{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"github-yeachan-heo--oh-my-claudecode","slug":"yeachan-heo--oh-my-claudecode","name":"oh-my-claudecode","type":"agent","url":"https://oh-my-claudecode.dev","page_url":"https://unfragile.ai/yeachan-heo--oh-my-claudecode","categories":["ai-agents"],"tags":["agentic-coding","ai-agents","automation","claude","claude-code","multi-agent-systems","oh-my-opencode","opencode","parallel-execution","vibe-coding"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"github-yeachan-heo--oh-my-claudecode__cap_0","uri":"capability://planning.reasoning.multi.tier.agent.registry.with.specialization.based.delegation","name":"multi-tier agent registry with specialization-based delegation","description":"Maintains a registry of 28 specialized agents organized into tiers (architecture, implementation, review, testing) that automatically route tasks based on delegation categories and agent specialization profiles. Uses a hook-driven execution model where pre-processing hooks analyze incoming requests, match them against agent capabilities via metadata, and delegate to the most appropriate tier. Agents can be customized with domain-specific prompts and skill bindings without modifying core orchestration logic.","intents":["Route coding tasks to the right specialized agent without manual selection","Extend the agent system with custom agents for domain-specific workflows","Understand which agent is best suited for architecture vs implementation vs testing tasks","Delegate subtasks across multiple agents in parallel based on capability matching"],"best_for":["Teams building multi-agent coding workflows where task specialization matters","Developers extending oh-my-claudecode with custom agents for specific domains","Organizations needing transparent agent selection and audit trails"],"limitations":["Agent tier assignment is static per session — cannot dynamically promote/demote agents based on performance","Delegation categories are predefined; adding new categories requires configuration changes","No built-in learning from agent performance metrics to improve routing decisions"],"requires":["Claude Code plugin environment","Agent metadata definitions in AGENTS.md","Skill bindings configured in skills/ directory"],"input_types":["natural language task descriptions","code context from current project","delegation category hints"],"output_types":["agent selection decision with confidence score","delegated task with context and constraints"],"categories":["planning-reasoning","multi-agent-orchestration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_1","uri":"capability://memory.knowledge.session.isolation.with.state.persistence.and.recovery","name":"session isolation with state persistence and recovery","description":"Implements project-level session isolation using an inbox/outbox pattern where each session maintains separate state files containing mode state, agent decisions, and execution history. State is persisted to disk in JSON schemas specific to each execution mode (Ralph Loop, Autopilot, Ultrawork, Team Orchestration), enabling recovery from interruptions and resumption of multi-step workflows. Session isolation prevents cross-project contamination and allows parallel execution of independent sessions with their own model routing and hook configurations.","intents":["Resume a multi-step coding task after interruption without losing progress","Run multiple independent projects simultaneously without state interference","Audit the complete execution history of a session including all agent decisions","Recover from failures by replaying state and continuing from the last checkpoint"],"best_for":["Teams running long-lived coding tasks that may be interrupted","Organizations requiring audit trails and execution history for compliance","Developers working on multiple projects in parallel with oh-my-claudecode"],"limitations":["State files are stored locally — no built-in distributed state synchronization across machines","Recovery requires manual intervention to resume; no automatic resumption on plugin restart","State schema changes between versions may require migration logic","Inbox/outbox pattern adds ~50-100ms per state write operation"],"requires":["Local filesystem access with write permissions","Claude Code plugin with state management hooks enabled","Mode state schema definitions for each execution mode"],"input_types":["execution mode identifier","agent decisions and outputs","model routing decisions"],"output_types":["persisted state file (JSON)","recovery checkpoint with full context","execution history log"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_10","uri":"capability://code.generation.editing.artifact.generation.with.structured.output.and.format.support","name":"artifact generation with structured output and format support","description":"Generates structured artifacts (code files, reports, documentation) from agent outputs using post-processing hooks that parse agent responses and format them according to artifact templates. Artifacts are stored in the project directory with metadata (agent, timestamp, mode) for tracking. Artifact generation supports multiple formats (code, markdown, JSON) and can apply transformations (linting, formatting) before writing. Artifacts are indexed in session state, enabling retrieval and versioning.","intents":["Automatically generate formatted code files from agent outputs","Create documentation and reports from execution results","Track artifact provenance (which agent generated it, when, in which mode)","Apply formatting and linting to generated artifacts"],"best_for":["Teams generating code or documentation from agent workflows","Organizations requiring artifact tracking and versioning","Developers building workflows that produce multiple output files"],"limitations":["Artifact templates are predefined — no dynamic template generation","Format transformations are limited to built-in