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 multivendor-fleet-opsgit 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/multivendor-fleet-ops)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/multivendor-fleet-ops"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/multivendor-fleet-ops/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/multivendor-fleet-ops"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/multivendor-fleet-ops.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 | $0.00000 | $0.00659 |
| Opus 5 | $0.00000 | $0.00329 |
| Sonnet 5 | $0.00000 | $0.00132 |
| Haiku 4.5 | $0.00000 | $0.00066 |
Grade A, and why
multivendor-fleet-ops 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 9d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Multivendor Fleet Ops
Ask one question of many devices at once — across mixed vendors — and get per-device answers.
MCP server: multivendor-cli-mcp · Tools: run_fleet, get_facts
run_fleet
target is a group name, a comma-separated device list, or all. Supply exactly one of:
command— raw CLI, only for platforms this server ownsgetters— NAPALM normalized facts, permitted read-only on any platform
run_fleet(target="edge", getters=["get_facts","get_interfaces"])
run_fleet(target="srl1,srl2", command="show version")
Reading results — the invariant that matters
requested always equals returned. Every targeted device appears, including failures. A
silently absent device would read as success, which is the most dangerous possible output for a fleet
query — you'd scan the list and see no problem where there is one.
summary counts by status. One device failing never aborts the others.
Defaults: 10 concurrent workers, 30s per-device timeout, both overridable. Ten rather than Nornir's own 20 because each worker holds an SSH session and devices commonly cap concurrent management sessions at 5–15.
Cross-vendor comparison — the reason this exists
get_facts returns one shape across vendors, which no other NetClaw server can do. pyATS and
junos-mcp each answer well for their own platform, but their shapes differ, so a question spanning
vendors otherwise needs reconciling by hand.
Where a platform has no NAPALM driver — SR Linux, FRR, VyOS, MikroTik — you get a row with
available: false and a gap_reason, not a missing row. That distinction is deliberate: "this
platform cannot tell us" and "there are none" are different answers, and conflating them produces a
wrong one. provenance is never faked as napalm for scraped output.
Verified live: get_facts across IOS-XE and SR Linux returns rows with identical keys — one is data,
one is a reported gap.
Caveat: CLI reach is not full vendor support
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.
- 9d ago First seen · 58 lines · 0 tokens per session scan A 9012e0b6cd3f
multivendor-fleet-ops is a skill published in the GitHub repository automateyournetwork/netclaw (657 stars, last pushed 6d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 659 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 2026-09-03.
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