Harness-first migration and lifecycle skill for Amazon Bedrock AgentCore — migrate coding-assistant agents/skills/MCP to managed harnesses + Strands runtimes, verified against CLI 0.22.0. Bundles companion AWS skills (CloudFormation, serverless, solution-architect, expert).
Plugin agentcore from marketplace agentcore-skills in LeonMelamud/agentcore-toolkit. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
agentcoreUse when deploying, operating, or migrating AI agents on Amazon Bedrock AgentCore — creating harnesses or runtime agents, adding skills/tools/gateways/memory/credentials, exporting a harness to code, or migrating AI assistant configurations (.github/agents, .claude/skills, .cursor/rules, MCP configs
cve-triageScoring rubric for prioritizing CVEs by severity, exploitability, and exposure
aws-cloudformationUse when authoring, validating, or debugging standalone AWS CloudFormation templates (YAML/JSON) — writing or editing resources with secure defaults, running cfn-lint / cfn-guard / change-set validation before deploy, or diagnosing a failed or rolled-back stack via CloudFormation events and CloudTra
aws-expertUse when working with core AWS services outside the serverless and IaC specialist skills — EC2, S3, VPC/networking, IAM policies, RDS, ECS, CloudWatch, Secrets Manager — via the AWS CLI/console/boto3. Triggers - "launch an EC2 instance", "S3 bucket policy", "create a VPC", "IAM role/policy", "RDS se
aws-serverlessUse when implementing production serverless workloads on AWS —
aws-solution-architectUse when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Design AWS architectures for startups using serverless patterns and IaC templates. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimizatio
bedrock-agentcore-mcp-serverruns: uvx awslabs.amazon-bedrock-agentcore-mcp-server@latest
Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 98 commands · 71 agents · 1 MCP server · 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
Build powerful, stateful CLI interfaces for any GUI application using the cli-anything harness methodology.
5 commands
Build, deploy, and operate applications on AWS. Skills to author infrastructure-as-code, use core services, and complete common tasks.
27 skills · 1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
Turn any domain folder of skills into a bounded agentic loop: a manifest builder inventories a domain's skills/tools/checks, a goal compiler turns a goal into a verifiable task plan (refusing vague goals with forcing questions), and a JSON-backed loop controller drives execute->verify->close with retry caps, controller-run verification (no verification theater), human escalation on exhausted budgets, and a close gate that refuses while any task is unverified or unwaived. Ships 3 stdlib Python tools, 18 committed per-domain harness manifests + JSON schema, 3 references citing the 2024-2026 agent-harness canon (Anthropic long-running harnesses, verifier's law, SWE-agent, Ralph loop, Cognition), harness-runner agent + /cs-harness command. Use when an agent or subagent should pick up a goal, define its tasks, complete and verify them, and close the loop.
1 skill · 1 command · 1 agent
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