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SkillEvaluator 0.1.0 — Initial Public Release
SkillEvaluator is a multi-tier framework for evaluating AI agent skills:
- Tier 1 — Validation: deterministic quality gates (schema, PII, license, security scanners, and more)
- Tier 2 — Deduplication: semantic overlap and intra-skill redundancy checks
- Tier 3 — Live Evaluation: synthetic eval dataset generation and sandboxed agent runs via Harbor
Documentation: https://docs.nvidia.com/skills/skillevaluator/
Install
uv tool install --python 3.13 "skillevaluator[all] @ git+https://github.com/NVIDIA/SkillEvaluator.git@v0.1.0"
skillevaluator validate ./my-skill --checks schema,pii,license,quality,unicode,lint --no-dedupThe scoped check list above needs no API key. LLM-backed tiers and full security scanning require provider credentials and external tools — see the installation guide.
Highlights
- Full three-tier evaluation pipeline with a single CLI (
skillevaluator) - NVIDIA Build provider support with Nemotron defaults; also supports OpenAI, Anthropic, Bedrock, and OpenAI-compatible endpoints
- Tier 3 live evaluation via Harbor with OpenCode, Codex, and Claude Code paths
- Documentation site with 15 guides (installation, configuration, tiers, CI, CLI reference)
- Optional semantic-version validation in Tier 1 (
--previous-version) - DCO sign-off check in CI for contributor commits
Security
- Isolated NVIDIA Build credentials from vendor CLI and container processes
- Removed implicit host-side pytest execution from default Tier 1 code-integrity checks
- Hardened compatibility-bridge startup and local macOS Seatbelt policy
Full changelog
See CHANGELOG.md.