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fin-cog翅片齿轮

Agent Skill

fin-cog 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

87,991

周安装

3,630

GitHub Stars

5

下载量

28,750
OpenClaw

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:fin-cog(翅片齿轮)
来源仓库:https://github.com/nitishgargiitd/fin-cog
安装命令:
openclaw skills install fin-cog
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 fin-cog

简介

依托 CellCog 技术提供股票分析与财务建模服务,覆盖估值与投资研究。

  • 适合投资者、分析师或研究人员进行基本面分析、盈利预测与组合优化。
  • 输出包含比率计算、趋势解读与行业对比的专业见解报告。
  • 数据源依赖公开财报与市场信息,滞后性可能导致结论不够及时。
  • 不构成投资建议,重大决策前应结合多方信息与专业顾问意见。

SKILL.md

name
fin-cog
description
AI financial analysis and stock research powered by CellCog. Stock analysis, valuation models, portfolio optimization, earnings breakdowns, investment research, financial statements, tax planning, DCF modeling. Deliverables as interactive dashboards, PDF reports, and Excel models.
metadata
openclaw
emoji
💰
os
[darwin, linux, windows]
requires
bins
[python3]
env
[CELLCOG_API_KEY]
author
CellCog
homepage
https://cellcog.ai
dependencies
[cellcog]

Fin Cog - Wall Street-Grade Analysis, Accessible Globally

Wall Street-grade analysis, accessible globally. Deep financial reasoning powered by #1 on DeepResearch Bench (Apr 2026) + SOTA financial models.

The best financial analysis has always lived behind Bloomberg terminals, institutional research desks, and $500/hour consultants. CellCog brings that same depth — stock analysis, valuation models, portfolio optimization, earnings breakdowns — to anyone with a prompt. From raw tickers to boardroom-ready deliverables in one request.

How to Use

For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.

OpenClaw (fire-and-forget):

result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)

All agents except OpenClaw (blocks until done):

from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])

What Financial Work You Can Do

Stock & Equity Analysis

Deep dives into public companies:

  • Company Analysis: "Analyze NVIDIA — revenue trends, margins, competitive moat, and forward guidance"
  • Earnings Breakdowns: "Break down Apple's Q4 2025 earnings — beat/miss, segment performance, management commentary"
  • Valuation Models: "Build a DCF model for Microsoft with bear, base, and bull scenarios"
  • Peer Comparisons: "Compare semiconductor stocks — NVDA, AMD, INTC, TSM — on valuation, growth, and profitability metrics"
  • Technical Analysis: "Analyze Tesla's price action — key support/resistance levels, moving averages, and volume trends"

Example prompt:

"Create a comprehensive stock analysis for Palantir (PLTR): Cover: - Business model and revenue breakdown (government vs commercial) - Last 4 quarters earnings performance - Key financial metrics (P/E, P/S, FCF margin, revenue growth) - Competitive positioning vs Snowflake, Databricks, C3.ai - Bull and bear thesis - Valuation assessment Deliver as an interactive HTML report with charts."

Portfolio Analysis & Optimization

Manage and optimize investments:

  • Portfolio Review: "Analyze my portfolio: 40% AAPL, 20% MSFT, 15% GOOGL, 15% AMZN, 10% TSLA — diversification, risk, and recommendations"
  • Asset Allocation: "Design an optimal portfolio for a 35-year-old with $200K, moderate risk tolerance"
  • Risk Assessment: "Calculate the Sharpe ratio, beta, and maximum drawdown for this portfolio over the last 3 years"
  • Rebalancing: "My portfolio drifted from target — recommend rebalancing trades to minimize tax impact"

Financial Modeling

Build professional financial models:

  • DCF Models: "Build a discounted cash flow model for Shopify with sensitivity analysis on growth and discount rate"
  • Startup Financial Models: "Create a 3-year financial projection for a B2B SaaS with $50K MRR growing 15% monthly"
  • LBO Models: "Model a leveraged buyout scenario for a $100M revenue company at 8x EBITDA"
  • Scenario Analysis: "Create a 3-scenario model (recession, baseline, boom) for a retail REIT portfolio"

Financial Documents & Reports

Professional financial deliverables:

  • Investment Memos: "Write an investment memo recommending a position in CrowdStrike"
  • Quarterly Reports: "Create a quarterly financial report for my small business"
  • Financial Statements: "Generate pro forma financial statements for a startup fundraise"
  • Tax Planning: "Analyze tax optimization strategies for a freelancer earning $150K with $30K in capital gains"

