x2strategyALAGENT X2Strategy: any research input (PDF paper, Markdown draft, DOCX report, text notes, or keyword search) → structured strategy specification → executab...
Install via ClawdBot CLI:
clawdbot install patrick-lew/x2strategyGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
report → http://mba.tuck.dartmouth.edu/pages/faculty/Calls external URL not in known-safe list
https://platform.deepseek.comUses known external API (expected, informational)
arxiv.orgAI Analysis
The skill references external URLs (http://mba.tuck.dartmouth.edu, https://platform.deepseek.com, arxiv.org) that are consistent with its stated purpose of quantitative finance research and paper retrieval. There is no evidence of hidden instructions, credential harvesting, or obfuscation. The 'UNKNOWN_DATA_SINK' signal is a false positive — the Dartmouth URL is a well-known academic data source for finance research, not an exfiltration endpoint.
Generated Jul 17, 2026
A quant analyst uploads a PDF of a newly published finance paper. X2strategy extracts the trading strategies into structured specifications, enabling rapid evaluation and implementation without manual reading.
A retail trader writes a strategy idea in Markdown. The skill extracts the spec, generates Backtrader code, runs a backtest, and provides a diagnosis report, shortening the idea-to-validation cycle.
A finance professor wants to verify the results of a paper. X2strategy converts the paper into executable code and compares backtest metrics against the paper's reported figures, highlighting discrepancies.
An asset management firm receives a DOCX report containing a proposed strategy. The skill automatically parses the report, generates code, and runs diagnostics, enabling quick feasibility assessment.
A financial analyst searches for 'momentum trading papers'. X2strategy retrieves multiple papers, extracts their strategies, and presents a structured comparison, aiding in strategy selection.
Offer X2strategy as a cloud-based service where quants upload papers or drafts and receive executable strategies with backtest results. Revenue from monthly subscriptions or per-usage credits.
License the skill to hedge funds and asset managers for internal use, integrated with their proprietary infrastructure. Revenue via annual licensing fees with support contracts.
Offer a limited free tier on a developer platform (e.g., GitHub Marketplace) for individual use, with a paid API for high-volume or commercial usage.
💬 Integration Tip
To integrate, set up the Python environment with `uv sync --all-extras` and configure the LLM API key in `.env`; then call paper2spec or spec2code scripts with the appropriate file input.
Scored Jul 17, 2026
Audited Apr 26, 2026 · audit v1.0
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