Item detail
github.com

vercel-labs/skills

RepoRadar surfaced vercel-labs/skills — a agent skills cli — into the AI Coding section, where it sits at Gold tier with a 'try now' verdict. Its strongest signal is workflow potential, scored 9.5 out of 10.

Score8.4
Popularity1.0
Riskconditional
TierGold
Score breakdown
Usefulness8.0
Novelty8.0
Momentum8.0
Maturity6.6
Open-source/build8.4
Evidence7.2
Workflow potential9.5
Setup ease8.8

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for developers who use multiple coding agents and want one portable way to ship and reuse skill packages, and for skill maintainers who want a single install surface that is not tied to a single vendor's marketplace.

Who should use it

Developers using multiple coding agents (Claude Code, Codex, Cursor, OpenCode) who want shared skillsSkill authors who want to ship one package instead of per-agent forksAgent platform teams evaluating a portable skill install surfacePower users who want to try community skills across agents without rewriting install steps

Who should skip it

Pass on vercel-labs/skills if its scope or audience does not match what your team is building right now.

About this signal

vercel-labs/skills is tracked by RepoRadar as a agent skills cli in the AI Coding section. It was first seen on 2026-06-30 and last updated on 2026-06-30. The current verdict is 'try now' with a Gold tier and easy setup difficulty. vercel-labs/skills leads on workflow potential (9.5) and setup ease (8.8); its lowest signal is maturity (6.6), so factor that in before investing setup time. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.

How this item is evaluated

RepoRadar assigned vercel-labs/skills a composite score of 8.4 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.

Putting this into practice? Read How to vet an AI agent or MCP server before you wire it in for the checklist behind this score.

Risk explanation

It rewrites per-agent config files and install paths, so audit the dry-run output before running it on a workstation that already has curated Claude Code or Codex skill installs; Trust in the skill source matters: `skills add owner/repo` runs whatever SKILL.md is in the repo, so prefer skills from publishers you already trust instead of treating it as a free-for-all marketplace.

Evidence links
Closest alternatives / related signals
agent-skillscliclaude-codecodexcursoropencodemit