Agent Claude Code
Design or revise markdown command workflows for repeated terminal use.
EvoHarness delivers terminal-native agent infrastructure: tools, commands, skills, agents, plugins, MCP, memory, approvals, and controlled self-evolution
Agent Claude Code
Design or revise markdown command workflows for repeated terminal use.
Agent Claude Code
Reduce long-context pressure by narrowing files, windows, and evidence.
Agent Claude Code
Review workspace docs against the live harness surface and identify the most valuable doc repair.
Agent Claude Code
Audit self-evolution signals, candidate artifacts, and promotion readiness.
Agent Claude Code
Explore the Evo Harness codebase and summarize relevant implementation paths.
Agent Claude Code
Review plugin catalogs and recommend the next highest-leverage bundle to add or clean up.
Agent Claude Code
Design local MCP services that surface reusable tools, resources, and prompts without fragile boot paths.
Agent Claude Code
Find when MCP tools, resources, or prompts should replace manual rediscovery.
Agent Claude Code
Design or refactor plugin bundles so manifests, commands, skills, agents, and MCP feel coherent together.
Agent Claude Code
Diagnose live-provider compatibility failures for Kimi, GLM, and other OpenAI-compatible endpoints.
Agent Claude Code
Give a compact release-readiness view grounded in doctor findings, sessions, and promotion evidence.
Agent Claude Code
Expand or review the verification matrix for a growing harness surface.
Agent Claude Code
Review whether a harness change is candidate-first, replayable, and rollback-safe.
Agent Claude Code
Review whether a workflow bundle feels coherent across commands, skills, agents, plugins, and MCP.
Agent
Scout recent failures and classify whether the next fix belongs in code, validation, or harness workflow.
Agent
Review doctor, promotion, and session evidence together before a candidate is treated as ready.
Agent
Summarize archived session behavior and extract reusable lessons for future harness turns.
Agent
Map visible docs and identify the next highest-value repair.
Agent
Review whether a new user can discover the main harness surface without digging through code.
Agent
Map docs, prompts, and MCP resources into a concise navigation plan.
Agent
Review the harness ecosystem and recommend the next highest-leverage asset to add.
Agent
Review whether proposed harness changes have enough replay and regression protection.
Agent
Review real sessions and identify the smallest high-value harness mutation.
Agent
Review a workspace carefully with a safety-first mindset.