openclaw-arbiterAudit installed skill permissions: detect network access, subprocess execution, file writes, unsafe deserialization, and environment variable usage. Permission matrix for every skill in your workspace. Free alert layer — upgrade to openclaw-arbiter-pro for revocation, quarantine, and policy enforcement.
Install via ClawdBot CLI:
clawdbot install atlaspa/openclaw-arbiterGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval(Calls external URL not in known-safe list
https://github.com/openclaw/openclawAI Analysis
The skill performs local security auditing of other skills and has no network calls in its core functionality, though it references an external GitHub URL in documentation. The main risk is the potential for unsafe shell commands in tool definitions, but this appears to be part of its auditing function rather than malicious behavior.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 1, 2026
Large organizations deploy AI agent skills across teams and need to ensure compliance with security policies. This skill audits all installed skills to detect unauthorized network access or subprocess execution, helping security teams enforce least-privilege principles and prevent data exfiltration risks.
Software development teams use AI coding assistants like Claude Code or Cursor with custom skills. This skill provides a quick status check before integrating new skills into CI/CD pipelines, ensuring no critical permissions like eval() or exec() are introduced that could compromise build environments.
In healthcare or government sectors, strict regulations govern data handling and system access. This skill performs full audits of AI agent skills to report file I/O and environment variable usage, enabling auditors to verify that skills do not inadvertently access sensitive patient records or confidential data.
Communities or platforms hosting AI agent skills need to vet third-party contributions for safety. This skill generates a permission matrix to publicly display risk categories per skill, helping users make informed decisions and maintainers flag high-risk submissions before distribution.
Educational institutions provide AI tools to students for learning programming. This skill audits single skills to detect unsafe operations like subprocess calls, allowing instructors to block skills with high-risk permissions and ensure a secure, controlled learning environment without external dependencies.
Offer a free version for basic audits and quick status checks, with premium tiers for advanced features like detailed reporting, integration APIs, and team management. Revenue comes from subscriptions for enterprises needing compliance dashboards and automated alerts.
Provide professional services to help organizations integrate this skill into their existing AI agent ecosystems, customize audits for specific regulatory needs, and conduct security training. Revenue is generated through project-based fees and ongoing support contracts.
Partner with AI agent marketplaces to offer skill auditing as a value-added service. Charge a fee per skill audit or a commission on sales for vetted skills, ensuring only safe skills are promoted, which builds trust and drives marketplace adoption.
💬 Integration Tip
Ensure Python3 is installed and set the correct workspace path; use the status command for a quick initial check before running full audits to avoid surprises.
Scored Apr 19, 2026
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