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portfolioportfolio 分析

Agent Skill

portfolio 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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。

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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

MIT-0

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:portfolio(portfolio 分析)
来源仓库:https://github.com/bytesagain1/portfolio
安装命令:
openclaw skills install portfolio
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install portfolio

简介

portfolio 用于管理投资组合,支持头寸添加、回报计算和再平衡建议。

  • 适合金融分析与资产配置类任务。
  • 通过 clawhub 安装并使用 openclaw skills install portfolio 命令集成。
  • 使用前请确认是否涉及资金数据接口及相应权限控制。
  • portfolio 属于效率类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
portfolio
description
Manage investment portfolios. Use when adding positions, analyzing allocation, calculating returns, or generating rebalance advice.
version
3.4.0
author
BytesAgain
homepage
https://bytesagain.com
source
https://github.com/bytesagain/ai-skills
tags

Portfolio

Investment portfolio manager. Add and remove holdings, list positions, analyze allocation weights, generate rebalance suggestions against target weights, and calculate performance returns over configurable time periods. All data is stored locally in JSON files — no external API calls required.

Commands

CommandDescriptionFlags
add <ticker> <qty> <price>Buy shares — adds to holdings and records a buy transaction--date YYYY-MM-DD (defaults to today)
remove <ticker>Sell shares — removes from holdings and records a sell transaction--quantity N (partial sell; omit to sell all)
listDisplay all current holdings in a formatted table`--format table\json\csv`
analyzeAnalyze portfolio allocation with value and weight percentages`--by ticker\sector --format table\json`
rebalanceGenerate buy/sell suggestions to reach target allocation weights--target TICKER:PCT,... --threshold PCT (default 5)
performanceCalculate portfolio returns (invested, sold, current value, gain/loss)`--period 1d\1w\1m\3m\1y\all --format table\json`
helpShow the built-in help message with all command examples

Data Storage

All data is stored locally in ~/.portfolio/:

  • holdings.json — Array of current positions, each with ticker, quantity, avg_price, and date_added
  • transactions.json — Array of all buy/sell transactions with type, ticker, quantity, price, and date

Both files are auto-created as empty JSON arrays ([]) on first use. The add command automatically merges duplicate tickers by recalculating the weighted average price.

Requirements

  • bash (4.0+)
  • python3 (standard library only — json, os, sys, datetime)
  • No external APIs, no pip packages, no network access needed

When to Use

  1. Tracking purchases — When you buy stocks, ETFs, or crypto and want to record ticker, quantity, and price with automatic cost-basis averaging
  2. Reviewing holdings — When you need a quick snapshot of your current portfolio in table, JSON, or CSV format
  3. Allocation analysis — When you want to see how your portfolio is weighted across assets, with percentage breakdowns and visual bars
  4. Rebalancing — When you need buy/sell recommendations to reach target allocation weights (e.g., AAPL:40,GOOG:30,BTC:30), with configurable drift thresholds
  5. Performance tracking — When you want to calculate total invested, total sold, current value, and gain/loss percentage over a specific time period (1 day to all-time)

Examples

# Add 100 shares of AAPL at $150.50, purchased on Jan 15, 2024
bash scripts/script.sh add AAPL 100 150.50 --date 2024-01-15

# Add 0.5 BTC at $42,000 (today's date auto-applied)
bash scripts/script.sh add BTC 0.5 42000

# Sell 50 shares of AAPL (partial sell)
bash scripts/script.sh remove AAPL --quantity 50

# Remove entire GOOG position
bash scripts/script.sh remove GOOG

# List holdings as a formatted table
bash scripts/script.sh list

# List holdings as JSON for programmatic use
bash scripts/script.sh list --format json

# List holdings as CSV for spreadsheet import
bash scripts/script.sh list --format csv

# Analyze allocation by ticker with visual weight bars
bash scripts/script.sh analyze --format table

# Get allocation as JSON
bash scripts/script.sh analyze --format json

# Generate rebalance suggestions with custom targets and 3% threshold
bash scripts/script.sh rebalance --target AAPL:40,GOOG:30,BTC:30 --threshold 3

# Equal-weight rebalance (no --target defaults to equal weight across all holdings)
bash scripts/script.sh rebalance

# Check performance over the last month
bash scripts/script.sh performance --period 1m

# All-time performance as JSON
bash scripts/script.sh performance --period all --format json

How It Works

The script uses embedded Python (standard library only) for JSON manipulation and calculations. Bash handles argument parsing and dispatches to the appropriate Python block. When you add a position that already exists, the script recalculates the weighted average price automatically. The rebalance command compares current allocation percentages against your targets and flags any drift exceeding the threshold, recommending dollar amounts to buy or sell. The performance command filters transactions by date range and computes total invested, total sold, current portfolio value, and the resulting gain/loss.

Output

All commands print to stdout. Use --format json for machine-readable output where supported. Redirect with standard shell operators:

bash scripts/script.sh list --format csv > portfolio.csv
bash scripts/script.sh performance --format json | jq .

Powered by BytesAgain | bytesagain.com | hello@bytesagain.com

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

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能力 4

补充不同宿主或平台的使用分布数据

能力 5

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

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权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install portfolio 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。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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