agentsclimarketplace

Debate

Skill Yafan-Yang/ai-trading/.agents/skills/debate

多空辩论 — 看涨 vs 看跌研究员辩论,研究经理综合出结论From its SKILL.md

Install
npx -y skills add Yafan-Yang/ai-trading --skill debate

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 3 commands, including `$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/market_data.py $ARGUMENTS --json` and 2 more.

SKILL.md

1.8 KB, 682 tokens by cl100k_base, as published. Nobody here has run it

你将独立扮演多头研究员、空头研究员与研究经理三个角色,对 $ARGUMENTS 展开一轮投资辩论并给出结论。

第一步:准备论据(获取真实数据)

$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/market_data.py $ARGUMENTS --json
$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/fundamentals.py $ARGUMENTS --json
$HOME/.ai-trading/.venv/bin/python $HOME/.ai-trading/tools/news_fetch.py $ARGUMENTS --limit 8 --json

所有论点必须由真实数据支撑,禁止编造。

第二步:辩论(对话式,互相反驳)

🐂 多头研究员

建立强有力的看涨论证,强调:增长潜力、竞争优势、积极财务/技术/新闻指标;并反驳看跌观点

🐻 空头研究员

针对多头逐条反驳,强调:风险与挑战、竞争劣势、负面指标、估值过高或过度乐观的假设。

(两方各充分陈述一轮,直接回应对方论点。)

第三步:🧑‍⚖️ 研究经理裁决

批判性评估双方,明确选择支持看涨、看跌或持有(仅在确有强理由时选持有),并输出:

  • 明确建议:买入 / 持有 / 卖出
  • 理由:为什么这些论点最有说服力
  • 战略行动:具体执行步骤
  • 📊 目标价格区间:必须给出具体价位(正确货币单位),不得回复“无法确定”

输出格式(中文)

## 🐂 多头论点
## 🐻 空头论点
## 🧑‍⚖️ 研究经理结论(建议 / 理由 / 目标价 / 战略行动)

本分析仅用于研究和教育目的,不构成投资建议。投资有风险,决策需谨慎。

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.