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social-post Security Audit Report

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social-post is an AI agent skill, created by callmedas69 and published at callmedas69/social-post. ClawSecure audited social-post across 14 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 65/100 (Medium Risk). The 7 findings concentrate in Command Injection, Unauthorized Tool Use and Permissions Manifest, including Skill code uses network libraries but doesn't declare network... and Variable $USDC_BALANCE (line 52) flows to `python3` at line 59.. None were rated high or critical severity.

Is social-post safe?

ClawSecure audited social-post and assigned a security score of 65/100 (Medium Risk), identifying 7 findings across Command Injection and Unauthorized Tool Use. Review the findings below before installing.

What did ClawSecure find in social-post?

ClawSecure identified 7 findings in social-post, concentrated in Command Injection, Unauthorized Tool Use and Permissions Manifest. The most severe include Skill code uses network libraries but doesn't declare network... and Variable $USDC_BALANCE (line 52) flows to `python3` at line 59..

How was social-post audited?

ClawSecure ran social-post through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 14 files from callmedas69/social-post.

What does a score of 65 mean?

ClawSecure assigned social-post a security score of 65/100, placing it in the Medium Risk range. This reflects 7 findings led by Command Injection 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 social-post

ClawSecure detected 7 security findings in social-post, spanning Command Injection, Unauthorized Tool Use and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for social-post

Harden command execution
social-post 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.
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 Protocol

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Scanned on May 4, 2026. social-post 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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