memoriant-eval-sandbox-skill

Saved declaration

{}

Saved declaration

{
  "name": "memoriant-eval-sandbox-skill",
  "source": {
    "sha": "0b002e210d7f0e528736461c19811b92d7f2e6f6",
    "url": "https://github.com/NathanMaine/memoriant-eval-sandbox-skill.git",
    "source": "url"
  },
  "homepage": "https://github.com/NathanMaine/memoriant-marketplace",
  "description": "AI agent evaluation sandbox for Claude Code. Holdout scenario testing with Doer/Judge/Adversary/Observer roles, probabilistic satisfaction scoring, and append-only JSONL audit trails with integrity hashes. Test your agents before deploying them. Includes full Python evaluation framework."
}

Skills

"./skills/"

Agents

"./agents/"

Saved declaration

{
  "name": "memoriant-eval-sandbox-skill",
  "agents": "./agents/",
  "author": {
    "url": "https://github.com/NathanMaine",
    "name": "Nathan Maine"
  },
  "skills": "./skills/",
  "license": "MIT",
  "version": "1.0.0",
  "homepage": "https://github.com/NathanMaine/agentic-evaluation-sandbox",
  "keywords": [
    "evaluation",
    "agent-testing",
    "red-team",
    "compliance",
    "audit",
    "doer-judge",
    "adversarial",
    "scenario",
    "regression"
  ],
  "repository": "https://github.com/NathanMaine/memoriant-eval-sandbox-skill",
  "description": "Scenario-driven AI agent evaluation: Doer/Judge/Adversary/Observer multi-role simulations, probabilistic satisfaction scoring, append-only JSONL audit trails with integrity hashes, and holdout evaluation methodology. 1 skill + 1 specialized agent."
}