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alpaca-trading Security Audit Report

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alpaca-trading is an AI agent skill, created by lacymorrow and published at lacymorrow/alpaca-trading-skill. ClawSecure audited alpaca-trading across 5 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 85/100 (Safe). The 3 findings concentrate in Command Injection, Permissions Manifest and Policy Violation, including Variable $BODY_TEXT (from network at line 49:… and Missing config.json - agent may not be properly configured. 1 was rated high or critical severity.

Is alpaca-trading safe?

ClawSecure audited alpaca-trading and assigned a security score of 85/100 (Safe), identifying 3 findings across Command Injection and Permissions Manifest. Review the findings below before installing.

What did ClawSecure find in alpaca-trading?

ClawSecure identified 3 findings in alpaca-trading, concentrated in Command Injection, Permissions Manifest and Policy Violation. 1 was rated high or critical severity. The most severe include Variable $BODY_TEXT (from network at line 49:… and Missing config.json - agent may not be properly configured.

How was alpaca-trading audited?

ClawSecure ran alpaca-trading through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 5 files from lacymorrow/alpaca-trading-skill.

What does a score of 85 mean?

ClawSecure assigned alpaca-trading a security score of 85/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status, though 1 finding was rated high or critical and warrants review. ClawSecure derives this score with a weighted deduction model (critical -20, high -10, medium -5, low -2 from a base of 100).

Audit Findings for alpaca-trading

ClawSecure detected 3 security findings in alpaca-trading, spanning Command Injection, Permissions Manifest and Policy Violation.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for alpaca-trading

Harden command execution
alpaca-trading constructs or runs system commands. Validate that commands are built only from trusted inputs, never pass user-controlled strings directly to a shell, and restrict execution to an allow-list of expected commands.
Add a config.json permissions manifest
A config.json file declares what an agent component can access: file system, network, shell execution and more. Without it, users have no visibility into what the component can do before installing. This is the single most impactful security improvement for any AI agent skill.
Resolve policy violations
alpaca-trading trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.
Pin dependencies to exact versions
Unpinned dependencies allow supply-chain attacks where a compromised version is pulled in automatically. Use exact version numbers in package.json (for example 1.2.3 instead of ^1.2.3) to keep unauthorized code out of your dependency tree. ClawSecure checks every dependency against known CVE databases.

Related Security Research

Why Generic Scanners Fail at AI Agent SecurityUnderstanding Our 3-Layer Audit ProtocolHow to Secure an MCP Server: The 2026 Guide

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Scanned on April 27, 2026. alpaca-trading is one of thousands of agents audited by ClawSecure from the community-curated awesome-openclaw-skills list and the openclaw/skills repository.

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