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Rimac Automobili
by
hanxueyuan
· GitHub ↗
· v1.0.0
· MIT-0
43
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install rimac-automobili
Description
Rimac Automobili, founded in 2009, designs electric hypercars and advanced EV powertrain tech, holding 23 speed records and controlling Bugatti via a joint v...
Usage Guidance
This skill appears low-risk because it is purely informational and requests no credentials, installs, or filesystem access. Before installing, consider whether you trust the unknown source/owner (no homepage or provenance is provided) and whether you need authoritative, up-to-date facts — the content may be correct but unverified. If you require verified data (e.g., for business decisions), cross-check with Rimac's official site or trusted publications. Otherwise, from a security standpoint it is coherent and proportionate.
Capability Analysis
Type: OpenClaw Skill
Name: rimac-automobili
Version: 1.0.0
The skill bundle contains purely informational and educational content regarding the history and business model of Rimac Automobili. There is no executable code, no network activity, and no instructions that could be interpreted as prompt injection or malicious behavior in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The skill is an informational/content skill about Rimac Automobili and does not request binaries, environment variables, or config paths. That is consistent with a read-only knowledge/content skill. One provenance note: the skill lists no homepage or source and the registry owner ID is an opaque identifier, so the origin of the content is unknown (this is a content-quality/provenance issue, not a technical access risk).
Instruction Scope
SKILL.md provides contextual guidance and factual narrative about Rimac; it does not instruct the agent to read local files, access environment variables, call external endpoints, or exfiltrate data. The documented 'read_when' contexts are reasonable and scoped to research/use of the content.
Install Mechanism
No install spec and no code files are present, so nothing will be downloaded or written to disk. This is the lowest-risk install posture.
Credentials
The skill requests no environment variables, credentials, or config paths, which is proportionate for an informational skill.
Persistence & Privilege
Defaults are used (not always:true), and autonomous invocation is allowed (platform default). There is no evidence the skill will modify other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install rimac-automobili - After installation, invoke the skill by name or use
/rimac-automobili - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Rimac Automobili skill.
- Covers the company’s origins, growth, and business model, including hypercar development and technology licensing.
- Summarizes Rimac’s landmark achievements: 23 speed records (Nevera), Bugatti joint venture, Porsche investment.
- Includes key metrics on production, valuation, and technology partnerships.
- Highlights Rimac’s unique founding story and groundbreaking engineering milestones.
Metadata
Frequently Asked Questions
What is Rimac Automobili?
Rimac Automobili, founded in 2009, designs electric hypercars and advanced EV powertrain tech, holding 23 speed records and controlling Bugatti via a joint v... It is an AI Agent Skill for Claude Code / OpenClaw, with 43 downloads so far.
How do I install Rimac Automobili?
Run "/install rimac-automobili" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Rimac Automobili free?
Yes, Rimac Automobili is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Rimac Automobili support?
Rimac Automobili is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Rimac Automobili?
It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.
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