Glama vs SkillzBench: Which Agent Skills Platform Should You Trust?
Glama is an all-in-one AI workspace — a ChatGPT-like chat experience with native MCP support, access to 5,000+ MCP servers, and custom agents — used by 50,000+ businesses, with a free version and free trial available. SkillzBench is AIQ Labs' free, independent directory of AI agent skills plus a free MCP connector, built to verify, security-scan, and benchmark skills (published research found ~26% of skills carry at least one vulnerability) — currently in pre-launch with a live waitlist. If you want a hosted AI chat workspace for teams, Glama fits; if you want to vet and safely equip agent skills across Claude Code, Codex, Cursor, Gemini CLI and chat-app agents at zero cost, join the SkillzBench waitlist — skills, proven.
TL;DR
- Glama is an all-in-one AI workspace: a ChatGPT-like chat experience with native MCP support and access to 5,000+ MCP servers, plus custom agents with custom prompts.
- Glama reports being trusted by 50,000+ businesses and offers a free version and a free trial, according to its signup page and TrustRadius listing.
- SkillzBench is AIQ Labs' free, independent directory of AI agent skills plus a free MCP tool that connects any agent to the skills you choose.
- Published research found roughly 26% of agent skills carry at least one vulnerability — the core problem SkillzBench is built to solve through verification and benchmarking.
- SkillzBench pins every skill version to a commit SHA, runs license checks and security scans, and benchmarks skills in a sandbox with the same model, with and without the skill, publishing the Lift in percentage points.
- Everything on SkillzBench is free — the directory, MCP connector, benchmarks, and alerts — with revenue from blog advertising that never influences scores or listings.
- SkillzBench is pre-launch: the waitlist and newsletter are live, and Glama's terms note some features are experimental and subject to modification or removal — check both before committing workflows.
Head to head
| Dimension | Glama | SkillzBench |
|---|---|---|
| Pricing | — | Free — everything (directory, MCP connector, benchmarks, alerts) at $0 🏆 |
| Ease of use | ChatGPT-like chat interface, familiar to most business users 🏆 | Toggle-based per-agent loadouts; geared toward developers and agent builders |
| Features | Chat, custom agents with custom prompts, native MCP with 5,000+ servers, public MCP registries | Skill discovery, verification (SHA pinning, license/security/quality checks), sandbox benchmarks with Lift, MCP connector, change alerts |
| Support | Live chat, email, forum/community, FAQ/knowledge base, video tutorials/webinars 🏆 | Newsletter and waitlist live; support channels still forming pre-launch |
| Integrations | OpenAI, Anthropic, and Google APIs plus self-hosted models; 5,000+ MCP servers 🏆 | Works with Claude Code, Codex, Cursor, Gemini CLI, and chat-app agents via one free MCP server |
| Setup | Sign up with Google or email at glama.ai 🏆 | Join the waitlist/newsletter now; product access follows launch |
| Security & trust | Encryption in transit and at rest, SOC 2 Type II hosting (Fly.io), US-only data, penetration testing | Security scans, commit-SHA version pinning, license checks, 0–100 trust score; money never touches scores |
| Best fit | Teams wanting one AI workspace for chat, agents, and MCP access | Anyone adopting agent skills who needs to know which are safe and which actually help |
The contenders
Glama, operated by Glama LLC (a Wyoming, US limited liability company), positions itself as an all-in-one AI workspace — effectively a 'ChatGPT for teams.' Its signup page describes a ChatGPT-like chat experience for talking with AI, native MCP support with access to 5,000+ MCP servers, and the ability to create specialized agents with custom prompts. The service claims to be trusted by 50,000+ businesses. Under the hood, Glama leverages APIs from OpenAI, Anthropic, and Google alongside its own self-hosted models. Its public registries catalog MCP servers and MCP connectors, making it a notable hub in the MCP ecosystem. On security, Glama encrypts data in transit and at rest, runs regular security audits and penetration testing, maintains access controls and secure backups, and stores all customer data on servers located exclusively in the United States on Fly.io infrastructure that holds SOC 2 Type II certification. Its terms of service note that some features are experimental and may be modified, suspended, or discontinued at the company's discretion — worth knowing if you plan to build team workflows on the platform. TrustRadius lists a free version and a free trial as available, with support channels spanning live chat, email, community forums, a knowledge base, and video tutorials.