formatters — custom formatters require hooks","Artifact versioning is manual — no automatic version management or conflict resolution","Artifact storage is local — no distributed artifact storage or backup"],"requires":["Artifact template definitions","Post-processing hooks for artifact generation","Format transformer implementations"],"input_types":["agent output text","artifact type and format","template parameters"],"output_types":["formatted artifact file","artifact metadata (agent, timestamp, mode)","artifact index entry"],"categories":["code-generation-editing","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_11","uri":"capability://automation.workflow.configuration.management.with.settings.json.and.claude.md.merge.strategy","name":"configuration management with settings.json and claude.md merge strategy","description":"Manages configuration through settings.json (hook registry, model routing, skill definitions) and CLAUDE.md (project-specific context and constraints). Configuration changes are merged intelligently when updating oh-my-claudecode, preserving user customizations while incorporating new defaults. Settings are validated against a schema before application, preventing invalid configurations. Configuration is scoped per project, enabling different teams to use different settings. Configuration changes trigger hook reloads without requiring plugin restart.","intents":["Configure hooks, agents, and skills per project without code changes","Update oh-my-claudecode while preserving custom configurations","Validate configuration before applying to catch errors early","Understand which configuration options are available and their effects"],"best_for":["Teams with project-specific customizations that need to persist across updates","Organizations with strict configuration management requirements","Developers extending oh-my-claudecode with custom hooks and agents"],"limitations":["Configuration schema is static — no dynamic schema generation based on installed plugins","Merge strategy is deterministic but can lose custom settings if defaults change significantly","Configuration validation is schema-based — no semantic validation of interdependent settings","Configuration changes require hook reload — no hot-reload for all configuration types"],"requires":["settings.json in project root","CLAUDE.md with project context","Configuration schema definitions"],"input_types":["settings.json configuration object","CLAUDE.md project context","configuration schema"],"output_types":["validated configuration object","configuration validation errors","hook reload signal"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_12","uri":"capability://automation.workflow.installation.and.auto.update.system.with.version.management","name":"installation and auto-update system with version management","description":"Provides automated installation via setup wizard and auto-update mechanism that checks for new versions and applies updates with rollback capability. Installation guards prevent incompatible versions from being installed. Plugin cache is managed to prevent stale code from being loaded. Version reconciliation ensures that installed components match the expected versions. Update process preserves user configurations and custom hooks through the merge strategy. Installation diagnostics help troubleshoot setup issues.","intents":["Install oh-my-claudecode with minimal manual configuration","Automatically update to new versions without losing customizations","Rollback to previous version if update causes issues","Diagnose installation problems and troubleshoot setup"],"best_for":["Teams wanting automated updates without manual intervention","Organizations requiring version control and rollback capability","Developers troubleshooting installation issues"],"limitations":["Auto-update is opt-in — requires explicit configuration to enable","Rollback requires manual intervention if automatic rollback fails","Installation guards are version-based — no semantic versioning support","Plugin cache invalidation can take up to 5 minutes to propagate"],"requires":["Claude Code plugin environment","Network access for version checking and updates","Write permissions for plugin installation directory"],"input_types":["installation configuration","version constraints","update preferences"],"output_types":["installation status and diagnostics","update notifications","version reconciliation report"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_13","uri":"capability://tool.use.integration.cli.commands.and.launch.system.for.programmatic.control","name":"cli commands and launch system for programmatic control","description":"Provides a CLI interface with commands for launching execution modes, querying analytics, managing configurations, and running diagnostics. CLI commands can be invoked from external scripts or CI/CD pipelines, enabling integration with existing workflows. Launch system supports parameterized execution (mode, agents, skills, hooks) via command-line arguments. CLI output is structured (JSON, CSV) for easy parsing by external tools. Commands are authenticated and authorized based on project permissions.","intents":["Integrate oh-my-claudecode into CI/CD pipelines for automated code generation or review","Query analytics and usage data from external tools","Launch specific execution modes with parameters from scripts","Manage configurations and run diagnostics from the command line"],"best_for":["Teams integrating oh-my-claudecode into CI/CD workflows","Organizations building custom tooling on top of oh-my-claudecode","Developers automating repetitive tasks via scripts"],"limitations":["CLI commands are synchronous — long-running tasks block the command","Output formatting is fixed (JSON, CSV) — no custom output formats","Authentication is project-based — no fine-grained permission control per command","CLI is local-only — no remote execution or distributed command