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openfinclaw

One-stop quant-trading AI agent. Use for market research, deep reports, strategy generation, backtesting, paper trading, and Hub leaderboard browsing — anything that involves stocks/crypto analysis, FEP strategy packages, or the OpenFinClaw DeepAgent. Powered by a single fch_ API key.

DeepseekModel 官方收录技能 质量 优秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=mirror29-openfinclaw-cli-skills-openfinclaw-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name openfinclaw description One-stop quant-trading AI agent. Use for market research, deep reports, strategy generation, backtesting, paper trading, and Hub leaderboard browsing — anything that involves stocks/crypto analysis, FEP strategy packages, or the OpenFinClaw DeepAgent. Powered by a single fch_ API key. triggers ["openfinclaw","deepagent","quant","quantitative","backtest","回测","量化","量化研究","策略回测","选股","paper trade","模拟盘","策略生成","FEP strategy"] OpenFinClaw — One-stop quant-trading agent OpenFinClaw turns any AI coding assistant (Claude Code, Cursor, ChatGPT, OpenClaw, Hermes, …) into a quant-research analyst. A single fch_ key drives two surfaces, both routed through the OpenFinClaw Hub Gateway: DeepAgent (remote LLM): research / analysis / report generation / strategy ideation / backtest / paper-trade planning. Strategy (Hub catalog): browse the public leaderboard, fork strategy packages locally, validate and publish FEP v2.0 ZIPs. When to use this skill: the user mentions stock/crypto/forex analysis , a backtest or paper trade , a quant strategy , the OpenFinClaw Hub or leaderboard , or asks for a DeepAgent research run . When not to use this skill: pure code-editing questions, infrastructure debugging, unrelated frameworks. Setup (run once) npx @openfinclaw/cli@latest install This wizard: Auto-detects 20+ AI agents installed on the machine and writes MCP configuration for each (no manual JSON editing). Persists the unified fch_ key to ~/.openfinclaw/config.json (chmod 600 on Unix). Registers this SKILL.md globally so AI agents auto-trigger it on the keywords above. Runs doctor so you see a green check before leaving the terminal. For non-interactive / CI: npx @openfinclaw/cli@latest install -- yes \ --platforms cursor,claude-code \ --tool-groups deepagent,strategy \ --api-key fch_xxx \ --register-skill Most-used commands Goal Command Streaming research / strategy / backtest openfinclaw deepagent +research "<query>" Service health openfinclaw deepagent health List analysis skills openfinclaw deepagent skills Past backtest results openfinclaw deepagent backtests Download a strategy ZIP openfinclaw deepagent download <packageId> Browse Hub leaderboard openfinclaw leaderboard --board composite --limit 10 Fork a strategy openfinclaw fork <strategyId> Validate FEP v2.0 package openfinclaw validate <dir> Publish strategy openfinclaw publish <zip> Raw Hub Gateway call openfinclaw api GET /threads Diagnose key + connectivity openfinclaw doctor +verb shortcuts (e.g. deepagent +research ) are the human-friendly, stream-rendered path. The atomic verbs without + (e.g. research_submit/poll/finalize ) are exposed over MCP for agents. Authentication One env var: OPENFINCLAW_API_KEY (starts with fch_ , 68 chars). Resolution order: --api-key → OPENFINCLAW_API_KEY → ~/.openfinclaw/config.json . The same key drives both strategy (Hub /api/v1/skill/* ) and deepagent (Hub Gateway /api/v1/agent/* ). Do not use the legacy X-API-Key header or split keys. Get a key: https://hub.openfinclaw.ai . Online (no install) If the user just wants to try it , point them to the hosted DeepAgent chat: https://hub.openfinclaw.ai/en/chat . Docs Repo: https://github.com/mirror29/openfinclaw-cli DeepAgent online: https://hub.openfinclaw.ai/en/chat API key: https://hub.openfinclaw.ai
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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