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在 OpenClaw 中安装
/install afrexai-tokenomics
功能描述
Analyze token types and score tokenomics health to guide acceptance, holding, launching, or rejecting tokens with risk and cost insights.
使用说明 (SKILL.md)
Token Economics Analyzer
Evaluate token and digital asset economics for business decisions. Covers utility tokens, governance tokens, loyalty points, and tokenized assets.
When to Use
- Evaluating a token-based product or partnership
- Designing tokenomics for a new product launch
- Assessing token treasury risk exposure
- Due diligence on token-incentivized vendor platforms
Framework
1. Token Classification (5 Types)
| Type | Examples | Key Risk | Business Use |
|---|---|---|---|
| Utility | API credits, compute tokens | Demand volatility | Pay-per-use vendor pricing |
| Governance | DAO votes, protocol tokens | Concentration risk | Vendor influence, roadmap control |
| Payment | Stablecoins, settlement tokens | Regulatory, counterparty | Cross-border payments, payroll |
| Security | Revenue-share tokens, equity tokens | Securities law compliance | Fundraising, employee comp |
| Loyalty/Reward | Points, cashback tokens | Liability accounting | Customer retention, engagement |
2. Tokenomics Health Score (0-100)
Score each dimension 0-20:
Supply Mechanics (0-20)
- Fixed vs inflationary supply
- Emission schedule and vesting
- Burn mechanisms
- Current circulating vs total supply ratio
Demand Drivers (0-20)
- Real utility (not just speculation)
- Number of active use cases
- Revenue correlation
- Network effect strength
Distribution (0-20)
- Team/insider allocation (red flag if >30%)
- Vesting schedules for large holders
- Concentration (top 10 wallets %)
- Public vs private sale ratio
Governance (0-20)
- Voting mechanism fairness
- Proposal threshold accessibility
- Treasury management transparency
- Fork/exit rights
Regulatory Posture (0-20)
- Howey test assessment
- Jurisdiction clarity
- KYC/AML compliance
- Tax treatment documentation
Scoring:
- 80-100: Strong fundamentals, proceed with confidence
- 60-79: Acceptable with risk mitigation
- 40-59: Significant concerns, negotiate protections
- Below 40: Walk away or demand restructuring
3. Business Decision Matrix
Should We Accept This Token as Payment?
- Daily volume > 10x your expected monthly receipts? Yes
- Listed on 3+ regulated exchanges? Yes
- Stablecoin or pegged? Lower risk
- Score above 60? Proceed with hedging strategy
Should We Hold Token Treasury?
- Never hold >5% of company liquid assets in any single token
- Convert to stablecoin or fiat within 48 hours unless strategic hold
- Set automatic rebalancing triggers at +/-15%
Should We Launch a Token?
- Do you have real utility that requires a token? (Not just fundraising)
- Can you sustain demand without speculation?
- Legal budget of $50K-$200K for compliance?
- If all three = no, use traditional pricing instead
4. Vendor Token Lock-In Assessment
When a vendor uses token-based pricing:
- Calculate true USD cost per unit over 12 months
- Compare to non-token alternatives
- Assess token price volatility impact on budget
- Check if vendor holds majority supply (price manipulation risk)
- Review token unlock schedule for supply shock risk
5. Red Flags (Immediate Walk-Away)
- Team allocation >40% with \x3C2 year vesting
- No audit of smart contracts
- Anonymous team with no legal entity
- Token required but adds no functional value
- Circular tokenomics (token rewards for holding token)
- No clear revenue model beyond token sales
- Jurisdiction shopping to avoid regulation
6. Cost Framework
| Action | Small Business | Mid-Market | Enterprise |
|---|---|---|---|
| Token evaluation (one-time) | $2K-$5K | $5K-$15K | $15K-$50K |
| Tokenomics design | $15K-$40K | $40K-$120K | $120K-$500K |
| Legal compliance (US) | $25K-$75K | $75K-$200K | $200K-$1M+ |
| Smart contract audit | $10K-$30K | $30K-$80K | $80K-$250K |
| Ongoing treasury management | $2K-$8K/mo | $8K-$25K/mo | $25K-$100K/mo |
7. Industry Applications
| Industry | Token Use Case | Risk Level | ROI Potential |
|---|---|---|---|
| Fintech | Payment rails, lending | High (regulatory) | $500K-$5M/yr |
| SaaS | Usage-based compute credits | Medium | $100K-$800K/yr |
| Ecommerce | Loyalty programs, cross-border | Medium | $200K-$1.2M/yr |
| Real Estate | Tokenized fractional ownership | High (securities) | $1M-$10M+ |
| Healthcare | Data marketplace tokens | High (HIPAA + securities) | $300K-$2M/yr |
| Legal | Smart contract automation | Medium | $150K-$600K/yr |
| Manufacturing | Supply chain provenance | Low-Medium | $200K-$900K/yr |
