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Agent Skill · AI 工具

risk-management(风险管理)

risk-management 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

risk-management 是AI 工具类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证为 MIT,第三方扫描已通过,按安装量在AI 工具类的 2,536 个 Skill 里排第 71。

总安装 32,448周安装 1,316GitHub Stars 4下载 10,504核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:risk-management(风险管理)
来源仓库:https://github.com/0xhubed/agent-trading-arena
仓库路径:skills/risk-management
安装命令:
npx skills add https://github.com/0xhubed/agent-trading-arena --skill risk-management
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/0xhubed/agent-trading-arena --skill risk-management

这个 Skill 是做什么的

AI 工具类 Skill 用来扩展助手本身的能力,例如接模型、接检索、接外部服务。

从 13,385 笔历史交易中提取的数据驱动的头寸规模和止损规则。

在进入之前优先考虑明确的风险验证:记录了每笔交易风险检查和 2:1 回报率的交易显示 92% 的成功率和 +1,379 美元的平均盈亏 使交易频率适应市场机制:平坦市场最多可容忍 3-6 笔交易;波动的市场每 24 小时需要 0-10 次交易;频率过高(超过 150 笔交易)与超过 500 美元的损失相关 应用头寸规模上限:将单笔交易的股权风险限制在 2% 以内,并通过多种资产进行多元化投资,而不是集中头寸 在盈亏平衡点附近主动平仓亏损头寸,释放资本;当势头转变时立即平仓

来源仓库内路径:skills/risk-management

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/0xhubed/agent-trading-arena --skill risk-manag…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

risk-management 怎么安装?

在终端执行 npx skills add https://github.com/0xhubed/agent-trading-arena --skill risk-management。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

risk-management 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

risk-management 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

risk-management 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

risk-management 用的人多吗?

公开数据是累计安装 32,448 次,近一周安装 1,316 次,下载 10,504 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

risk-management 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理AI 工具类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

AI 工具类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
executing-plans

执行计划 · Codex、Claude

1,515,336173,110只读MIT通过
verification-before-completion

完成前的验证 · Codex、Claude

1,319,472173,121权限未标注MIT通过
subagent-driven-development

子 Agent 驱动开发 · Codex、Claude

1,312,416173,138只读MIT通过
copy-editing

复制编辑 · Codex、Claude

1,209,57625,632只读MIT通过
paywall-upgrade-cro

付费专区升级 cro · Codex、Claude

1,030,17625,617只读MIT通过
risk-management

风险管理 · 本页

32,4484需要联网MIT通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Risk Management

Last updated: 2026-03-09 20:08 UTC Active patterns: 54 Total samples: 8500 Confidence threshold: 60%

Core Principles

These rules are derived from analyzing profitable vs losing trades:

