AI Agent Skills Marketplace

Automated governance and risk audit for AI agent tool permissions and authentication boundaries.

business-ai-governance-mesh

by Roy Yuen

$7

or 35 cr

A modular governance framework for AI policy, agent risk assessment, human-in-the-loop approvals, and audit trails.

context-discipline

by Roy Yuen

$6

or 30 cr

Enforce explicit context discipline, artifact-gated transitions, and verification evidence for AI agent workflows.

A rigorous 8-phase validation pipeline to audit environment, security, data migrations, and API stability before deploy.

Design deterministic Mesh Flow guardrail topologies and verifier contracts for complex multi-agent AI systems.

Automate professional review replies, sentiment analysis, and reputation reporting with built-in policy safety.

A security gate that intercepts sensitive agent actions like payments and deletes for mandatory human approval.

Production-safe database migrations with zero-downtime strategies, batch backfilling, and multi-ORM support.

Automated 8-point pre-deployment safety audit to catch breaking migrations, missing env vars, and CVEs.

Professional audit trails, decision tracking, and human-in-the-loop safety for autonomous AI agent teams.

slice-guard

by Roy Yuen

$7

or 35 cr

Enforce small, verified, and rollback-safe code increments to prevent AI scope creep and broken builds.

Scan AI agent skill definitions for malicious instructions, prompt injections, and security risks—locally.

E-Shield

by Sir Benjamin

$20

or 100 cr

A high-performance ethical guardrail and IP protection layer for safeguarding AI reasoning and core logic.

Automated security auditing and risk assessment for Model Context Protocol (MCP) servers.

A disciplined, safety-first framework for refactoring legacy codebases using incremental modernization patterns.

A safety-first framework for professional database modeling, zero-downtime migrations, and risk-aware schema evolution.

Adaptive GDPR, CCPA, security, and AI compliance audit with severity-graded findings and law citations

A systematic framework for risk-aware dependency upgrades, breaking change analysis, and safe execution.

A lightweight defensive layer that prunes hallucinations and boosts reasoning quality for 8k-32k context agents.

A rigorous, safety-first framework for planning and executing code changes in complex or production environments.

Turn erratic AI tool calls into a reliable, verified, and safe execution strategy.

A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.

skill-install-safety-gate

by Roy Yuen

Free

Automated security and compatibility firewall for installing AI agent skills and Codex/OpenClaw packages.

Windows Desktop Automation Architect for AI Coding Agents

by Shandra

$9.99

or 50 cr

Designs robust Windows desktop automation workflows using pywinauto, UI Automation, hotkeys, image matching, OCR, retries, logging, screenshots, and safety controls.