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在 OpenClaw 中安装
/install startup-risk-radar
功能描述
Evaluate startup ideas, business models, and product strategies against the 7 deadly failure antipatterns extracted from 1,749 dead startups that burned $535...
安全使用建议
This skill appears internally consistent and low-risk, but consider the following before installing: 1) provenance — the skill claims a dataset (loot-drop.io) but has no homepage or verifiable source; verify the underlying data or citations if you rely on the assessments. 2) accuracy scope — the tool is advisory (product/market/legal/financial implications may require domain experts); do not treat outputs as legal or financial advice. 3) data handling — avoid pasting sensitive or proprietary customer data into prompts when testing. 4) test with non-sensitive sample ideas to verify output style and validity before using on real projects. If you need higher assurance, ask the publisher for a source/replication of the 1,749-case dataset or a homepage/references for the dataset.
功能分析
Type: OpenClaw Skill
Name: startup-risk-radar
Version: 1.0.0
The startup-risk-radar skill is a purely informational framework designed to help an AI agent analyze business models against historical failure patterns. The bundle consists of structured markdown instructions (SKILL.md) and reference documents (antipatterns.md, chain-reactions.md) that provide diagnostic criteria and red flags. There is no executable code, no network activity, and no evidence of malicious prompt injection or data exfiltration attempts.
能力评估
Purpose & Capability
The name/description (startup risk assessment) aligns with the provided SKILL.md and reference documents. There are no unexpected environment variables, binaries, or config paths required that would be inconsistent with the stated purpose.
Instruction Scope
Runtime instructions are self-contained: read the included reference files, score the seven antipatterns, produce a structured report. The instructions do not direct the agent to read unrelated system files, exfiltrate data, call external endpoints, or access secrets.
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing is downloaded or written to disk by an installer, which is the lowest-risk installation model.
Credentials
The skill declares no required environment variables, credentials, or config paths. The assessment questions and outputs don't rely on any external secrets, so requested access is proportionate.
Persistence & Privilege
always is false and the skill is user-invocable (normal). It does not request persistent system-level privileges or modify other skills' configuration.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install startup-risk-radar - 安装完成后，直接呼叫该 Skill 的名称或使用
/startup-risk-radar触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Startup Risk Radar 1.0.0 — Initial Release
- Launch of a risk evaluation framework based on data from 1,749 failed startups and $535B lost.
- Provides structured assessments using the "7 deadly failure antipatterns" including market need, competition, founder conflict, tech risk, regulatory issues, and unit economics.
- Includes a standardized 7-question assessment and red flag identification.
- Outputs actionable recommendations and identifies likely failure cascades.
- Designed for evaluating startup ideas, business models, product strategies, unit economics, and competitive positioning.
元数据
常见问题
startup-risk-radar 是什么？
Evaluate startup ideas, business models, and product strategies against the 7 deadly failure antipatterns extracted from 1,749 dead startups that burned $535... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 222 次。
如何安装 startup-risk-radar？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install startup-risk-radar」即可一键安装，无需额外配置。
startup-risk-radar 是免费的吗？
是的，startup-risk-radar 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
startup-risk-radar 支持哪些平台？
startup-risk-radar 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 startup-risk-radar？
由 Conn Ho（@conn-ho）开发并维护，当前版本 v1.0.0。
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