dispatch"],"requires":["Node.js 18+ for CLI execution","Project permissions for command authorization","CLI command definitions in src/cli/"],"input_types":["command name and arguments","execution mode and parameters","query filters for analytics"],"output_types":["structured output (JSON, CSV)","execution status and results","error messages"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_14","uri":"capability://tool.use.integration.notification.system.with.configurable.alerts.and.delivery.channels","name":"notification system with configurable alerts and delivery channels","description":"Provides a notification system that alerts users to execution events (task completion, failures, escalations) via configurable delivery channels (in-app, email, Slack, webhooks). Notifications are triggered by post-processing hooks and can be customized per project. Notification templates support variable substitution (agent name, task status, error details). Notification history is tracked in session state for audit purposes. Notification delivery is asynchronous and includes retry logic for failed deliveries.","intents":["Get alerted when long-running tasks complete without polling","Integrate oh-my-claudecode notifications with team communication tools (Slack, email)","Customize notifications per project based on team preferences","Audit notification delivery and troubleshoot delivery failures"],"best_for":["Teams running long-lived workflows that need completion alerts","Organizations integrating oh-my-claudecode with existing communication tools","Developers building custom notification integrations"],"limitations":["Notification delivery is asynchronous — no guarantee of immediate delivery","Retry logic is exponential backoff with max 3 retries — persistent failures are logged but not escalated","Notification templates are predefined — no dynamic template generation","Delivery channels are limited to built-in integrations — custom channels require hooks"],"requires":["Notification channel configuration (email, Slack, webhook URLs)","Post-processing hooks for notification triggering","Notification template definitions"],"input_types":["notification event (task completion, failure, escalation)","event context (agent, task, status, error details)","delivery channel configuration"],"output_types":["notification message","delivery status (sent, failed, retrying)","notification history log"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_2","uri":"capability://automation.workflow.hook.driven.execution.pipeline.with.pre.post.processing.stages","name":"hook-driven execution pipeline with pre/post-processing stages","description":"Implements a multi-stage hook system with pre-processing hooks (analyze requests, validate context), orchestration hooks (route to agents, manage delegation), persistent mode hooks (maintain state across steps), quality control hooks (validate outputs), and post-processing hooks (recovery, artifact generation). Hooks are executed in a defined sequence and can modify request/response data, trigger side effects, or abort execution. Hook configuration is stored in settings.json and can be customized per project, enabling teams to inject custom logic (logging, validation, integration) without modifying core orchestration code.","intents":["Inject custom validation or logging at specific points in the execution pipeline","Implement team-specific quality gates before agent outputs are committed","Integrate external systems (monitoring, analytics, artifact storage) into the workflow","Customize orchestration behavior per project without forking the codebase"],"best_for":["Teams needing to enforce custom quality gates or compliance checks","Organizations integrating oh-my-claudecode with existing CI/CD or monitoring systems","Developers extending orchestration behavior with domain-specific logic"],"limitations":["Hook execution is sequential — no parallel hook execution, which can add latency","Hooks have access to full execution context, creating potential security surface if hooks are untrusted","Hook failures abort the entire pipeline; no partial execution or fallback mechanisms","Hook configuration is per-project; no global hook templates or inheritance"],"requires":["Hook implementation in TypeScript","settings.json configuration with hook registry","Understanding of hook execution order and context structure"],"input_types":["request object with task description and context","agent outputs and decisions","execution state and mode information"],"output_types":["modified request/response with hook transformations","side effects (logging, external API calls)","execution abort signal"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_3","uri":"capability://planning.reasoning.intelligent.model.routing.across.claude.tier.hierarchy.haiku.sonnet.opus","name":"intelligent model routing across claude tier hierarchy (haiku/sonnet/opus)","description":"Implements CCG Tri-Model Orchestration that routes requests to Claude Haiku (fast, cost-effective), Sonnet (balanced), or Opus (high-capability) based on task complexity, token budget, and model fallback policies. Routing decisions are made by orchestration hooks that analyze request characteristics (code size, task type, required reasoning depth) and select the optimal model tier. If a request fails on a lower-tier model, the system automatically escalates to the next tier with exponential backoff. Model selection is persisted in session state to enable consistent routing across multi-step workflows.","intents":["Minimize API costs by routing simple tasks to Haiku while reserving Opus for complex reasoning","Ensure task completion by automatically escalating to higher-tier models on failure","Maintain consistent model selection across multi-step workflows for coherent outputs","Understand which model was used for each decision in the execution history"],"best_for":["Teams optimizing API costs while maintaining quality for complex