create-dataset
claudeCreate evaluation datasets in JSON, CSV, or JSONL format for Dokimos
1 skill
Scaffold a new Evaluator implementation following Dokimos conventions
Plugin create-evaluator from marketplace dokimos in dokimos-dev/dokimos. Commands read from the repo's manifest — today.
create-evaluatorScaffolds a new Evaluator for the Dokimos LLM evaluation framework. Use this skill whenever the user wants to create, add, or implement a new evaluator, metric, or scoring function for evaluating LLM outputs. Also use when the user mentions adding evaluation criteria, custom metrics, or grading logi
Create evaluation datasets in JSON, CSV, or JSONL format for Dokimos
1 skill
Scaffold a Dokimos Experiment with dataset, task, evaluators, and reporter
1 skill
Scaffold eval-driven tests using dokimos-junit with @DatasetSource and Assertions.assertEval()
1 skill
Set up evaluation of Google ADK (Agent Development Kit) agents using Dokimos
1 skill
Set up evaluation of AI agents with tool call validation, correctness checks, and task completion using Dokimos
1 skill
Set up evaluation of Embabel agents using Dokimos
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint
13 skills · 1 command · 1 agent · hooks
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Install the "AAS AI Product & Evaluation Ops" editorial skill bundle for Claude Code.
13 skills
Build, train, evaluate, and use open source AI models, datasets, and spaces.
26 skills · 1 MCP server
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.