Claude Trading Skills Model Card
这是可索引项目报告证据页:它保留 Claude Trading Skills Model Card 的源材料入口、机制线索和限制提醒;正文仍需 reader/editor 与 academic public-copy review 后才能当作最终结论引用。
Claude Trading Skills Model Card
| Field | Value |
|---|---|
| Repository | agiprolabs/claude-trading-skills |
| Category | Domain Agent Skill Workflow Pack |
| Stars / forks snapshot | 31 / 14 |
| Language | Python |
| License | MIT |
| Raw capture | raw-github/agiprolabs_claude-trading-skills.md |
| Updated by | hourly public metadata update, 2026-05-26 07:45 +0800 |
1. Role in Self Evolve
Claude Trading Skills packages trading, DeFi and quantitative finance procedures as reusable Agent Skills for Claude Code, Codex, Cursor, Gemini CLI and other compatible runtimes. It matters to self-evolving agents because durable improvement often appears first as reusable procedures, workflow discipline and domain-specific skill assets rather than direct model-weight updates.
2. Working Principle
domain skill pack -> market data / backtesting / risk / tax workflows -> reusable agent task procedures
3. Evidence Path
web-observed GitHub page showed 31 stars, 14 forks, 4 commits, MIT license, Python primary language, and README language about 62 trading/DeFi/quantitative-finance Agent Skills across 16 categories with Claude Code plugin and manual install paths for Codex, Cursor and Gemini CLI. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.
4. Teaching Use
Use this card to explain Domain Agent Skill Workflow Pack: the project helps show how skill libraries turn repeated expert behavior into installable agent assets that can be versioned, reviewed and reused across agents.
5. Limits
The repository was not cloned in this iteration; no benchmark, plugin install, workflow run, trading analysis, Spec Kit task, or agent loop was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.