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hanxueyuan

Mammut

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
54
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install mammut
Description
Mammut is a Swiss outdoor brand with 160 years of expertise, specializing in high-end climbing ropes, safety gear, apparel, shoes, and avalanche rescue devices.
README (SKILL.md)

Mammut

历史时间线

  • 1862年 — Kaspar Weber在Dättlikon创立绳索作坊
  • 1930年代 — 开始生产登山绳和攀岩装备
  • 1960年 — 推出第一条登山安全带
  • 1990年代 — 扩展至户外服装和鞋类
  • 2003年 — 推出Barryvox雪崩搜救器
  • 2018年 — 被Conzzeta(现为Partone)收购
  • 2023年 — 品牌名Mammut(猛犸象)成为户外专业性的象征

商业模式

登山绳和安全装备(核心传统优势)、户外服装(冲锋衣、保暖层)、户外鞋类(登山靴、徒步鞋)、雪崩安全设备。产品定位高端专业市场。

护城河分析

160年绳索制造历史(全球最古老的安全装备制造商之一);在登山绳和安全装备领域的技术领先地位;Barryvox雪崩搜救器的行业标准地位;瑞士制造的品牌声誉。

关键数据

成立于1862年(超过160年历史);全球约50个市场有售;产品涵盖绳索、服装、鞋类、安全设备四大品类

有趣事实

  • Mammut最初是一家农用绳索作坊,后来转型为专业登山装备制造商。
  • Barryvox雪崩搜救器是阿尔卑斯山救援队的标准装备。
Usage Guidance
This skill appears coherent and low-risk: it only provides static information about the Mammut brand and asks for no credentials or installs. However, the source and homepage are unknown — if you require provenance or verified content, prefer skills from a known publisher or request a source citation before relying on factual claims. If the skill is later updated to include install steps, require environment variables, or to execute commands, re-evaluate before enabling it for autonomous use.
Capability Analysis
Type: OpenClaw Skill Name: mammut Version: 1.0.0 The skill bundle contains purely informational content regarding the history, business model, and market position of the Swiss outdoor brand Mammut. There are no executable scripts, network requests, or instructions that attempt to manipulate the AI agent or access sensitive system resources in SKILL.md or _meta.json.
Capability Tags
crypto
Capability Assessment
Purpose & Capability
Name/description (brand history, products) match the SKILL.md content. The skill requests no binaries, env vars, or config paths that would be unrelated to providing brand information.
Instruction Scope
SKILL.md contains static brand history, market analysis prompts, and a small read_when metadata list; it does not instruct the agent to run commands, read local files, access external endpoints, or exfiltrate data.
Install Mechanism
No install spec and no code files (instruction-only), so nothing is written to disk or downloaded during installation.
Credentials
The skill declares no required environment variables, credentials, or config paths — proportionate for an informational/marketing-style skill.
Persistence & Privilege
always is false (default) and disable-model-invocation is false (normal). The skill does not request persistent system presence or modification of other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mammut
  3. After installation, invoke the skill by name or use /mammut
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Mammut skill 1.0.0 — 初始发布 - 提供Mammut品牌160年历史时间线与关键里程碑 - 覆盖从绳索制造到全球户外装备扩展的品牌转型 - 展示品牌商业模式与护城河分析 - 总结产品类别、市场定位及有趣品牌事实 - 强调登山安全技术和瑞士制造声誉
Metadata
Slug mammut
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Mammut?

Mammut is a Swiss outdoor brand with 160 years of expertise, specializing in high-end climbing ropes, safety gear, apparel, shoes, and avalanche rescue devices. It is an AI Agent Skill for Claude Code / OpenClaw, with 54 downloads so far.

How do I install Mammut?

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

Is Mammut free?

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

Which platforms does Mammut support?

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

Who created Mammut?

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

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