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在 OpenClaw 中安装
/install market-thesis-challenger
功能描述
Adversarial review skill for challenging an existing market thesis, morning brief, close review, regime call, or positioning note. Use when the user asks to...
安全使用建议
This skill appears internally consistent and low-risk: it only provides a constrained template for challenging a market thesis and asks for no credentials or install. Before enabling it, confirm (1) that your agent or environment doesn't automatically fetch or transmit the user's confidential thesis to external services, (2) whether the agent has access to live market data feeds (so you know what sources the skill may draw on when invoked), and (3) any company rules about automated analysis or logging of proprietary investment theses. If you use it in workflows that post results externally, review those integrations separately to ensure they meet your confidentiality requirements.
功能分析
Type: OpenClaw Skill
Name: market-thesis-challenger
Version: 1.0.0
The skill bundle consists solely of metadata and a Markdown instruction file (SKILL.md) designed to guide an AI agent in performing adversarial market analysis. There is no executable code, no network activity, and no instructions that suggest data exfiltration, persistence, or unauthorized access.
能力评估
Purpose & Capability
Name/description match the SKILL.md: the skill's only job is to attack an existing thesis. There are no unrelated env vars, binaries, or install steps that would be disproportionate to this purpose.
Instruction Scope
Runtime instructions are focused and prescriptive (explicit output structure, limits on analogs/items). They do not instruct reading files, environment variables, or sending data to external endpoints.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes disk writes and external code execution risk.
Credentials
Requires no credentials, config paths, or environment variables. Requested capabilities are proportionate to a purely analytic, text-based skill.
Persistence & Privilege
always is false and the skill does not request elevated persistence. The default ability for the agent to invoke skills autonomously is normal and not, on its own, a concern here.
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 market-thesis-challenger - 安装完成后，直接呼叫该 Skill 的名称或使用
/market-thesis-challenger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
Initial release: adversarial review skill for attacking an existing market thesis, surfacing blind spots, historical analogs, and the fastest falsification signals without forcing fake anti-consensus views.
元数据
常见问题
Market Thesis Challenger 是什么？
Adversarial review skill for challenging an existing market thesis, morning brief, close review, regime call, or positioning note. Use when the user asks to... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 142 次。
如何安装 Market Thesis Challenger？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install market-thesis-challenger」即可一键安装，无需额外配置。
Market Thesis Challenger 是免费的吗？
是的，Market Thesis Challenger 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Market Thesis Challenger 支持哪些平台？
Market Thesis Challenger 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 Market Thesis Challenger？
由 luckycatL（@luckycatl）开发并维护，当前版本 v1.0.0。
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