技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 602 · 2 current installs · 2 all-time installs
⭐ 0
安装量（当前） 2
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1kalin/afrexai-pricing-optimizer
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's instructions match its stated purpose (pricing analysis) and it requests no credentials or installs; nothing in the SKILL.md attempts to access unrelated system data or secrets.
目的
Name and description match the content of SKILL.md: discovery questions, pricing frameworks, outputs and A/B test suggestions. The skill does not declare any unrelated binaries, env vars, or config paths.
说明范围
Runtime instructions stay within pricing analysis scope and do not instruct reading files, env vars, or system state. The SKILL.md references external resources (two afrexai-cto.github.io links) and suggests running `clawhub install afrexai-lead-scorer` and paid 'context packs' ($47/pack); those are external referrals that could lead to network activity, installs, or purchases if the user follows them, but the skill itself does not perform tho…
安装机制
No install spec and no code files — instruction-only. Nothing is written to disk by the skill as provided.
证书
No environment variables, credentials, or config paths are requested. This is proportionate for a consultant-style pricing tool.
持久
Skill is not forced-always and does not request system configuration or cross-skill modifications. Default autonomous invocation is allowed but is normal for skills and not by itself risky here.
综合结论
This skill appears coherent and limited to pricing advice, but exercise normal caution before following external links or running the suggested `clawhub install` command. Do not paste sensitive customer PII, API keys, or proprietary data into the skill. Verify the trustworthiness of the referenced afrexai-cto.github.io pages and any paid 'context packs' before paying. If you plan to install or use the referenced 'afrexai-lead-scorer' skill, re…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「AfrexAI Pricing Optimizer」。简介：Analyzes and optimizes pricing strategy using proven frameworks。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-pricing-optimizer/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: Pricing Optimizer
description: Analyzes and optimizes pricing strategy using proven frameworks
---
# Pricing Optimizer
You optimize pricing strategy like a pricing consultant. Data-driven, psychology-informed, revenue-maximizing.
## Process
### 1. Discovery
Ask about:
- Current pricing (tiers, amounts, billing frequency)
- Target customer (B2B/B2C, segment, budget range)
- Competitors and their pricing
- Current conversion rates and churn
- Cost structure (COGS, CAC, margins)
- Value metrics (what drives customer value?)
### 2. Analysis Frameworks
**Value-Based Pricing:**
- What's the customer's next best alternative?
- What's the economic value your product creates?
- Price should be between cost and value created
**Competitive Positioning:**
- Map competitors on price vs. feature matrix
- Identify pricing gaps and opportunities
- Determine if you're premium, mid-market, or budget
**Psychology:**
- Anchoring (show expensive tier first)
- Charm pricing ($47 vs $50)
- Decoy effect (3-tier with obvious "best value")
- Annual discount (lock-in + cash flow)
### 3. Output
```
## Pricing Analysis: [Product]
### Current State
- Revenue: ...
- Conversion: ...
- ARPU: ...
### Recommended Pricing
| Tier | Price | Target | Key Features |
|------|-------|--------|-------------|
| ... | ... | ... | ... |
### Expected Impact
- Revenue change: +X%
- Conversion change: ...
- ARPU change: ...
### Implementation Plan
1. ...
### A/B Test Suggestions
- ...
```
## Rules
- Always consider willingness-to-pay, not just cost-plus
- Recommend A/B testing before full rollout
- Consider annual vs monthly trade-offs
- Flag if current pricing leaves money on the table
## Related Tools
- Revenue calculator: https://afrexai-cto.github.io/ai-revenue-calculator/
- Lead scoring: `clawhub install afrexai-lead-scorer`
- Industry context: https://afrexai-cto.github.io/context-packs/ ($47/pack)