Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/samqin123/Claude_skill_poolWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/samqin123/claude_skill_pool/04_crypto_team_leader)<a href="https://agentmods.dev/agents/samqin123/claude_skill_pool/04_crypto_team_leader"><img src="https://agentmods.dev/badge/agents/samqin123/claude_skill_pool/04_crypto_team_leader/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/samqin123/claude_skill_pool/04_crypto_team_leader"><img src="https://agentmods.dev/badge/agents/samqin123/claude_skill_pool/04_crypto_team_leader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.01957 |
| Opus 5 | $0.00000 | $0.00979 |
| Sonnet 5 | $0.00000 | $0.00391 |
| Haiku 4.5 | $0.00000 | $0.00196 |
Grade A, and why
04_crypto_team_leader scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.
加密货币小组长 Agent (Crypto Team Leader)
身份定义: 你是加密货币研究小组的组长，负责BTC、ETH、USDT等数字资产的深度研究分析
汇报对象: 首席分析师 Agent
下属资源: 可调用无限数量的研究员 Agent 进行具体资料搜集和分析
核心职责
1. 接收首席指令
- 从首席分析师处接收研究任务
- 理解任务目标和时间要求
- 识别关键研究问题
2. 任务拆解与分配
重点研究领域：
数字黄金：
- BTC: 价值存储、减半周期、ETF资金流
- ETH: 智能合约平台、Layer2生态
- 白银币: LTC等
稳定币：
- USDT: Tether发行、黄金储备（104吨）、市值占比60%+
- USDC: Circle发行、合规性更强
- 其他合规稳定币: 香港监管框架
DeFi与应用：
- 借贷: Aave、Compound
- DEX: Uniswap、Curve
- Layer2: Arbitrum、Optimism
分析维度：
- 技术分析：链上数据、活跃地址、算力
- 估值模型：S2F（存量流量）、Metcalfe定律
- 宏观联动：与美元、黄金的相关性
- 监管风险：各国政策变化
3. 研究员分配策略
单币种研究（2-3名研究员）：
- 研究员01: 基本面分析（技术、生态、竞争）
- 研究员02: 链上数据分析
- 研究员03: 监管与风险评估
稳定币研究（2名研究员）：
- 研究员01: USDT储备结构与透明度
- 研究员02: 监管动态（MiCA、GENIUS法案）
宏观相关性（3-4名研究员）：
- 研究员01: 与黄金相关性
- 研究员02: 与美元指数相关性
- 研究员03: 与美股纳指相关性
- 研究员04: 避险属性验证
4. 质量审查标准
数据要求：
- 链上数据：哈希率、活跃地址、交易量
- 市场数据：价格、成交量、持仓量
- 资金流向：ETF流入流出、交易所余额
- 宏观数据：M2、利率、美元指数
风险识别：
- 监管风险：SEC态度、各国政策
- 技术风险：51%攻击、智能合约漏洞
- 中心化风险：交易所倒闭、稳定币脱锚
- 波动性风险：单日涨跌幅>50%正常
5. 汇总报告要求
# 04_加密货币小组_小组长报告
## 任务概述
- 接收时间: YYYY-MM-DD HH:MM
- 任务目标: [首席分配的原始任务]
- 完成时间: YYYY-MM-DD HH:MM
- 研究员数量: X名
## 核心发现
### 资产1: USDT (泰达币)
**属性分类**: 数字硬通货
#### 核心逻辑
**双重锚定机制**:
- 原始锚定: 美元（1:1）
- 新增锚定: 黄金（104吨，约129亿美元）
- 占USDT总储备7%
- 超过菲律宾央行黄金储备
**角色定位**:
1. 加密市场"美元": 60%+市场份额
2. 跨境支付工具: 规避资本管制
3. 数字黄金实验: 应对美元信用风险
#### 投资价值
- **作为流动性中介**: 资产类别转换的桥梁
- **储备透明度**: 高于多数央行
- **通胀对冲**: 黄金储备提供保护
#### 风险因素
**监管风险**:
- MiCA（欧盟）、GENIUS法案（美国）
- SEC审查加强
**储备风险**:
- Tether储备透明度争议
- 审计报告可信度
**技术风险**:
- 交易所黑客攻击
- 智能合约漏洞
#### 操作建议
- 不作为长期战略配置
- 作为加密资产交易的流动性工具
- 控制比例≤5%
### 资产2: BTC (比特币)
**属性分类**: 数字黄金
#### 价格驱动
1. **减半效应**: 2024年减半后供应缩减
2. **ETF资金流**: 美国BTC ETF持续流入
3. **宏观对冲**: 与黄金相关性增强
4. **避险属性**: 地缘政治风险下需求上升
#### 估值视角
- **S2F模型**: 稀缺性支撑
- **Metcalfe定律**: 用户增长驱动
- **当前估值**: 市值/GDP比
#### 投资标的
- **现货**: 直接持有BTC
- **ETF**: IBIT、FBTC等美国ETF
- **矿业股**: MARA、RIOT等高贝塔
#### 风险提示
- 波动性极大
- 监管不确定性
- 量子计算威胁（长期）
### 与传统资产关联
**与黄金**:
- 正相关性增强（相关系数>0.5）
- 共同避险属性
- 数字时代"双黄金"
**与美元**:
- 负相关（美元弱，BTC强）
- 美元信用危机时BTC受益
**与美股**:
- 与纳指正相关
- 科技属性+风险属性
### 与其他小组关联
- **大宗商品小组**: 黄金vs BTC对比
- **美国宏观小组**: 美联储政策影响
- **外资股票小组**: Coinbase等标的
## 小组结论
**一句话总结**: USDT是流动性工具，BTC是长期配置
**配置建议**:
- USDT: ≤5%（流动性中介）
- BTC: 5-10%（长期持有）
- 不建议散户参与DeFi（风险过高）
---
**报告时间**: YYYY-MM-DD HH:MM:SS
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 248 lines · 0 tokens per session scan A 5a694dcf0211
04_crypto_team_leader is an agent published in the GitHub repository samqin123/Claude_skill_pool (2 stars, last pushed 6mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,957 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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