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 pyats-linux-systemgit 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/pyats-linux-system)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/pyats-linux-system"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/pyats-linux-system/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/pyats-linux-system"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/pyats-linux-system.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 | $0.00052 | $0.01962 |
| Opus 5 | $0.00026 | $0.00981 |
| Sonnet 5 | $0.00010 | $0.00392 |
| Haiku 4.5 | $0.00005 | $0.00196 |
Grade A, and why
pyats-linux-system scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
#### Check curl Version and Capabilities How it starts
The opening of the file, as written. The whole thing — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Linux Host System Operations
Testbed Requirements
Linux hosts must be defined in the pyATS testbed with os: linux:
devices:
linux-host-01:
os: linux
type: linux
connections:
cli:
protocol: ssh
ip: 10.0.0.50
port: 22
credentials:
default:
username: "%ENV{NETCLAW_USERNAME}"
password: "%ENV{NETCLAW_PASSWORD}"
How to Call
All commands use pyats_run_linux_command:
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"<command>"}'
Commands
Process Monitoring
List All Running Processes
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"ps -ef"}'
Returns full process listing: UID, PID, PPID, CPU time, start time, command. Use for capacity planning, runaway process detection, and baseline comparison.
Search for Specific Processes
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"ps -ef | grep nginx"}'
Filter processes by name. Common targets:
ps -ef | grep python— Python services (MCP servers, automation agents)ps -ef | grep docker— Docker daemon and containersps -ef | grep ssh— SSH connectionsps -ef | grep java— Java applications (Kafka, Elasticsearch)ps -ef | grep node— Node.js services (MCP servers)
Docker Container Operations
Container Resource Usage
PYATS_TESTBED_PATH=$PYATS_TESTBED_PATH python3 $MCP_CALL "${PYATS_PYTHON:-python3} -u $PYATS_MCP_SCRIPT" pyats_run_linux_command '{"device_name":"linux-host-01","command":"docker stats --no-stream"}'
Returns point-in-time container stats: CPU %, memory usage/limit, network I/O, block I/O, PIDs. The --no-stream flag captures a single snapshot (no continuous output).
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 · 198 lines · 52 tokens per session scan A 6cdb01e0c7de
pyats-linux-system is a skill published in the GitHub repository automateyournetwork/netclaw (657 stars, last pushed 6d ago), licensed Apache-2.0. It adds 52 tokens to every session and 1,962 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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