Local Skill Inventory Scanning

via “skill discovery and search via web application”

Installable GitHub library of 1,400+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and more. Includes installer CLI, bundles, workflows, and official/community skill collections.

Unique: Implements a Vite-based React SPA that indexes pre-generated skill metadata from skills_index.json and provides faceted search/filtering across 9 skill categories, platform compatibility, and tags. Uses client-side full-text search for instant results without backend infrastructure.

vs others: Provides a visual, interactive discovery experience that lowers the barrier to entry compared to CLI-only skill libraries; faceted filtering by platform makes it easy to find skills compatible with your specific AI assistant.

via “skill discovery with trust-level filtering”

Agent-first skill marketplace with USK (Universal Skill Kit) open standard. Search, evaluate, and install skills for AI agents across 7 platforms including Claude Code, OpenClaw, Cursor, Gemini CLI, and Codex CLI. Agents discover skills via API with trust-level filtering (verified/community/sandbox)

Unique: Utilizes the USK standard for skill categorization, allowing agents to filter skills by trust level without authentication barriers.

vs others: More flexible than traditional marketplaces by allowing anonymous access to skill data while maintaining trust levels.

via “agent skill malware and supply chain vulnerability detection”

Security scanner for AI agents, MCP servers and agent skills.

Unique: Combines static code analysis, signature-based malware detection, and dependency auditing specifically for agent skills; integrates with Snyk vulnerability database for known CVEs and provides skill-specific risk scoring beyond generic SAST

vs others: Detects agent skill-specific risks (untrusted third-party access, sensitive data handling in skill context) that generic dependency scanners miss by understanding agent execution models and data flow patterns

via “local-skill-inventory-scanning”

Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply chain attacks, test prompt injection resistance, and audit live MCP servers for tool poisoning.

Unique: Performs offline, filesystem-based skill enumeration with threat pattern matching against a curated dangerous-operations database, enabling detection of risky capabilities before they're exposed to untrusted LLM inputs — unlike cloud-based security scanners that require uploading agent configs

vs others: Faster and more privacy-preserving than cloud-based agent security scanners because it runs entirely locally without transmitting skill definitions or configurations to external services

via “skill marketplace and community sharing”

44 plug-and-play skills for OpenClaw — self-modifying AI agent with cron scheduling, security guardrails, persistent memory, knowledge graphs, and MCP health monitoring. Your agent teaches itself new behaviors during conversation.

Unique: Creates a marketplace specifically for agent skills with built-in security scanning and dependency resolution, enabling community-driven skill ecosystem development

vs others: More specialized than generic package registries (PyPI) because it includes skill-specific metadata, compatibility checking, and security scanning for agent skills

via “skill registry and discovery system”

| Free/Paid |

Unique: unknown — insufficient data on skill metadata schema, versioning strategy, or how skills are validated before registry inclusion

vs others: unknown — no information on registry size, update frequency, or curation model vs competitor platforms

via “skill-assessment-and-profiling”

via “skill-development-tracking”

via “skills inventory and gap analysis”

via “skill-gap-analysis”

via “skill-interest-aspiration profiling with multi-dimensional assessment”

Unique: Likely uses a localized skill taxonomy tailored to South Asian job markets (e.g., IT services, business process outsourcing, emerging tech hubs) rather than generic Western-centric skill frameworks, enabling more relevant matching for regional career contexts.

vs others: More culturally contextualized than generic tools like O*NET or LinkedIn Skills, but lacks transparency on taxonomy construction and validation against actual employer hiring signals.

via “scenario-based skill assessment”

via “performance-based-skill-assessment”