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1715
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3
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Install in OpenClaw
/install pattern-finder
Description
Discover what two sources agree on — find the signal in the noise.
Usage Guidance
This skill appears coherent and low-risk, but consider: (1) It expects either raw texts or outputs from extractor skills — confirm those extractor tools are available and trustworthy. (2) The skill uses your agent's configured model: if your agent sends data to a cloud LLM, do not submit sensitive or confidential content unless you accept that exposure. (3) The skill finds agreement between sources (N=2 means 'validated' per its rubric) but agreement is not proof of truth — independently verify any high-stakes conclusions. (4) If you plan to chain this with automated workflows, test on non-sensitive examples first to ensure the extractor → comparator handoff works as you expect.
Capability Analysis
Type: OpenClaw Skill
Name: pattern-finder
Version: 1.0.2
The 'pattern-finder' skill is a set of instructions for an AI agent to perform text comparison and pattern recognition between two sources. The logic is entirely contained within the SKILL.md file and focuses on identifying shared principles (N=2 validation) without external API calls, file system access, or data exfiltration. No malicious commands, obfuscation, or prompt-injection attacks were identified.
Capability Assessment
Purpose & Capability
The skill's name/description match what the SKILL.md instructs (compare two sources and surface shared principles). One minor mismatch: the documentation expects inputs from other extractor skills ('essence-distiller' / 'pbe-extractor') but the skill metadata does not declare those as explicit dependencies — this is an interoperability note rather than a security problem.
Instruction Scope
The SKILL.md confines runtime behavior to reading two supplied sources (or their extractions), extracting principles, matching them, and returning a structured comparison. It explicitly says it does not write files and does not call third‑party services itself; it will, however, rely on whatever LLM (local or cloud) the agent is configured to use. The instructions do not ask the agent to read unrelated files, environment variables, or credentials.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes disk/runtime install risk.
Credentials
The skill requires no environment variables, credentials, or config paths. Its declared input needs (two texts or two extractions) are proportionate to the stated purpose.
Persistence & Privilege
always is false and the skill does not request elevated persistence. Autonomous invocation is allowed by default but is not combined with other concerning privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pattern-finder - After installation, invoke the skill by name or use
/pattern-finder - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.2
**Pattern Finder 1.0.2 Changelog**
- Updated SKILL.md to clarify no third-party APIs are called and data is analyzed strictly within your agent's configured trust boundary.
- Added an explicit description of data handling and privacy, noting that this skill does not write files to disk.
- Updated project homepage and tags for better discoverability.
- No changes to core functionality; output format and usage remain the same.
v1.0.1
Migrated to public GitHub repo, updated homepage URLs
v1.0.0
Pattern Finder 1.0.0 initial release:
- New skill for discovering shared patterns between two sources.
- Identifies principles that appear in both sources, signaling N=2 validation.
- Clearly separates shared, unique, and divergent principles.
- Streamlined output format for easy interpretation and sharing.
- Provides guidance on input requirements and when to use the skill.
- Includes error messages and explains divergence analysis types.
Metadata
Frequently Asked Questions
What is Pattern Finder?
Discover what two sources agree on — find the signal in the noise. It is an AI Agent Skill for Claude Code / OpenClaw, with 1715 downloads so far.
How do I install Pattern Finder?
Run "/install pattern-finder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pattern Finder free?
Yes, Pattern Finder is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pattern Finder support?
Pattern Finder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pattern Finder?
It is built and maintained by Lee Brown (@leegitw); the current version is v1.0.2.
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