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Agent Skill · 研究检索

fin-cog(翅片齿轮)

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。

fin-cog 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 1,540。

总安装 87,991周安装 3,630GitHub Stars 5下载 28,750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-0
版本
1.0.12

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

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 OpenClaw;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 openclaw skills install fin-cog;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

fin-cog 怎么安装?

在终端执行 openclaw skills install fin-cog。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

fin-cog 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

fin-cog 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。

fin-cog 是免费的吗?

来源标注的许可证是 MIT-0。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。

fin-cog 用的人多吗?

公开数据是累计安装 87,991 次,近一周安装 3,630 次,下载 28,750 次,GitHub 5 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。

fin-cog 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,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 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
fin-cog

翅片齿轮 · 本页

87,9915需要联网MIT-0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

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.

平台分布

OpenClaw

87.54%
按下载量换算25,168

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

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。目前只有一个公开来源,建议同时核对源仓库。

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