tasks","Organizations with strict token budgets that need intelligent cost-aware routing","Developers building long-running workflows where model consistency matters"],"limitations":["Model selection is deterministic based on task characteristics — no probabilistic routing or A/B testing","Escalation adds latency (exponential backoff can delay completion by 10-30 seconds)","No built-in cost tracking per model tier — requires external analytics integration","Fallback policy is global; cannot override per-task without custom hooks"],"requires":["API keys for Claude Haiku, Sonnet, and Opus models","Task complexity analysis in pre-processing hooks","Token budget configuration in settings.json"],"input_types":["task description and code context","estimated token count","task complexity classification"],"output_types":["selected model tier (Haiku/Sonnet/Opus)","routing decision with rationale","fallback escalation signal"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_4","uri":"capability://automation.workflow.execution.modes.with.persistent.state.and.mode.specific.workflows","name":"execution modes with persistent state and mode-specific workflows","description":"Provides four execution modes (Ralph Loop, Autopilot, Ultrawork, Team Orchestration) each with distinct workflow patterns, state schemas, and hook configurations. Ralph Loop implements iterative refinement with human feedback loops; Autopilot runs fully autonomous multi-step workflows; Ultrawork enables high-intensity parallel execution; Team Orchestration distributes tasks across worker agents with task claiming and communication. Each mode persists its state in a mode-specific JSON schema, enabling resumption and audit trails. Mode selection is determined by user intent or slash commands, and mode state is isolated per session.","intents":["Choose the right execution strategy for the task (iterative refinement vs autonomous vs parallel vs team-based)","Resume a workflow in the same mode after interruption with full context","Understand the execution pattern and state transitions for each mode","Switch modes mid-workflow or run multiple modes in parallel for different tasks"],"best_for":["Teams needing different execution strategies for different task types","Organizations running long-lived workflows that require resumption capability","Developers building complex multi-step coding tasks with team coordination"],"limitations":["Mode switching mid-workflow requires manual state migration — no automatic conversion between mode schemas","Each mode has its own hook configuration, creating complexity for cross-mode consistency","Team Orchestration mode requires explicit worker management and task distribution logic","Mode-specific state schemas make it difficult to share state across modes"],"requires":["Mode selection via slash commands or user intent classification","Mode state schema definitions in src/modes/","Hook configurations specific to each mode"],"input_types":["user intent or slash command","task description and context","mode-specific parameters"],"output_types":["mode-specific state file","execution history with mode transitions","mode-specific artifacts (reports, code, etc.)"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_5","uri":"capability://automation.workflow.team.orchestration.with.worker.management.and.task.distribution","name":"team orchestration with worker management and task distribution","description":"Implements a team coordination layer where a coordinator agent distributes tasks to worker agents via a task claiming mechanism. Workers communicate status updates through a message queue, and the coordinator monitors progress and reassigns tasks on failure. Task distribution uses a load-balancing strategy that considers worker availability and specialization. Worker communication is asynchronous and persisted in session state, enabling recovery if workers or the coordinator fail. Security and permissions are enforced at the task level, preventing workers from accessing unauthorized resources.","intents":["Distribute a large coding task across multiple agents working in parallel","Monitor worker progress and automatically reassign tasks on failure","Ensure workers only access resources they are authorized for","Resume team coordination after interruption with full task state"],"best_for":["Teams running large-scale refactoring or migration tasks that benefit from parallelization","Organizations with strict security requirements for multi-agent access control","Developers building complex workflows that require coordination across multiple agents"],"limitations":["Task claiming mechanism is sequential — no true parallel task assignment, which can create bottlenecks","Worker communication is asynchronous but not distributed — all workers must be in the same session","No built-in load balancing based on worker performance metrics — uses static availability only","Security enforcement is at task level; no fine-grained resource-level permissions"],"requires":["Multiple worker agents configured in agent registry","Task distribution strategy defined in Team Orchestration mode hooks","Message queue implementation for worker communication","Security policy definitions for task-level access control"],"input_types":["large task decomposed into subtasks","worker availability and specialization metadata","security policy and resource permissions"],"output_types":["task assignments with worker bindings","worker status updates and progress messages","task completion reports with worker attribution"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_6","uri":"capability://automation.workflow.skills.system.with.invocation.patterns.and.core.skill.library","name":"skills system with invocation patterns and core skill library","description":"Provides a modular skills library (33+ skills) where each skill is a reusable workflow component with a SKILL.md definition, invocation pattern, and hook bindings. Skills are invoked