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Install in OpenClaw
/install robotaxi-tracker
Description
Use this skill when the user asks for the latest or current US autonomous vehicle, self-driving car, robotaxi, Tesla, or Waymo vehicle counts, fleet size, ci...
Usage Guidance
This skill is coherent with its stated purpose: it downloads robotaxitracker.com HTML/JS into /tmp, scans the bundles for API endpoints, and issues HTTP queries to the public Convex backend(s) found there using curl/jq/rg. It does not ask for credentials. Before installing, consider: (1) the skill will make outbound HTTP requests to robotaxitracker.com and any backend host discovered in the site JS (your network/firewall policies may want to block or log this); (2) it writes temporary files to /tmp (no persistent installs); and (3) if you are in a restricted environment, verify that executing these network probes is allowed. If any of those are concerns, review the SKILL.md and run the commands manually in a controlled environment instead of enabling autonomous invocation.
Capability Analysis
Type: OpenClaw Skill
Name: robotaxi-tracker
Version: 1.0.0
The robotaxi-tracker skill is a specialized scraper designed to extract autonomous vehicle fleet data from robotaxitracker.com. It uses standard tools (curl, rg, jq) to identify and query Convex backend endpoints (e.g., graceful-eel-151.convex.cloud) discovered within the site's JavaScript bundles. The workflow is transparent, focused on its stated purpose, and contains no indicators of malicious intent, data exfiltration, or unauthorized system access.
Capability Assessment
Purpose & Capability
Name and description match the instructions: the SKILL.md describes fetching the site, downloading frontend JS bundles, discovering public Convex backend hosts in those bundles, and querying those public APIs to extract counts. The declared requirements (curl, rg, jq) are proportional and necessary for that workflow.
Instruction Scope
Instructions are explicit and scoped to fetching robotaxitracker.com HTML/JS, scanning those bundles for API/Convex hosts, and probing discovered hosts with specific JSON queries. This stays within the stated purpose, but it will actively contact any hosts referenced in the downloaded JS (e.g., convex.cloud hosts discovered in bundles), which may be non-obvious to some users or organization network policies.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing is written to system install locations; temporary files are written under /tmp as part of the workflow.
Credentials
The skill requests no environment variables, no credentials, and no config paths. All required tools are appropriate for the tasks described; there is no request for unrelated secrets or elevated credentials.
Persistence & Privilege
always is false and there is no installation or self-modifying behavior. The skill does not request persistent system privileges or modify other skills' configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install robotaxi-tracker - After installation, invoke the skill by name or use
/robotaxi-tracker - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial publish from local managed skill
Metadata
Frequently Asked Questions
What is Robotaxi Tracker?
Use this skill when the user asks for the latest or current US autonomous vehicle, self-driving car, robotaxi, Tesla, or Waymo vehicle counts, fleet size, ci... It is an AI Agent Skill for Claude Code / OpenClaw, with 95 downloads so far.
How do I install Robotaxi Tracker?
Run "/install robotaxi-tracker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Robotaxi Tracker free?
Yes, Robotaxi Tracker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Robotaxi Tracker support?
Robotaxi Tracker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Robotaxi Tracker?
It is built and maintained by 阿赖 (@pekky); the current version is v1.0.0.
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