inventory/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/automateyournetwork/netclaw/claroty-asset-inventory"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/claroty-asset-inventory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.01213 |
| Opus 5 | $0.00029 | $0.00607 |
| Sonnet 5 | $0.00012 | $0.00243 |
| Haiku 4.5 | $0.00006 | $0.00121 |
Grade A, and why
claroty-asset-inventory 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 11d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claroty Asset Inventory
OT / IoT / IoMT asset discovery, Purdue Model classification, and source-of-truth reconciliation, using the Claroty xDome MCP server.
When to Use
- Building an OT asset inventory for a site, plant, or facility
- Filtering devices by Purdue level (0 — process; 1 — control; 2 — supervisory; 3 — operations; 3.5 — DMZ; 4/5 — enterprise)
- Identifying devices by purpose (PLC, HMI, RTU, engineering workstation, historian, IP camera, medical device)
- Assigning a Purdue layer to a newly discovered device (ITSM-gated write)
- Recording an out-of-band classification or compliance tag via custom attributes (ITSM-gated write)
- Cross-referencing xDome's discovered inventory against Nautobot or NetBox source-of-truth and surfacing drift
MCP Server
- Server:
claroty-mcp(in-repo,mcp-servers/claroty-mcp/claroty_mcp_server.py) - Command:
python3 -u mcp-servers/claroty-mcp/claroty_mcp_server.py(stdio transport) - Auth: Bearer token via
CLAROTY_API_TOKEN - ITSM: Write operations require a ServiceNow CR (
CHG\d+); bypassed inNETCLAW_LAB_MODE=true
Available Tools
| Tool | Parameters | What It Does |
|---|---|---|
list_devices |
site_id?, purdue_level?, device_purpose?, name_contains?, limit?, offset?, max_items? |
List xDome-managed devices with rich filters |
get_device_details |
device_id |
Full record for a single device including raw attributes |
set_device_purdue_level |
device_id, purdue_level, cr_number |
Write (ITSM-gated) — assign Purdue layer |
set_device_custom_attribute |
device_id, attribute_key, attribute_value, cr_number |
Write (ITSM-gated) — set a custom attribute |
For cross-referencing, also reach for:
nautobot_get_ip_address/nautobot_get_prefixfrom the nautobot-sot skillnetbox-reconcilefrom the NetBox skills
Workflow Examples
Inventory by site and Purdue layer
"List the first 50 devices at site warehouse-east at Purdue level 1, showing names, vendors, and risk scores"
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.
- 11d ago First seen · 107 lines · 58 tokens per session scan A 2e6ece97a338
claroty-asset-inventory is a skill published in the GitHub repository automateyournetwork/netclaw (655 stars, last pushed 5d ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,213 once invoked, about $0.0003 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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