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Install in OpenClaw
/install network-speed-test
Description
Measure network download speed, upload speed, and latency from the command line. Uses Cloudflare speed test endpoints and public DNS for latency measurements...
Usage Guidance
This skill appears coherent and limited to measuring network performance. Before running it, be aware that: (1) it will make outbound network connections to speed.cloudflare.com and perform TCP connects to public DNS IPs (1.1.1.1, 8.8.8.8, 9.9.9.9); (2) default tests transfer ~10 MB down / 5 MB up (you can reduce --size to limit bandwidth); (3) it contains a runnable Python script (no installer) so running it executes active network I/O — review the script if you want to confirm behavior. If you are comfortable with those network targets and data usage, this skill is consistent with its description.
Capability Analysis
Type: OpenClaw Skill
Name: network-speed-test
Version: 1.0.0
The skill is a standard network speed test utility that measures latency, download, and upload speeds using Python's standard library. It interacts with reputable public endpoints (Cloudflare, Google, Quad9) and does not exhibit any malicious behavior, data exfiltration, or suspicious execution patterns. All code in scripts/speed_test.py is well-documented and aligned with the stated purpose in SKILL.md.
Capability Assessment
Purpose & Capability
Name/description (network speed testing) align with the included script: it performs TCP latency probes and download/upload tests to public endpoints (Cloudflare). No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md instructs running the included Python script and only references network tests and JSON output. The runtime instructions do not ask the agent to read local files, environment variables, or transmit data to unexpected endpoints.
Install Mechanism
No install spec (instruction-only), and the SKILL includes a Python script that uses only the standard library. This is low-risk, but note the skill contains executable code that will perform network I/O when run (no installer needed).
Credentials
The skill requires no environment variables or credentials. All network endpoints are public and described in the SKILL.md. No excessive or unrelated secrets are requested.
Persistence & Privilege
Skill does not request persistent/system-wide presence (always:false). It does not modify other skills or system configs. The default ability for autonomous invocation is unchanged and not combined with other red flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install network-speed-test - After installation, invoke the skill by name or use
/network-speed-test - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the network-speed-test skill:
- Measure download speed, upload speed, and latency from the command line in pure Python (no external dependencies).
- Uses Cloudflare endpoints for speed tests and public DNS for latency checks.
- Supports individual or combined tests, adjustable test sizes, and structured JSON output.
- Reports detailed latency stats (avg/min/max/jitter) for multiple DNS hosts.
- No API keys or accounts required.
Metadata
Frequently Asked Questions
What is Network Speed Test?
Measure network download speed, upload speed, and latency from the command line. Uses Cloudflare speed test endpoints and public DNS for latency measurements... It is an AI Agent Skill for Claude Code / OpenClaw, with 198 downloads so far.
How do I install Network Speed Test?
Run "/install network-speed-test" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Network Speed Test free?
Yes, Network Speed Test is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Network Speed Test support?
Network Speed Test is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Network Speed Test?
It is built and maintained by John Wang (@johnnywang2001); the current version is v1.0.0.
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