Question 1

How does SkillzBench avoid the task validity and seed noise problems plaguing AI agent benchmarks?

Accepted Answer

SkillzBench's Benchmark pillar tests every skill in a sandbox with the same model, with and without the skill, and publishes the Lift in percentage points. Because the comparison is controlled and the skill version is pinned to a commit SHA, the measured difference reflects the skill's contribution rather than scaffold variance or run-to-run noise.

Question 2

What is the Trust score and how is it calculated?

Accepted Answer

The Trust score runs from 0-100 and combines security, quality, license, maintenance and community signals gathered during the Verify pillar. Lift — the measured performance improvement — is always shown separately from ratings, and money never touches scores.

Question 3

Can I use SkillzBench skills with Claude Code, Codex, Cursor and Gemini CLI?

Accepted Answer

Yes — SkillzBench is built around SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI and chat-app agents. The Equip pillar provides one MCP server plus per-agent loadouts, so you toggle skills and tools per agent and each agent only sees what was chosen. Launch scope covers instruction-only skills; script-bearing skills are listed link-out only.

Question 4

Is SkillzBench live yet, and when can students start using it?

Accepted Answer

SkillzBench is pre-launch and actively being built — the waitlist and newsletter are live, but the product is not yet public. Join the waitlist now to be notified when Discover, Verify, Benchmark, Equip and Stay current go live.

Question 5

How is SkillzBench different from GitHub trending lists or community skill marketplaces?

Accepted Answer

Marketplaces and trending lists show popularity, not proof. SkillzBench independently crawls and dedupes skills from GitHub, pins every version to a commit SHA, security-scans and license-checks it, benchmarks it in a controlled sandbox, and publishes the Lift in percentage points — with money never touching scores.

Agent Skill Benchmarking for Students