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ib-collarIB 领

Agent Skill

ib-collar 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

706

周安装

30

GitHub Stars

131

下载量

247
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:ib-collar(IB 领)
来源仓库:https://github.com/staskh/trading_skills
仓库路径:skills/ib-collar
安装命令:
npx skills add https://github.com/staskh/trading_skills --skill ib-collar
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/staskh/trading_skills --skill ib-collar

简介

ib-collar 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用。
  • 安装前需确认权限范围、维护状态及是否触发联网或文件操作。
  • ib-collar 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

IB Tactical Collar

Generate a tactical collar strategy report for protecting PMCC positions through earnings or high-risk events.

Prerequisites

User must have TWS or IB Gateway running locally with API enabled:

  • Paper trading: port 7497
  • Live trading: port 7496

Instructions

Step 1: Gather Data

uv run python scripts/collar.py SYMBOL [--port PORT] [--account ACCOUNT]

The script returns JSON to stdout with all position and scenario data.

Step 2: Format Report

Read templates/markdown-template.md for formatting instructions. Generate a markdown report from the JSON data and save to sandbox/.

Step 3: Report Results

Present key findings to the user: recommended put protection, cost/benefit, and the saved report path.

Arguments

  • SYMBOL - Stock symbol to analyze (must be in portfolio)
  • --port - IB port (default: 7496 for live trading)
  • --account - Specific account ID (optional, searches all accounts)

JSON Output

The script returns JSON with these key fields:

  • symbol, current_price - Basic info
  • long_strike, long_expiry, long_qty, long_cost - LEAPS position
  • short_positions - List of short calls
  • is_proper_pmcc, short_above_long - PMCC health flags
  • earnings_date, days_to_earnings - Earnings timing
  • put_analysis - List of put scenarios with costs and P&L under gap up/flat/down
  • unprotected_loss_10, unprotected_loss_15, unprotected_gain_10 - LEAPS risk without collar
  • volatility - Historical volatility data

Report Sections

  1. Position Summary: Current PMCC structure (long calls, short calls)
  2. PMCC Health Check: Is structure proper (short > long strike) or broken?
  3. Earnings Risk: Next earnings date and days until event
  4. Put Duration Analysis: Comparison of short vs medium vs long-dated puts
  5. Collar Scenarios: Gap up, flat, gap down outcomes with each put duration
  6. Cost/Benefit Analysis: Insurance cost vs protection value
  7. Implementation Timeline: Step-by-step checklist with dates
  8. Recommendation: Optimal put strike and expiration

Key Concepts

Proper PMCC Structure:

  • Long deep ITM LEAPS call
  • Short OTM calls ABOVE long strike
  • No additional margin required for collar

Broken PMCC Structure:

  • Long call is now OTM (after crash)
  • Short calls BELOW long strike require margin
  • Collar still works but margin implications exist

Tactical Collar:

  • Buy protective puts ONLY before high-risk events (earnings)
  • Sell puts after event passes
  • Balances income generation with crash protection

Put Duration Trade-offs:

  • Short-dated: Cheaper, more gamma, but zero salvage on gap up
  • Medium-dated (2-4 weeks): Best balance of cost, gamma, and salvage
  • Long-dated: Preserves value on gap up, but expensive and less gamma

Example Usage

# Analyze NVDA position (defaults to production port 7496)
uv run python scripts/collar.py NVDA

# Analyze specific account
uv run python scripts/collar.py AMZN --account U790497

# Use paper trading port instead
uv run python scripts/collar.py NVDA --port 7497

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.54%
按下载量换算88

Claude

31.36%
按下载量换算77

Cursor

20.13%
按下载量换算50

Gemini CLI

10.12%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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