evolution-drift-detectorHelps detect when AI agent skills silently mutate across inheritance chains. A skill audited safe in generation 1 may drift far from the original by generati...
Install via ClawdBot CLI:
clawdbot install andyxinweiminicloud/evolution-drift-detectorGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
Marketplace operators use this skill to automatically flag skills that have evolved beyond their original audited scope, ensuring safety badges remain accurate. It helps maintain trust by identifying skills needing re-audit before they cause security incidents.
Large organizations deploy this detector to monitor internal AI skill libraries for unintended capability drift, ensuring compliance with data privacy policies. It alerts teams when skills gain network access or other risky features without proper review.
Developers in open-source communities use the skill to track forks and modifications of shared AI skills, preventing silent mutations that could introduce vulnerabilities. It provides lineage reports to coordinate updates and re-audits across contributors.
Insurers leverage the drift detector to assess risk profiles of AI agents by analyzing skill evolution histories. It helps quantify exposure from skills that have drifted into higher-risk categories, such as gaining network access.
Researchers employ this tool to study evolutionary patterns in AI skill ecosystems, analyzing how benign changes accumulate into significant drift. It supports studies on mutation classification and audit decay over time.
Offer a cloud-based service where companies pay a monthly fee to scan their AI skill portfolios for drift. Includes dashboards, alerts, and integration with CI/CD pipelines for continuous monitoring.
License the detector to AI agent marketplaces as a built-in security feature, charging per scan or a flat fee. Enhances marketplace credibility by providing automated drift reports to users.
Provide professional services using the detector to conduct in-depth drift analyses for clients, followed by manual re-audits and remediation plans. Targets high-stakes industries like finance.
💬 Integration Tip
Integrate with version control systems and CI/CD pipelines to automatically trigger drift checks on skill updates, ensuring real-time detection without manual intervention.
Scored Apr 19, 2026
Manage and operate ClawSec Monitor v3.0, a MITM HTTP/HTTPS proxy that logs AI agent traffic, detects exfiltration and injection threats in real time.
Command-line security analyzer for ClawHub skills. Run analyze-skill.sh to scan SKILL.md files for malicious patterns, credential leaks, and C2 infrastructure before installation. Includes threat intelligence database with 20+ detection patterns.
Scan Clawdbot and MCP skills for malware, spyware, crypto-miners, and malicious code patterns before you install them. Security audit tool that detects data exfiltration, system modification attempts, backdoors, and obfuscation techniques.
577+ pattern prompt injection defense. Now with typo-tolerant bypass detection. TieredPatternLoader fully operational. Drop-in defense for any LLM application.
Security scanner for ClawHub skills. Vet third-party skills before installation — detect dangerous patterns, suspicious code, and risky dependencies.
Security audit and hardening for AI agents — credential hygiene, secret scanning, prompt injection defense, data leakage prevention, and privacy zones.