loom-workflow Security Audit Report

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loom-workflow is an AI agent skill, created by g9pedro and published at openclaw/skills. ClawSecure audited loom-workflow across 7 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 35/100 (High Risk). The 7 findings concentrate in Data Exfiltration, Policy Violation and Permissions Manifest, including Pattern detected: base64.b64encode and Pattern detected: open(manifest_path). 5 were rated high or critical severity.

Is loom-workflow safe?

ClawSecure audited loom-workflow and assigned a security score of 35/100 (High Risk), identifying 7 findings across Data Exfiltration and Policy Violation. Review the findings below before installing.

What did ClawSecure find in loom-workflow?

ClawSecure identified 7 findings in loom-workflow, concentrated in Data Exfiltration, Policy Violation and Permissions Manifest. 5 were rated high or critical severity. The most severe include Pattern detected: base64.b64encode and Pattern detected: open(manifest_path).

How was loom-workflow audited?

ClawSecure ran loom-workflow through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 7 files from openclaw/skills.

What does a score of 35 mean?

ClawSecure assigned loom-workflow a security score of 35/100, placing it in the High Risk range. This is driven by 7 findings led by Data Exfiltration that should be addressed before 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 loom-workflow

ClawSecure detected 7 security findings in loom-workflow, spanning Data Exfiltration, Policy Violation and Permissions Manifest.

critical · Pattern detected: base64.b64encode. Data Exfiltration finding detected in scripts/analyze-workflow.py:51.
high · Pattern detected: open(manifest_path). Data Exfiltration finding detected in scripts/analyze-workflow.py:171.
high · Pattern detected: open(manifest_path). Data Exfiltration finding detected in scripts/analyze-workflow.py:238.
high · Pattern detected: open(analysis_path). Data Exfiltration finding detected in scripts/generate-lobster.py:158.
high · Pattern detected: open(json_path). Data Exfiltration finding detected in scripts/smart-extract.py:56.
medium · Missing config.json - agent may not be properly configured. Permissions Manifest finding.
info · Skill manifest does not include a 'license' field. Specifying a license.... Policy Violation finding detected in SKILL.md.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for loom-workflow

Audit external network connections

loom-workflow sends data to external endpoints. Confirm each destination is expected and authorized, and remove any callback that exfiltrates data. ClawSecure monitors for known exfiltration and C2 endpoints.

Resolve policy violations

loom-workflow 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.

Related Security Research

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Scanned on February 7, 2026. loom-workflow 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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