Personal Finance

Everyday financial planning:

  • Retirement Planning: "How much do I need to save monthly to retire at 55 with $2M? I'm 30, saving $2K/month currently"
  • Mortgage Analysis: "Compare a 15-year vs 30-year mortgage on a $500K home with 20% down at current rates"
  • Debt Payoff: "Create a debt payoff plan: $15K student loans at 5%, $8K credit card at 22%, $25K car loan at 6%"
  • Budget Optimization: "Analyze my spending breakdown and recommend where to cut to save $1,000/month more"

Output Formats

CellCog delivers financial analysis in multiple formats:

FormatBest For
Interactive HTML DashboardExplorable charts, drill-down analysis, live data presentation
PDF ReportShareable, printable investment memos and reports
XLSX SpreadsheetEditable financial models, projections, calculations
MarkdownQuick analysis for integration into your docs

Specify your preferred format in the prompt:

  • "Deliver as an interactive HTML report with charts"
  • "Create a PDF investment memo"
  • "Build this as an editable Excel model"

Chat Mode for Finance

ScenarioRecommended Mode
Quick lookups, single stock metrics, basic calculations"agent"
Deep analysis, valuation models, multi-company comparisons, investment research"agent team"
High-stakes investment decisions, M&A due diligence, institutional-grade research"agent team max"

Use "agent team" for most financial analysis. Financial work demands deep reasoning, data cross-referencing, and multi-source synthesis. Agent team mode delivers the depth that serious financial analysis requires.

Use "agent" for quick financial lookups — current stock price, simple calculations, or basic metric checks.

Use "agent team max" for high-stakes financial work — investment decisions with significant capital at risk, M&A due diligence, regulatory filings, or boardroom-ready deliverables where the extra reasoning depth justifies the cost. Requires ≥2,000 credits.


Example Prompts

Comprehensive stock analysis:

"Create a full investment analysis for AMD: 1. Business Overview — segments, revenue mix, competitive positioning 2. Financial Performance — last 8 quarters revenue, margins, EPS trends 3. Valuation — P/E, P/S, PEG vs peers (NVDA, INTC, QCOM) 4. Growth Catalysts — AI/datacenter, gaming, embedded 5. Risk Factors — competition, cyclicality, customer concentration 6. Bull/Bear/Base price targets Interactive HTML report with comparison charts."

Financial model:

"Build a startup financial model: Business: B2B SaaS, project management tool Current: $30K MRR, 200 customers, $150 ARPU Growth: 12% MoM for 12 months, then 8% for next 12 Team: 8 people now, hiring 4 in next year Expenses: $180K/month burn rate Create a 24-month projection showing: - Revenue forecast with cohort analysis - Expense breakdown and hiring plan - Cash flow and runway - Unit economics (CAC, LTV, payback period) - Break-even analysis Deliver as Excel spreadsheet with charts."

Personal finance:

"I'm 28, earning $120K/year in San Francisco. I want to: 1. Max out 401K contributions 2. Build a 6-month emergency fund ($30K) 3. Save for a house down payment ($100K in 5 years) 4. Start investing in index funds Create a detailed monthly financial plan that shows how to prioritize these goals with my take-home pay after taxes. Include a timeline and visual roadmap."

Earnings analysis:

"Break down Tesla's most recent quarterly earnings: - Revenue vs estimates (beat/miss by how much?) - Automotive margins — trend over last 4 quarters - Energy and services segment performance - Key quotes from management on guidance - What analysts are saying post-earnings - Bull and bear reactions Deliver as a concise PDF report with charts."

Tips for Better Financial Analysis

  1. Be specific about metrics: "Revenue growth" is vague. "YoY revenue growth for the last 8 quarters with segment breakdown" is precise.
  1. Specify time horizons: "Analyze AAPL" is open-ended. "Analyze AAPL's performance and outlook for the next 12 months" is actionable.
  1. State your purpose: "For an investment decision", "For a board presentation", "For personal planning" — context shapes the analysis.
  1. Include constraints: Budget, risk tolerance, time horizon, tax situation — these matter for financial recommendations.
  1. Request scenarios: "Include bear, base, and bull cases" gives you a range, not just a point estimate.
  1. Ask for the deliverable you need: "Interactive dashboard", "PDF memo", "Excel model" — specify the format for the best result.

If CellCog is not installed

Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate. OpenClaw users: Run clawhub install cellcog instead. Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.

适合场景

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能力 2

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能力 3

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能力 4

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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。

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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。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。

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