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moat-finder
by
raphaelxiao
· GitHub ↗
· v1.0.0
· MIT-0
271
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install moat-finder
Description
Act as a strategic consultant to analyze companies and identify competitive moats using Xiao Jing（肖璟）'s "5 Factors + 4 Relations" framework in his book How t...
Usage Guidance
This skill appears coherent and low-risk: it is an instruction-only interview template that uses two local reference documents and asks the agent to probe a company's moats according to a strict framework. Before installing, consider: (1) fix the filename mismatch in SKILL.md so the agent can reliably find the reference files (change the SKILL.md references to references/01_factors.md and references/02_relations.md or rename the files); (2) decide whether you want the agent to perform external web research — if the agent has browsing/network access it may fetch public company data; restrict that if you prefer local-only operation; (3) test the skill on a non-sensitive public company first to confirm the agent follows the strict category rules and the 2-questions-per-turn limit. No secrets or system access are requested by this skill.
Capability Analysis
Type: OpenClaw Skill
Name: moat-finder
Version: 1.0.0
The 'moat-finder' skill is a strategic analysis tool designed to evaluate corporate defensibility using a specific business framework. The bundle consists entirely of Markdown instructions and reference guides (SKILL.md, references/01_factors.md, references/02_relations.md) with no executable code, network activity, or data exfiltration logic. While there is a minor inconsistency where the instructions reference file names with a '_detailed' suffix not present in the actual filenames, the content is purely analytical and poses no security risk.
Capability Assessment
Purpose & Capability
Skill name, description, and included reference files align: the skill is a consultant-style interviewer that evaluates competitive moats using the specified 5-factors + 4-relations framework. It does not request unrelated binaries, credentials, or config paths.
Instruction Scope
SKILL.md limits the agent to category-pure questioning and a 5-step workflow that only references the bundled reference files and asking follow-up questions. Two issues to note: (1) SKILL.md refers to files named references/01_factors_detailed.md and references/02_relations_detailed.md, but the package contains references/01_factors.md and references/02_relations.md — a filename mismatch that may confuse an agent expecting the exact names; (2) the workflow says it will 'research first' for public companies but does not specify where to fetch external data, which means an agent with web/browsing access could attempt external lookups (this is expected for a research task but is not made explicit). No instructions attempt to read unrelated system files or exfiltrate secrets.
Install Mechanism
Instruction-only skill with no install spec and no code files to execute or download. Nothing will be written to disk by an installer.
Credentials
The skill requests no environment variables, credentials, or special config paths — appropriate and minimal for its stated purpose.
Persistence & Privilege
always is false and the skill does not request permanent presence or modification of other skills or system-wide settings. Normal autonomous invocation is allowed by platform default but is not unusually privileged here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install moat-finder - After installation, invoke the skill by name or use
/moat-finder - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of moat-finder skill for strategic analysis:
- Provides company moat analysis using Xiao Jing’s "5 Factors + 4 Relations" framework.
- Strictly enforces category boundaries to avoid cross-category confusion.
- Guides users step-by-step through factor and relation monopoly analysis.
- Includes detailed definitions for each of the 9 factors and relations.
- Ensures clarity between causes (actual moats) and results (business outcomes).
Metadata
Frequently Asked Questions
What is moat-finder?
Act as a strategic consultant to analyze companies and identify competitive moats using Xiao Jing（肖璟）'s "5 Factors + 4 Relations" framework in his book How t... It is an AI Agent Skill for Claude Code / OpenClaw, with 271 downloads so far.
How do I install moat-finder?
Run "/install moat-finder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is moat-finder free?
Yes, moat-finder is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does moat-finder support?
moat-finder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created moat-finder?
It is built and maintained by raphaelxiao (@raphaelxiao); the current version is v1.0.0.
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