RuleSuccess RateSamplesConfidenceSeen
Trade frequency inversely correlates wit...95%47350%1x
When ALL 5 tracked assets are positive o...95%5845%1x
Position sizing at 2% equity risk with 2...92%18390%1x
Position sizing at 2% equity risk with 2...92%20095%1x
Cap trade frequency at 10 trades/24h max...90%8445%1x
Closing LONG positions quickly to pivot...88%5095%1x
Trade frequency must be inversely propor...88%10945%1x
Multi-timeframe bearish alignment (15m,...88%38399%2x
In uniformly bearish markets, 'low-sever...85%4985%1x
Validation checks passing ('validation p...85%20095%1x
High trade frequency (189-200 trades/24h...85%38995%1x
When ALL 5 tracked assets are positive o...85%11395%1x
Position sizing at 2% equity risk with 2...80%4985%1x
Self-reflective position management (jou...80%4880%1x
Forum/social sentiment filtering provide...80%2495%1x
Closing SHORT positions 'to lock in gain...78%4885%1x
Low leverage (2x) on SHORT positions wit...75%4885%1x
Position sizing at 2% equity risk with 2...75%17290%1x
Low trade frequency (<40 trades/24h) pre...75%4895%1x
In uniformly bearish markets, SHORT-bias...75%341%1x
Avoid momentum-following strategies in m...75%3395%1x
Self-reflective position management (rec...75%2795%1x
Contrarian strategies underperform in mi...70%1682%1x
Cap trade frequency at 15 trades/24h max...70%11395%1x
Cap trade frequency at 16 trades/24h max...67%8665%1x
In mixed/low-volatility markets (daily m...67%14695%1x
Self-reflective position management (jou...65%6545%1x
Multi-timeframe bearish alignment (15m,...50%33790%1x
High trade frequency (165-172 trades/24h...50%33790%1x
High trade frequency (183 trades/24h) ca...50%36690%1x
In uniformly bearish markets with mild d...50%657%1x
Validation checks passing ('all checks p...41%99894%2x
Closing positions due to 'conflicting ti...35%2080%1x
Trade frequency inversely correlates wit...33%8665%1x
Cutting small losses quickly (-$0.14 to...30%13190%1x
Cutting small losses quickly (-$38 on SO...30%14795%1x
Contrarian LONG entries in bullish marke...30%662%1x
Closing positions 'to reduce concentrati...30%70899%3x
Closing positions 'to reduce concentrati...25%16590%1x
Validation checks passing ('all checks p...25%50195%1x
High concentration warnings (127% of equ...25%16695%1x
Multi-timeframe alignment (15m, 1h, 4h)...15%29850%1x
Low trade frequency (<20 trades/24h) in...15%2595%1x
Position sizing at 2% equity risk with 2...15%16695%1x
2% equity risk with 2:1 reward ratio con...15%5845%1x
2% equity risk with 2:1 reward ratio FAI...10%3195%1x
Cutting small losses quickly (-$0.01 to...5%15290%1x
Position sizing at 2% equity risk with 2...0%33450%1x
High leverage (4x-5x) with 'optimal' ris...0%13250%1x
Self-reflective position management (jou...0%6265%1x
Low-frequency LONG entries in a bearish...0%443%1x
Contrarian LONG entries in uniformly bea...0%953%1x
Skill-aware validation frameworks (2% eq...0%2790%1x
Contrarian LONG entries in bearish marke...0%1167%1x

Top Risk Rules

Trade frequency inversely correlates with performance in bullish markets: 8 trades = $0.00, 30-34 trades = -$46 to -$51, 120-166 trades = -$41 to -$135

  • Success rate: 95%
  • Based on 473 observations
  • Confidence: 50% (seen 1 times)
  • First identified: 2026-01-28

When ALL 5 tracked assets are positive over 24h with gains exceeding +5%, immediately halt ALL SHORT entries regardless of any lower-timeframe signals, validation checks, or risk calculators.

  • Success rate: 95%
  • Based on 58 observations
  • Confidence: 45% (seen 1 times)
  • First identified: 2026-03-04

Position sizing at 2% equity risk with 2:1 reward ratio SUCCEEDS when agent maintains SHORT bias in bearish markets and uses validation to confirm market direction alignment.

  • Success rate: 92%
  • Based on 183 observations
  • Confidence: 90% (seen 1 times)
  • First identified: 2026-01-31

Position sizing at 2% equity risk with 2:1 reward ratio SUCCEEDS when market direction aligns with position bias and agent maintains high trade frequency (150-200/24h).

  • Success rate: 92%
  • Based on 200 observations
  • Confidence: 95% (seen 1 times)
  • First identified: 2026-02-01

Cap trade frequency at 10 trades/24h maximum in strongly bullish markets when agent directional bias is uncertain. qwen35_skill_aware's 7 trades (+$250.52) vs gptoss_agentic's 28 trades (-$435.19).

  • Success rate: 90%
  • Based on 84 observations
  • Confidence: 45% (seen 1 times)
  • First identified: 2026-03-04

General Guidelines

  • Never risk more than 2% of equity on a single trade
  • Use stop-losses on every position
  • Reduce position size in high volatility regimes
  • Don't add to losing positions

Confidence Guide

ConfidenceInterpretation
90%+High confidence - strong historical support
70-90%Moderate confidence - use with other signals
60-70%Low confidence - consider as one input
<60%Experimental - needs more data

*This skill is automatically generated and updated by the Observer Agent.*

平台分布

Claude Code

30.37%
按下载量换算3,190

OpenCode

24.11%
按下载量换算2,533

Gemini CLI

19.54%
按下载量换算2,052

Antigravity

12.42%
按下载量换算1,305

Codex

7.73%
按下载量换算812

windsurf

3.39%
按下载量换算356

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

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