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hanxueyuan

Mars Candy

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
74
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install mars-candy
Description
Mars Candy is part of Mars, Inc., offering iconic candy brands like M&M's and Snickers, known for private ownership and long-term strategic focus.
Usage Guidance
This skill is informational and appears safe to install: it doesn't request credentials or install software. Two practical cautions: (1) the source/homepage are unknown — the content may not be authoritative or up-to-date, so don't rely on it for critical decisions without independent verification; (2) although the skill itself is harmless, the agent platform allows autonomous invocation by default — if you prefer to review outputs before the agent calls skills, disable autonomous invocation in your agent settings.
Capability Analysis
Type: OpenClaw Skill Name: mars-candy Version: 1.0.0 The skill bundle is purely informational, providing a historical and strategic overview of Mars, Incorporated. It contains no executable code, network requests, or manipulative instructions (prompt injection) directed at the AI agent. All content in SKILL.md is descriptive and aligned with the stated purpose of analyzing corporate strategy.
Capability Assessment
Purpose & Capability
Name/description match the SKILL.md content: the document is an informational/company-analysis piece about Mars, Inc. There are no unrelated requirements (no env vars, binaries, or config paths) that would be disproportionate for an informational skill.
Instruction Scope
SKILL.md contains static text (history, business analysis, metrics) and does not instruct the agent to read local files, access environment variables, call external endpoints, or perform system operations. There is no scope creep in the runtime instructions.
Install Mechanism
No install spec and no code files (instruction-only). Nothing will be downloaded or written to disk by the skill itself, so install risk is minimal.
Credentials
The skill requires no environment variables, credentials, or config paths. No sensitive access is requested; request surface is proportionate to an informational skill.
Persistence & Privilege
Flags are default: always=false and user-invocable=true. The skill can be invoked autonomously by the agent (disable-model-invocation=false), which is the platform default and not, by itself, a security concern for this low-risk skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mars-candy
  3. After installation, invoke the skill by name or use /mars-candy
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the skill covering Mars, Incorporated's history, business strategy, and company structure. - Provides a comprehensive timeline highlighting key candy and pet care milestones. - Details Mars’ five major business segments and their revenue breakdowns. - Analyzes long-term strategy advantages of being a 100% family-owned private company. - Lists fun facts about M&M’s military origins and Mars’ dominance in the veterinary industry.
Metadata
Slug mars-candy
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Mars Candy?

Mars Candy is part of Mars, Inc., offering iconic candy brands like M&M's and Snickers, known for private ownership and long-term strategic focus. It is an AI Agent Skill for Claude Code / OpenClaw, with 74 downloads so far.

How do I install Mars Candy?

Run "/install mars-candy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Mars Candy free?

Yes, Mars Candy is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Mars Candy support?

Mars Candy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Mars Candy?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

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