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paddleocr-doc-parsing Security Audit Report

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paddleocr-doc-parsing is an AI agent skill, created by bobholamovic and published at openclaw/skills. ClawSecure audited paddleocr-doc-parsing across 11 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 75/100 (Medium Risk). The 5 findings concentrate in Unauthorized Tool Use, Social Engineering and Policy Violation, including Potentially dangerous code pattern detected: base64.*decode and Skill code uses network libraries but doesn't declare network.... 1 was rated high or critical severity.

Is paddleocr-doc-parsing safe?

ClawSecure audited paddleocr-doc-parsing and assigned a security score of 75/100 (Medium Risk), identifying 5 findings across Unauthorized Tool Use and Social Engineering. Review the findings below before installing.

What did ClawSecure find in paddleocr-doc-parsing?

ClawSecure identified 5 findings in paddleocr-doc-parsing, concentrated in Unauthorized Tool Use, Social Engineering and Policy Violation. 1 was rated high or critical severity. The most severe include Potentially dangerous code pattern detected: base64.*decode and Skill code uses network libraries but doesn't declare network....

How was paddleocr-doc-parsing audited?

ClawSecure ran paddleocr-doc-parsing through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 11 files from openclaw/skills.

What does a score of 75 mean?

ClawSecure assigned paddleocr-doc-parsing a security score of 75/100, placing it in the Medium Risk range. This reflects 5 findings led by Unauthorized Tool Use that warrant review before production use. 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 paddleocr-doc-parsing

ClawSecure detected 5 security findings in paddleocr-doc-parsing, spanning Unauthorized Tool Use, Social Engineering, Policy Violation and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for paddleocr-doc-parsing

Resolve policy violations
paddleocr-doc-parsing trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.
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.
Eliminate dynamic code execution
paddleocr-doc-parsing evaluates code at runtime (for example eval or dynamic exec). Remove dynamic evaluation of untrusted input, and where code generation is unavoidable, sandbox it and validate every input.
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

OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security StandardsUnderstanding Our 3-Layer Audit ProtocolHow to Secure an MCP Server: The 2026 Guide

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Scanned on March 12, 2026. paddleocr-doc-parsing 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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