AI Agent Skills Marketplace Comparison 2026
A comparison of AI agent skills marketplaces in 2026. What each offers, how they differ on security, pricing, and agent compatibility.
Quick Answer: Agensi leads on security scanning (8-point automated audit) and curation; other marketplaces in this space include community-run GitHub collections and first-party vendor catalogs. All support SKILL.md. Agensi is the only curated marketplace with creator payouts via Stripe Connect and one-time-purchase ownership.
| Marketplace | Agensi | Anthropic Plugin Marketplace | GitHub | npm/community |
|---|---|---|---|---|
| Curation | Editorial review + automated scan | Anthropic-curated | None | None |
| Security scanning | Yes — 8-point automated scan on every submission | Yes (Anthropic-internal) | No | No |
| Creator revenue | 80% of paid skill price | — (free distribution) | — | — |
| Cross-agent support | Universal (SKILL.md standard) | Claude products | Depends on author | Depends on author |
| Pricing model | One-time purchase or free, plus optional MCP subscription | Free | Free | Free |
The SKILL.md ecosystem has grown enough that multiple marketplaces now compete for developers' attention. If you're looking for skills for Claude Code, OpenClaw, or other AI coding agents, here's how the major options compare in 2026.
What to look for in a skills marketplace
Before comparing specific platforms, the criteria that matter most are:
Security review process. Do they scan skills before listing? Can you trust what you install?
Agent compatibility. Does the platform test skills across Claude Code, OpenClaw, Codex CLI, Cursor, and other agents?
Discovery and organization. Can you find what you need quickly? Are skills categorized and searchable?
Creator support. If you build skills, can you sell them? What's the revenue split?
See SKILL.md in action
code-reviewer
FreeRun a structured code review on your recent changes without waiting for a teammate. This skill checks for security vulnerabilities (SQL injection, XSS, authentication bypasses), logic errors, edge cases, performance issues, and style violations.Findings are organized by severity: Critical, Warning, and Suggestion. Each finding includes the file, line number, a description of the issue, and a concrete fix. Use it as a first pass before peer review, or as your only reviewer on solo projects.
Get this skillgit-commit-writer
FreeStop writing vague commit messages. This skill reads your actual staged diff and generates precise, informative commit messages following the Conventional Commits specification. It detects the commit type (feat, fix, refactor, docs, chore, etc.), identifies the scope from the changed files, flags breaking changes, and suggests splitting commits when multiple logical changes are staged. Works with any git repository.`
Get this skillreadme-generator
FreePoint this skill at any project and it generates a real README from your actual codebase. It scans package.json, pyproject.toml, Cargo.toml, or equivalent to detect your language, framework, and dependencies. It reads your .env.example for setup instructions, checks for Dockerfiles and CI config, and produces a README with only the sections that apply to your project. No placeholder text, no generic filler. Every line is derived from what it actually finds in your repo.
Get this skillAgensi
Agensi is a dedicated marketplace focused specifically on SKILL.md skills. Key features:
Every skill passes an automated 8-point security scan covering prompt injection, data exfiltration, unauthorized network access, dangerous commands, secret detection, and obfuscation.
Skills are organized across categories: code review, git automation, documentation, DevOps, testing, frontend design, API development, and productivity.
Supports paid skills with Stripe Connect payments. Creators keep 80% of revenue.
Works with Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other SKILL.md-compatible agents.
Currently has 44+ skills live with new submissions weekly.
skillmd.io
skillmd.io is a registry that focuses on discovery and evaluation. It pulls skills from GitHub and other sources, provides "skill snapshots" for quick evaluation, and categorizes them by function.
It's more of a directory than a marketplace — there's no built-in purchase flow or creator monetization. Skills link back to their source (usually GitHub).
Useful for browsing what exists in the ecosystem, but you'll need to evaluate security yourself since there's no scanning pipeline.
GitHub
GitHub is the largest source of SKILL.md skills by volume. Search filename:SKILL.md to find thousands of community-published skills.
The advantage is volume and variety. The disadvantage is no curation, no security scanning, and no quality guarantee. You're responsible for reading and evaluating every skill before installing it.
For teams, GitHub is a good place to host internal skills in private repositories.
Claude Code plugin marketplace
Claude Code's built-in /plugin system provides Anthropic's official skills and approved community plugins. The selection is curated but limited compared to external marketplaces.
The advantage is tight integration — install without leaving your terminal. The disadvantage is that the catalog is smaller and there's no paid skill support.
Which should you use?
For most developers, a combination works best:
Use Agensi for production-ready, security-scanned skills that you'll use daily. The security scanning alone saves you the work of evaluating every skill manually.
Use GitHub for finding niche or experimental skills that haven't made it to a marketplace yet.
Use Claude Code's plugin marketplace for official Anthropic skills and built-in capabilities.
If you're a skill creator who wants to monetize your work, Agensi is currently the main platform that supports paid skills with built-in payments.
Browse and compare skills on Agensi.
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