YeonGyu-Kim
810e3c7a51
Audit pass against root AGENTS.md (regenerated 2026-05-08) and the canonical sources in src/shared/model-requirements.ts, src/features/team-mode/, src/cli/, src/config/schema/. Each touched file keeps its existing tone but corrects stale facts: - guide/overview.md: project name + dual-package transition reality - guide/installation.md: bun-only invocation, dual oh-my-openagent / oh-my-opencode CLI surface, current doctor categories - guide/orchestration.md: 11 agents, category routing through sisyphus-junior, background concurrency, team-mode link - guide/agent-model-matching.md: Metis primary -> claude-sonnet-4-6 (matches src/shared/model-requirements.ts fallback chain) - guide/team-mode.md: full schema, member eligibility tiers, 12 team_* tools added when enabled - reference/cli.md: trim to current Commander surface (install, doctor, run, mcp-oauth, refresh-model-capabilities, get-local-version) - reference/configuration.md: trim to schema-driven reference, JSONC rules, multi-level merge order, mcp_env_allowlist user-only constraint - reference/features.md: 5-tier hook composition counts, 3-tier MCPs, hashline edit, IntentGate, OpenClaw bidirectional dispatcher Cross-cutting: every `oh-my-opencode.schema.json` URL replaced with the canonical `oh-my-openagent.schema.json` (legacy package name in text bodies preserved where it documents the dual-publish transition).
113 lines
3.5 KiB
JSON
113 lines
3.5 KiB
JSON
{
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"$schema": "https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/dev/assets/oh-my-openagent.schema.json",
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// Optimized for strategic planning, architecture, and complex project design.
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// Prioritizes deep thinking agents and thorough analysis before execution.
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"agents": {
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// Orchestrator: delegates to planning agents first
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"sisyphus": {
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"model": "anthropic/claude-opus-4-7",
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"ultrawork": { "model": "anthropic/claude-opus-4-7", "variant": "max" },
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"prompt_append": "Always consult prometheus and atlas for planning. Never rush to implementation.",
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},
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// Implementation: uses planning outputs
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"hephaestus": {
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"model": "openai/gpt-5.5",
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"prompt_append": "Follow established plans precisely. Ask for clarification when plans are ambiguous.",
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},
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// Primary planner: deep interview mode
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"prometheus": {
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"model": "anthropic/claude-opus-4-7",
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"thinking": { "type": "enabled", "budgetTokens": 160000 },
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"prompt_append": "Interview extensively. Question assumptions. Build exhaustive plans with milestones, risks, and contingencies. Use deep & quick agents heavily in parallel for research.",
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},
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// Architecture consultant
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"oracle": {
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"model": "openai/gpt-5.5",
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"variant": "xhigh",
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"thinking": { "type": "enabled", "budgetTokens": 120000 },
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},
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// Research and documentation
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"librarian": { "model": "google/gemini-3-flash" },
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// Exploration for research phase
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"explore": { "model": "github-copilot/grok-code-fast-1" },
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// Visual planning and diagrams
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"multimodal-looker": { "model": "google/gemini-3.1-pro", "variant": "high" },
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// Plan review and refinement: heavily utilized
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"metis": {
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"model": "anthropic/claude-opus-4-7",
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"prompt_append": "Critically evaluate plans. Identify gaps, risks, and improvements. Be thorough.",
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},
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// Critic: challenges assumptions
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"momus": {
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"model": "openai/gpt-5.5",
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"prompt_append": "Challenge all assumptions in plans. Look for edge cases, failure modes, and overlooked requirements.",
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},
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// Long-running planning sessions
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"atlas": {
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"prompt_append": "Preserve context across long planning sessions. Track evolving decisions.",
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},
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// Quick research tasks
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"sisyphus-junior": { "model": "opencode/gpt-5-nano" },
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},
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"categories": {
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"quick": { "model": "opencode/gpt-5-nano" },
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"unspecified-low": { "model": "anthropic/claude-sonnet-4-6" },
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// High-effort planning tasks: maximum reasoning
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"unspecified-high": {
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"model": "openai/gpt-5.5",
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"variant": "xhigh",
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},
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// Documentation from plans
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"writing": { "model": "google/gemini-3-flash" },
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// Visual architecture
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"visual-engineering": { "model": "google/gemini-3.1-pro", "variant": "high" },
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// Deep research and analysis
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"deep": { "model": "openai/gpt-5.5" },
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// Strategic reasoning
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"ultrabrain": { "model": "openai/gpt-5.5", "variant": "xhigh" },
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// Creative approaches to problems
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"artistry": { "model": "google/gemini-3.1-pro", "variant": "high" },
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},
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// Moderate concurrency: planning is sequential by nature
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"background_task": {
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"defaultConcurrency": 5,
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"staleTimeoutMs": 300000,
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"providerConcurrency": {
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"anthropic": 3,
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"openai": 3,
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},
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"modelConcurrency": {
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"anthropic/claude-opus-4-7": 2,
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"openai/gpt-5.5": 2,
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},
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},
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"sisyphus_agent": {
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"planner_enabled": true,
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"replace_plan": true,
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},
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"experimental": { "aggressive_truncation": true },
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}
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