agentclash
Official@agentclash
Offers a standardized framework for evaluating, benchmarking, and deploying autonomous system builds through structured challenge packs and regression testing.
Agent Skills by agentclash
Showing 30 vetted skills indexed across 1 GitHub repositories.
agentclashagentclash-skill-catalog
Validate AgentClash skill folders against taxonomy and YAML frontmatter requirements.
agentclashagentclash-quickstart
Validate AgentClash CLI authentication, workspace connectivity, and resource availability.
agentclashagentclash-cli-setup
Configure and validate the AgentClash CLI environment for hosted or self-hosted backends.
agentclashagentclash-ci-release-gate
Compare candidate agent builds against performance baselines in GitHub Actions CI/CD pipelines.
agentclashagentclash-multi-turn-operator
Monitor turn status and submit operator messages to the AgentClash API.
agentclashagentclash-hub
Coordinate AI agent evaluation workflows across the AgentClash ecosystem.
agentclashagentclash-prompt-eval-playground
Scaffold, validate, and execute prompt evaluation configurations with AgentClash CLI.
agentclashagentclash-regression-flywheel
Promote AI agent failure evidence into structured regression suites and manage their lifecycle.
agentclashagentclash-security-evaluation
Simulate adversarial attacks and secret leakage against local and remote vault services.
agentclashagentclash-dataset-workflows
Manage dataset versioning, synthetic generation, and CI/CD regression gating for AI agent evaluation.
agentclashagentclash-compare-and-triage
Compare AI agent evaluation runs and triage failure evidence via AgentClash CLI.
agentclashagentclash-agent-harness-setup
Manage E2B-based coding agent evaluation harnesses and execution workflows.
agentclashagentclash-eval-runner
Orchestrate AI agent evaluation runs against published challenge packs.
agentclashagentclash-scorecard-reader
Interpret AgentClash run JSON to identify winners, regressions, and failure root causes.
agentclashagentclash-workspace-admin
Manage organizations, workspaces, and memberships in AgentClash.
agentclashagentclash-challenge-pack-scoring-validators
Define deterministic scoring validators and scorecard dimensions for AgentClash challenge packs.
agentclashagentclash-challenge-pack-tools-sandbox
Define native execution surfaces for AI agent challenge packs.
agentclashagentclash-challenge-pack-input-sets
Create standardized, YAML-based input sets for AgentClash challenge packs with schema validation.
agentclashagentclash-challenge-pack-planner
Structure AgentClash challenge pack designs with task boundaries and scoring strategies.
agentclashagentclash-challenge-pack-yaml-author
Generate and validate AgentClash challenge pack YAML configurations.
agentclashagentclash-challenge-pack-artifacts
Manage challenge pack assets, artifact references, and file evidence for AgentClash evaluation.
agentclashagentclash-challenge-pack-llm-judges
Configure LLM-as-judge scoring with rubric, assertion, reference, and n-wise ranking modes.
agentclashagentclash-challenge-pack-validation-publish
Validate and publish AgentClash challenge pack YAML configurations against workspace-backed schemas.
agentclashagentclash-agent-deployment-setup
Configure and validate AgentClash agent deployments by linking build versions with runtime profiles.
Frequently Asked Questions About agentclash
FAQPage SchemaWhat specific tasks are enabled by the AgentClash ecosystem?▼
The platform enables structured evaluation of autonomous systems through challenge pack design, regression lifecycle management, and adversarial security testing. It provides capabilities for defining deterministic scoring validators, managing dataset versioning, and interpreting scorecard JSON to identify root causes of performance regressions.
Which personas benefit from using these evaluation capabilities?▼
Engineers and technical leads focused on quality assurance, security auditing, and performance benchmarking for autonomous systems utilize these capabilities. It is designed for teams requiring rigorous validation of build specifications, deployment profiles, and runtime resource configurations within complex development environments.
What are the prerequisites for running AgentClash evaluation harnesses?▼
Users must configure workspace secrets, provider accounts, and execution profiles to establish connectivity. The environment requires valid YAML-based challenge pack configurations, defined build specifications in JSON format, and access to the core environment for orchestrating evaluation runs against published challenge packs.