lead-researcher Security Audit Report

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lead-researcher is an AI agent skill, created by ClawHub Skill. ClawSecure audited lead-researcher across 5 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 93/100 (Safe). The 3 findings concentrate in Permissions Manifest, Obfuscation and Policy Violation, including Missing config.json - agent may not be properly configured and Hidden file found: .clawhub/origin.json. Hidden files may…. None were rated high or critical severity.

Is lead-researcher safe?

ClawSecure audited lead-researcher and assigned a security score of 93/100 (Safe), identifying 3 findings across Permissions Manifest and Obfuscation. Review the findings below before installing.

What did ClawSecure find in lead-researcher?

ClawSecure identified 3 findings in lead-researcher, concentrated in Permissions Manifest, Obfuscation and Policy Violation. The most severe include Missing config.json - agent may not be properly configured and Hidden file found: .clawhub/origin.json. Hidden files may….

How was lead-researcher audited?

ClawSecure ran lead-researcher through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 5 files.

What does a score of 93 mean?

ClawSecure assigned lead-researcher a security score of 93/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status; the 3 findings detected are lower-severity. 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 lead-researcher

ClawSecure detected 3 security findings in lead-researcher, spanning Permissions Manifest, Obfuscation and Policy Violation.

medium · Missing config.json - agent may not be properly configured. Permissions Manifest finding.
low · Hidden file found: .clawhub/origin.json. Hidden files may…. Obfuscation finding detected in .clawhub/origin.json.
info · Missing License Declaration. Policy Violation finding detected in SKILL.md.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for lead-researcher

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.

Review obfuscated or hidden code

lead-researcher contains obfuscated or hidden content that resists review. Inspect encoded, minified or hidden files to confirm they are not concealing unexpected behavior before installing.

Resolve policy violations

lead-researcher 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

How to Secure an MCP Server: The 2026 Guide→What Is MCP Security? Model Context Protocol Explained→Why Generic Scanners Fail at AI Agent Security→

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Scanned on October 24, 2026. lead-researcher 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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