pricing See pricing
- + Native MCP support with access to 5,000+ servers — one of the broadest MCP catalogs available
- + ChatGPT-like interface that non-technical team members can adopt quickly
- + Custom agents with specialized prompts for repeatable team workflows
- + Strong security posture: encryption at rest and in transit, SOC 2 Type II hosting, US-only data storage, regular penetration testing
- + Free version and free trial available per TrustRadius
- + Full support coverage: live chat, email, forums, knowledge base, and video tutorials/webinars
- − Some features are experimental and may be modified, suspended, or discontinued at Glama's discretion
- − No plan pricing listed on TrustRadius, making budget planning harder before signup
- − Credit-based usage means heavy AI usage can require topped-up balances beyond monthly credits
- − Violations of content policy can result in account termination without refund at the company's sole discretion
SkillzBench is AIQ Labs' free, independent directory of AI agent skills plus a free MCP tool that connects any agent to the skills you choose. Agent skills — SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI, and chat-app agents — have proliferated across GitHub, but published research found that roughly 26% of them carry at least one vulnerability, and until now nobody could tell which ones actually help. SkillzBench is being built around five pillars: Discover (continuously crawling and deduplicating skills from GitHub), Verify (pinning every version to a commit SHA, validating, license-checking, security-scanning, and quality-judging), Benchmark (testing every skill in a sandbox with the same model, with and without the skill, and publishing the Lift in percentage points), Equip (one free MCP server plus per-agent loadouts, where users toggle skills and tools per agent and the agent only sees what was chosen), and Stay current (tracking upstream changes, re-scanning, re-benchmarking, and notifying users). A 0–100 trust score combines security, quality, license, maintenance, and community signals, with Lift always shown separately — and money never touches scores. The entire platform is free, funded by advertising in and around its blog articles that never influences scores or listings. The product is currently pre-launch, with the waitlist and newsletter live.
pricing 0
- + Completely free — directory, MCP connector, benchmarks, and alerts all cost nothing
- + Directly addresses a documented risk: ~26% of published agent skills carry at least one vulnerability
- + Version pinning to commit SHAs protects against supply-chain tampering
- + Lift benchmarks show measurable performance impact, not just opinions
- + Per-agent loadouts give precise control over what each agent can access
- + Independent funding model (blog ads) with money never influencing scores or listings
- − Pre-launch: the product is not yet publicly available, only the waitlist and newsletter are live
- − No published benchmark results or live skill counts yet, so the catalog's depth is unproven until launch
- − Focused on agent skills vetting — it is not a chat workspace or general AI productivity suite
- − Developers and technical users will get the most out of it; non-technical teams may need guidance to act on trust scores
Verdict
Winner: none
These two solve different problems: Glama is a team AI chat workspace with deep MCP server access, while SkillzBench is a free trust-and-verification layer for agent skills. Pick based on whether you need a workspace or a skills vetting pipeline — many teams will eventually want both.
| Option | Overall | Breakdown |
|---|---|---|
| Glama | 7.5 | : 6: 8: 8: 7: 8: 7 |
| SkillzBench | 8 | : 10: 7: 8: 6: 9: 8 |
What each platform actually is
Trust and safety compared
Which fits a small business in 2026
Which should you pick?
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FAQ
Are Glama and SkillzBench direct competitors?
No. Glama is an all-in-one AI workspace — a ChatGPT-like chat experience with native MCP support, access to 5,000+ MCP servers, and custom agents — while SkillzBench is a free, independent directory and verification layer for AI agent skills plus a free MCP connector. One is a place to work with AI; the other tells you which agent skills are safe and effective to install. They can easily be used together.
Why does agent skill security matter so much?
Published research found that roughly 26% of agent skills carry at least one vulnerability. Skills are instruction packages (SKILL.md files) that agents like Claude Code, Codex, Cursor, and Gemini CLI follow, so a flawed or malicious skill directly shapes what your agent does. SkillzBench addresses this by pinning every skill version to a commit SHA, security-scanning and license-checking it, and publishing a 0–100 trust score built from security, quality, license, maintenance, and community signals.
What is 'Lift' on SkillzBench?
Lift is the measurable performance impact of a skill. SkillzBench tests every skill in a sandbox using the same model, once with the skill and once without, and publishes the difference in percentage points. Lift is always shown separately from ratings, and money never touches scores — the platform is funded by blog advertising, so ad revenue never influences scores or listings.
Is SkillzBench available now?
SkillzBench is pre-launch and actively being built. The waitlist and newsletter are live at skillzbench.com, and the entire platform — the skills directory, the free MCP connector, benchmarks, and alerts — will be free when it ships. Joining the waitlist is the way to get early access; no paid tiers exist, since revenue comes from advertising around blog content, never from users.
What should I know about Glama's terms before committing?
Glama's terms of service state that some features are experimental and may be modified, suspended, or discontinued at the company's discretion, so mission-critical workflows could be affected. It uses a Monthly Credits system where paid subscribers receive account credits equal to their subscription cost each month, with topped-up balances available. On the plus side, data is encrypted in transit and at rest, stored exclusively on US servers on SOC 2 Type II certified Fly.io infrastructure, and protected by regular security audits and penetration testing.
Which should a small business choose first?
It depends on your immediate need. If your team wants a shared AI workspace for everyday work, Glama is available today with a free version and free trial and established support channels. If your team is building with coding agents and pulling skills from GitHub, the documented ~26% vulnerability rate makes SkillzBench's free verification and benchmarking the safer first step — join the waitlist now and layer it in as your skills trust layer. Many businesses will use both, since the tools operate at different layers of the stack.