A technical auditing framework for AI agents to score and optimize the perceived value of any product or service offer using a structured four-driver rubric.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bookforge-value-equation-offer-audit
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 bookforge-value-equation-offer-audit 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 Value Equation Offer Audit?
The Value Equation Offer Audit is a specialized diagnostic skill designed for AI agents to evaluate the market viability and pricing power of a given offer. By applying the four-driver perceived value formula—Dream Outcome, Perceived Likelihood of Achievement, Time Delay, and Effort & Sacrifice—the skill provides a binary scoring system to identify why an offer might be underperforming. This tool is a vital component of the Openclaw Skills ecosystem for developers and marketers who need to transform technical features into high-value market propositions.
This skill focuses on the psychological and logical levers that determine a customer's willingness to pay. It analyzes existing documentation, such as sales pages and pitch decks, to determine if the value is being communicated effectively or if the delivery model itself requires structural changes. By using this within the Openclaw Skills framework, agents can provide data-backed recommendations for raising prices, reducing churn, and outcompeting alternatives without resorting to price wars.
Value Equation Offer Audit Use Cases
- Diagnosing conversion bottlenecks where high-quality products face frequent price objections.
- Justifying a move to premium pricing by identifying which value drivers need to be strengthened.
- Benchmarking SaaS or service offers against competitors to find the perceived value gap.
- Designing new productized services from scratch to ensure all four value drivers are maximized before launch.
- Reviewing existing sales copy for Openclaw Skills to ensure every driver is clearly articulated to the target audience.
How Value Equation Offer Audit Works
- The agent extracts the offer core, identifying the dream outcome, customer segment, delivery method, and price.
- Each of the four value drivers is analyzed and assigned a binary score (0 or 1) based on a strict technical rubric.
- Driver 1 (Dream Outcome) is evaluated for emotional resonance and status-driven results.
- Driver 2 (Perceived Likelihood) is checked for social proof, guarantees, and methodology clarity.
- Driver 3 (Time Delay) is measured to find the gap between purchase and the first meaningful win.
- Driver 4 (Effort & Sacrifice) is audited to list every friction point the customer must endure.
- The agent identifies specific improvement actions for every driver that received a zero score.
Value Equation Offer Audit Setup
To integrate this audit capability into your AI workflow, ensure your agent has access to the standard toolset. This skill is part of the Openclaw Skills library and requires the following environment configuration:
# Required tools: Read, Write, TodoWrite
# Optional tools: Grep (for deep document analysis)
# Execution Tier: 1
# Mode: Hybrid (Works with documents or verbal descriptions)
Ensure that the offer documentation (sales pages, pitch decks) is available in the agent's context window for the most accurate analysis.
Value Equation Offer Audit Data Schema & Taxonomy
The skill organizes its audit results into a structured summary that enables programmatic follow-up tasks. The metadata taxonomy includes:
| Attribute | Description |
|---|---|
| Offer Summary | A synthesized paragraph defining the promise, delivery, and pricing context. |
| Driver Matrix | A 4x3 table containing scores, status (Strong/Needs Work), and findings for each driver. |
| Overall Verdict | A 1/4 to 4/4 score determining the offer's current market strength. |
| Priority Actions | A list of concrete tasks categorized by estimated effort (Low/Medium/High). |
| Delivery Model | An assessment of DFY, DWY, or DIY alignment with the target price point. |
Value Equation Offer Audit Advanced Features
- Multi-agent handoff support for specialized follow-up tasks like guarantee design or premium pricing strategy.
- Binary scoring logic to eliminate 'partial credit' bias and force honest offer diagnostics.
- Built-in 'Fast Beats Free' principle analysis for competing in markets with zero-cost alternatives.
- Automatic identification of the 'Beginner Marketer Trap' by prioritizing the reduction of Time Delay and Effort.
- Integration with TodoWrite to maintain state across complex offer redesign workflows within Openclaw Skills.
SKILL.md
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