This is the framework you need when your agent works great in demos but falls apart in production. It gives you statistical evaluation patterns that run tests multiple times to catch stochastic behavior, plus behavioral contract testing to enforce hard boundaries on what agents can and cannot do. The statistical evaluator calculates pass rates with confidence intervals, tracks behavior consistency across runs, and flags concerns like high variance or unstable outputs. The behavioral contract pattern is especially useful for production agents where you need guarantees about tone, scope, or safety. Remember that even top agents score under 50% on real world benchmarks, so this focuses on the metrics that actually matter for reliability.

skills.sh installs
815
GitHub stars
43.1K
last updated
Jul 14, 2026

Install

$ npx -y skills add sickn33/antigravity-awesome-skills --skill agent-evaluation --agent claude-code

Installs into .claude/skills of the current project.

Files

Agent Evaluation

Evaluate observable agent behavior against task-specific cases. Modified by AAS maintainers on 2026-09-05 to remove unsupported benchmark claims, correct uncertainty/error reporting and separate optional architecture sketches from the operating procedure.

When to Use

Use when comparing a changed agent, prompt or tool configuration, reproducing an observed failure, or estimating reliability on a declared task distribution. Do not infer product readiness from a public benchmark percentage or a generic score threshold.

Prerequisites

  • A versioned case set with expected observable outcomes and permission boundaries.
  • A known baseline and candidate revision, including model, prompt, tools, configuration and runtime versions.
  • Authorized synthetic or redacted inputs, isolated targets and a bounded token, time and cost budget.
  • A verifier that distinguishes wrong outcomes, expected safe rejections, evaluator failures and infrastructure outages. Provider access is needed only if the declared evaluation calls that provider.

Evaluation procedure

Sponsors

Details

Repository
github.com/sickn33/antigravity-awesome-skills
Category
AI & Agent Building
First seen
May 16, 2026

More from sickn33/antigravity-awesome-skills

All 708
1sickn33 avataragent-manager-skillsickn33/antigravity-awesome-skillsagent manager skill814skills.sh installs
2aradotso avatark-skill-korean-ai-toolsaradotso/trending-skillsk skill korean ai tools799skills.sh installs
3affaan-m avatarito-data-atlas-agentaffaan-m/everything-claude-codeito data atlas agent794skills.sh installs
4aradotso avatarsecurity-detections-mcparadotso/security-skillssecurity detections mcp754skills.sh installs
5ruvnet avatarvector-searchruvnet/rufloVector search via embeddings_* (large-scale HNSW) and ruvllm_hnsw_* (WASM router for ≤11 hot patterns), with RaBitQ 1-bit quantization for 32× memory reduction752skills.sh installs
6skillcreatorai avatarbackend-developmentskillcreatorai/ai-agent-skillsbackend development749skills.sh installs