skeallAgent Skills (SKILL.md) builder, auditor, and improver for cross-platform LLM agents. Use for "skeall", "build a skill", "create skill", "improve skill", "au...
Install via ClawdBot CLI:
clawdbot install dorukardahan/skeallGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.home-proxy.internal/v1/lightsCalls external URL not in known-safe list
https://agentskills.ioAI Analysis
The skill's primary purpose is skill development and auditing, which aligns with the external call to agentskills.io (a known standard documentation site). The high-risk signal points to an internal home-proxy endpoint, which appears to be a placeholder example for skill auditing demonstrations, not an active data exfiltration target.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A team building cross-platform AI agents needs to create standardized skill packages that work across different LLM platforms. They use Skeall to scaffold new skills, ensure compliance with Agent Skills standards, and audit existing skills for compatibility issues before deployment.
A company integrating AI agents into their workflow uses Skeall to audit and improve custom skills for tasks like data analysis or customer support. The tool helps identify security risks, optimize content for LLM-friendliness, and ensure skills are maintainable across teams.
A community maintaining a public repository of AI agent skills uses Skeall to batch scan all skills for standards compliance. It automates checks for frontmatter errors, redundant content, and cross-platform issues, streamlining updates and quality assurance.
A consultant creating custom AI skills for clients uses Skeall to quickly scaffold and refine skills based on client requirements. The interview process ensures skills are tailored to specific triggers and complexity levels, while audits prevent common pitfalls like oversized files or persona-based framing.
In a workshop teaching AI agent development, instructors use Skeall to demonstrate skill creation and auditing. Participants learn to build compliant skills, use progressive disclosure with reference files, and apply best practices for cross-platform compatibility.
Offer Skeall as a cloud-based service with advanced analytics and collaboration features. Teams can automate skill audits, track compliance scores over time, and integrate with CI/CD pipelines for continuous skill improvement, charging subscription fees based on usage tiers.
License Skeall to large organizations for internal AI skill management. Include premium support, custom rule sets for industry-specific standards, and integration with existing development tools, generating revenue through annual contracts and maintenance fees.
Build a marketplace where users can share and sell Skeall-audited skills. Revenue comes from transaction fees on skill sales, premium listings for verified skills, and optional consulting services for custom skill development and optimization.
💬 Integration Tip
Integrate Skeall into existing development workflows by using its CLI commands in CI/CD pipelines to automatically audit skills on commit, ensuring compliance and reducing manual review overhead.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
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