Question 1

What exactly is a curated agent loadout for product managers?

Accepted Answer

A loadout is a hand-picked set of verified SKILL.md instruction packages and tools assigned to a specific agent. With SkillzBench you toggle skills and tools per agent through one MCP server, and the agent only sees what was chosen — keeping each agent focused instead of drowning in 20-30 tools.

Question 2

How does SkillzBench decide which skills are safe to install?

Accepted Answer

Every skill goes through the Verify pillar: the version is pinned to a commit SHA, then validated, license-checked, security-scanned, and quality-judged. Results feed a 0-100 trust score built from security, quality, license, maintenance, and community signals — and money never touches scores.

Question 3

Does SkillzBench work with Claude Code, Cursor, and Gemini CLI?

Accepted Answer

Yes — SkillzBench focuses on SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI, and chat-app agents. The Agent Skills standard is supported by 25+ agent frameworks, and the Equip pillar delivers one MCP server with per-agent loadouts across your stack.

Question 4

When can I actually use SkillzBench?

Accepted Answer

SkillzBench is pre-launch and actively being built. The waitlist and newsletter are live now, so you can sign up to get early access. At launch, scope covers instruction-only skills (SKILL.md plus text references); script-bearing skills are listed link-out only.

Question 5

How is SkillzBench different from just browsing GitHub for skills?

Accepted Answer

GitHub gives you raw, unvetted packages — and ~of skills carry at least one vulnerability. SkillzBench crawls and dedupes skills from GitHub, then verifies, benchmarks, and scores each one. You get a trust score, a published Lift measured with and without the skill in a sandbox, and version pinning — none of which a repo search provides.

Curated Agent Loadouts for Product Managers