⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

📉 Stock Trading

Clawbackv1.1.1

Name: Clawback
Author: mainfraame

clawback

mainfraame

Mirror congressional stock trades with automated broker execution and risk management. Use when you want to track and automatically trade based on congressio...

latest

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

4.8K

Stars

CreatedFeb 1, 2026

UpdatedMay 18, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install mainfraame/clawback

https://github.com/mainfraame/clawback

Skill Package52 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

A67/100

Grade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation14/35

· 5 installs (low)
· 3268 downloads (high demand)

Documentation20/25

· SKILL.md present
· Detailed documentation (≥3000 chars)
· Contains usage examples or trigger description
· Detailed summary

Package Completeness11/15

· skillAssets present (51 files)

Security Analysis

⚠️ Medium Risk

UNKNOWN_DATA_SINKhigh

Sends data to undocumented external endpoint (potential exfiltration)

Report → https://github.com/openclaw/clawback/issues

UNDOCUMENTED_EXTERNALlow

Calls external URL not in known-safe list

https://github.com/mainfraame/clawback

KNOWN_EXTERNALlow

Uses known external API (expected, informational)

raw.githubusercontent.com

AI Analysis

The skill interacts with a financial brokerage API (E*TRADE) and an external GitHub repository, which is consistent with its stated purpose. However, the rule-based signals indicate it sends data to an undocumented external endpoint ('https://github.com/openclaw/clawback/issues'), which could be a telemetry or error-reporting mechanism not disclosed to the user, posing a potential data exfiltration risk.

💡

Usage Guide

Generated Mar 1, 2026

Individual retail investorsFinancial advisors and wealth managersintermediate

💡 Application Scenarios

Individual Investor Portfolio EnhancementFinance and Investment

An individual investor with a moderate risk tolerance uses ClawBack to automatically mirror congressional stock trades, aiming to capitalize on the informational advantages of politicians. They set up the skill with their E*TRADE account, configure position sizing to limit exposure, and receive Telegram notifications for trade executions and risk alerts, allowing hands-off management of a portion of their portfolio.

Financial Advisor Client OfferingWealth Management

A financial advisory firm integrates ClawBack into their service offerings to provide clients with automated trading based on congressional disclosures, positioning it as a niche strategy for high-net-worth individuals. They use the backtesting engine to demonstrate historical performance, set conservative risk parameters like daily loss limits, and manage multiple accounts through E*TRADE's API, enhancing client engagement with unique investment insights.

Hedge Fund Research ToolAsset Management

A hedge fund employs ClawBack as a research and execution tool to track and analyze congressional trading patterns, using the data to inform broader market strategies. They customize the default politician list to focus on key committees, leverage the automated execution for small-scale trades to test hypotheses, and integrate the skill's outputs into their proprietary analytics platforms for deeper insights.

Educational Platform for Trading CoursesEdTech

An online education platform teaching stock market strategies uses ClawBack in a sandbox environment to demonstrate automated trading concepts and risk management to students. They run the setup with E*TRADE's sandbox API, simulate trades without real money, and analyze backtest results to illustrate the potential and limitations of following congressional trades, providing hands-on learning experiences.

Fintech Startup Product FeatureFintech

A fintech startup developing a robo-advisor app incorporates ClawBack as an optional feature for users interested in alternative data-driven investing. They streamline the setup process with in-app prompts for E*TRADE credentials, use the skill's configuration to align with user risk profiles, and offer notifications via their own app instead of Telegram, creating a seamless user experience.

💼 Business Models

Subscription-Based AccessMonthly subscription fees ranging from $20 to $200 per user

Offer ClawBack as a premium subscription service where users pay a monthly fee to access automated trading based on congressional disclosures. Revenue is generated through tiered plans with features like advanced backtesting, custom politician lists, and priority support, targeting individual investors and small firms seeking passive income strategies.

White-Label LicensingOne-time licensing fees of $10,000 to $50,000 plus annual support fees

License ClawBack to financial institutions, such as brokerages or advisory firms, who rebrand and integrate it into their existing platforms. Revenue comes from upfront licensing fees and ongoing maintenance contracts, allowing partners to offer unique automated trading tools to their clients without developing the technology in-house.

Affiliate and Referral ProgramCommission-based earnings from broker sign-ups and trade volumes

Generate revenue by partnering with E*TRADE and other financial service providers, earning commissions for new account referrals or trade executions facilitated through ClawBack. Promote the skill to users as a value-added tool, with incentives for signing up via affiliate links, creating a passive income stream based on user activity.

💬 Integration Tip

Ensure users have Python3 and pip installed before setup, and guide them to obtain E*TRADE API credentials from developer.etrade.com to avoid common configuration errors.