A high-precision filtering tool designed to evaluate the actual business value of creator benchmarks and one-person business models.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cell-benchmark-filter
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cell-benchmark-filter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Benchmark Filter?
The Benchmark Filter is a technical framework designed for AI agents to help users determine which business benchmarks are truly worth studying. In an era of vanity metrics, this skill identifies the underlying operating signals of creators and OPCs (One Person Corporations), separating repeatable mechanisms from non-copyable traits like talent or luck. By utilizing Openclaw Skills, users can move beyond superficial imitation and focus on the specific layers of a business—such as offer design or conversion paths—that will yield the highest ROI for their own ventures.
This skill acts as a gatekeeper for research workflows, ensuring that deeper case studies are only performed on targets that pass rigorous economic and structural filters. It is particularly optimized for the Chinese creator ecosystem and content-led business contexts, providing a professional approach to competitive analysis and business modeling.
Benchmark Filter Use Cases
- Evaluating whether a specific creator's success is based on a copyable business model or individual charisma.
- Shortlisting high-signal benchmarks for a new one-person business or content strategy.
- Auditing an existing imitation strategy to ensure the user is copying the right structural layers.
- Deciding when to escalate a surface-level observation into a deep-dive research project.
How Benchmark Filter Works
- Target Clarification: The agent identifies the user's specific learning goal, such as content systems, offer ladders, or growth channels.
- The Five-Filter Audit: Each benchmark is processed through filters for economic signal, model legibility, copyable mechanism, stage relevance, and ego-noise control.
- Layer Identification: The skill isolates the specific business layer worth studying while flagging elements that should not be copied.
- Granularity Check: The agent verifies if the intended level of imitation is tactical (mechanism-based) rather than just aesthetic (vibe-based).
- Next Move Recommendation: The workflow concludes with a concrete first step or a hand-off to deeper research tools.
Benchmark Filter Setup
To integrate this capability into your workflow, ensure the relevant reference documents are present in your local repository.
# Standard setup within an Openclaw Skills environment
# Ensure the following files exist in your project structure:
# /references/filter-framework.md
# /references/copy-granularity.md
# /assets/benchmark-card-template.md
Benchmark Filter Data Schema & Taxonomy
The skill generates structured evaluations based on the following taxonomy:
| Attribute | Description |
|---|---|
| Economic Signal | Evidence of a functioning business model vs. mere vanity attention. |
| Model Legibility | How clearly the audience-to-revenue path can be decoded. |
| Copyable Mechanism | Technical processes that can be learned vs. talent or capital advantages. |
| Worth-learning Layers | Categorized list of specific business components recommended for study. |
| First Move | A singular, actionable task to initiate the learning process. |
Benchmark Filter Advanced Features
- Integrated Ego-Noise Control: Prevents users from dismissing valid benchmarks based on personal taste or lack of 'glamour'.
- Strategic Escalation: Logic-based triggers to hand over high-value targets to $opc-case-research for full analysis.
- Mechanism-Surface Separation: Automatically distinguishes between a creator's unique charisma and their repeatable business operations.
- Standardized Output: Generates consistent benchmark cards for easy comparison across multiple study targets.
SKILL.md
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