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Install in OpenClaw
/install market-thesis-challenger
Description
Adversarial review skill for challenging an existing market thesis, morning brief, close review, regime call, or positioning note. Use when the user asks to...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install market-thesis-challenger - After installation, invoke the skill by name or use
/market-thesis-challenger - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Market Thesis Challenger?
Adversarial review skill for challenging an existing market thesis, morning brief, close review, regime call, or positioning note. Use when the user asks to... It is an AI Agent Skill for Claude Code / OpenClaw, with 142 downloads so far.
How do I install Market Thesis Challenger?
Run "/install market-thesis-challenger" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Market Thesis Challenger free?
Yes, Market Thesis Challenger is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Market Thesis Challenger support?
Market Thesis Challenger is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Market Thesis Challenger?
It is built and maintained by luckycatL (@luckycatl); the current version is v1.0.0.
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