| Construction | Milestone payment tokens | Medium | $100K-$500K/yr |
| Recruitment | Credential verification | Low | $50K-$300K/yr |
| Professional Services | Client billing tokens | Low-Medium | $80K-$400K/yr |
Output Format
Present findings as:
- Token Classification + Health Score (0-100)
- Business Decision (accept/hold/launch/walk away)
- Risk factors with mitigation steps
- Cost estimates for recommended path
- 90-day action plan
Resources
- AI Revenue Leak Calculator — Find where your business is losing money to inefficient processes
- Industry Context Packs — $47 per industry, covers tokenomics within each vertical
- Agent Setup Wizard — Deploy your own analysis agent in 5 minutes
安全使用建议
This skill appears to be a coherent instruction-only advisory tool. Before installing: (1) verify the publisher/source if you want vendor accountability (the homepage is absent), (2) treat cost/legal figures as advisory — consult qualified counsel for binding legal or tax advice, (3) do not grant any trading keys or automation privileges to the agent just because the skill recommends hedging/rebalancing, and (4) exercise caution with the external links and paid 'context packs' (verify URLs and that you trust the vendor before following payment links). If you need higher assurance, ask the publisher for provenance (who authored it, references, or examples of prior analyses) or request a signed source/homepage.
功能分析
Type: OpenClaw Skill
Name: afrexai-tokenomics
Version: 1.0.0
The skill bundle provides a detailed framework for an AI agent to analyze token economics. The `SKILL.md` and `README.md` files contain instructions for the agent on how to perform the analysis and structure its output. There are no instructions for the agent to perform any unauthorized actions, such as accessing sensitive files, executing arbitrary commands, or making network requests beyond its stated purpose. The external links provided in the 'Resources' and 'More from AfrexAI' sections are presented as informational resources for the user, not as commands for the agent to execute or interact with maliciously. No evidence of prompt injection with harmful intent, data exfiltration, or malicious execution was found.
能力评估
Purpose & Capability
Name and description match the SKILL.md content: classification, scoring rubric, business decision matrix, red flags, and cost estimates. No unrelated binaries, env vars, or config paths are requested.
Instruction Scope
Runtime instructions are prescriptive about how to evaluate tokenomics and what outputs to produce. They do not instruct the agent to read system files, access environment variables, or exfiltrate data. No vague 'gather whatever context you need' language that would grant broad access.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is downloaded or written to disk by the skill itself.
Credentials
The skill requires no credentials or environment variables. All guidance and thresholds are internal to the scoring framework and well-aligned with the stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent system-level presence or modifications to other skills. It does not request elevated privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install afrexai-tokenomics - 安装完成后，直接呼叫该 Skill 的名称或使用
/afrexai-tokenomics触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Token Economics Analyzer 1.0.0 — Initial Release
- Launches a structured framework for analyzing business tokenomics (utility, governance, payment, security, loyalty/reward).
- Introduces a 100-point Tokenomics Health Score across supply, demand, distribution, governance, and regulatory dimensions.
- Provides decision matrices for accepting, holding, or launching tokens, with clear risk mitigation steps.
- Includes red flag checklist for immediate walk-away situations.
- Offers detailed cost guidelines and sample industry use cases for ROI and risk assessment.
- Delivers actionable output templates and quick-start resource links.
元数据
常见问题
Token Economics Analyzer 是什么？
Analyze token types and score tokenomics health to guide acceptance, holding, launching, or rejecting tokens with risk and cost insights. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 491 次。
如何安装 Token Economics Analyzer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install afrexai-tokenomics」即可一键安装，无需额外配置。
Token Economics Analyzer 是免费的吗？
是的，Token Economics Analyzer 完全免费（开源免费），可自由下载、安装和使用。
Token Economics Analyzer 支持哪些平台？
Token Economics Analyzer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Token Economics Analyzer？
由 1kalin（@1kalin）开发并维护，当前版本 v1.0.0。
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