through magic keywords or slash commands and can be composed into larger workflows. Core skills include autonomous execution, persistent mode management, and team coordination. Skills are registered in a skill registry and can be customized per project by overriding skill definitions or adding new skills. Skill invocation is tracked in session state, enabling audit trails and skill reuse analysis.","intents":["Reuse common coding workflows (setup, testing, review) without reimplementing logic","Compose skills into larger workflows by chaining skill invocations","Understand which skills are available and how to invoke them","Customize skills for domain-specific requirements without modifying core orchestration"],"best_for":["Teams with repeatable coding workflows that benefit from skill reuse","Organizations building domain-specific extensions to oh-my-claudecode","Developers creating libraries of reusable workflow components"],"limitations":["Skills are invoked sequentially — no parallel skill execution within a single invocation","Skill composition is manual via magic keywords — no automatic skill chaining or optimization","Skill dependencies are not explicitly declared — circular dependencies can cause infinite loops","Skill customization is per-project; no global skill templates or inheritance"],"requires":["Skill definition in skills/{skill-name}/SKILL.md","Invocation pattern documentation (magic keywords or slash commands)","Hook bindings for skill execution"],"input_types":["magic keyword or slash command","skill parameters and context","project configuration"],"output_types":["skill execution result","artifacts generated by skill","skill invocation audit trail"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_7","uri":"capability://tool.use.integration.magic.keywords.and.slash.commands.for.user.interaction","name":"magic keywords and slash commands for user interaction","description":"Provides a command interface using magic keywords (e.g., @agent-name, #skill-name) and slash commands (e.g., /autopilot, /team-mode) that trigger specific agents, skills, or execution modes. Commands are parsed by pre-processing hooks and mapped to agent delegations or mode transitions. Command context includes the current project state, selected code, and execution history. Commands can accept parameters and options, enabling fine-grained control over execution. Command history is tracked in session state for audit and replay purposes.","intents":["Quickly invoke specific agents or skills without navigating menus","Switch execution modes or trigger specific workflows with a single command","Pass parameters to agents or skills via command syntax","Understand available commands and their effects"],"best_for":["Power users who prefer command-line interfaces over menus","Teams with standardized workflows that map to specific commands","Developers building custom command extensions"],"limitations":["Command syntax is not standardized across agents and skills — inconsistent parameter formats","No built-in command completion or validation — typos can cause silent failures","Command history is session-local; no global command history across projects","Magic keyword parsing is regex-based, which can be fragile with complex context"],"requires":["Command definitions in settings.json or agent/skill metadata","Pre-processing hooks for command parsing","User familiarity with command syntax"],"input_types":["magic keyword or slash command string","command parameters and options","current project context"],"output_types":["agent delegation or mode transition","command execution result","error message if command is invalid"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_8","uri":"capability://data.processing.analysis.hud.statusline.with.real.time.execution.monitoring.and.analytics","name":"hud statusline with real-time execution monitoring and analytics","description":"Provides a heads-up display (HUD) statusline that shows real-time execution metrics including current agent, execution mode, token usage, session statistics, and progress indicators. HUD data is updated via a data pipeline that collects metrics from hooks and execution state. Analytics are tracked per session and aggregated across sessions for usage reporting. The HUD integrates with a Usage API that provides historical analytics and benchmarking data. Token tracking is granular (per-agent, per-model, per-mode) enabling cost analysis and optimization.","intents":["Monitor execution progress and current agent in real-time","Track token usage per agent, model, and mode for cost optimization","Understand session statistics and performance metrics","Analyze historical usage patterns across projects"],"best_for":["Teams optimizing API costs and wanting visibility into token usage","Organizations requiring usage reporting and analytics","Developers debugging execution flow and performance bottlenecks"],"limitations":["HUD updates are real-time but not instantaneous — ~500ms latency due to data pipeline","Token tracking is approximate for streaming responses — exact counts available only after completion","Analytics aggregation is session-local; no cross-session analytics without external storage","HUD display is limited to Claude Code UI — no external dashboard integration"],"requires":["HUD installation and configuration in Claude Code","Token tracking hooks enabled","Usage API integration for historical analytics"],"input_types":["execution state and metrics from hooks","token usage data from model calls","session statistics"],"output_types":["HUD statusline display","session statistics report","usage analytics and benchmarking data"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-yeachan-heo--oh-my-claudecode__cap_9","uri":"capability://automation.workflow.background.job.management.with.async.execution.and.polling","name":"background job management with async execution and polling","description":"Enables long-running tasks to execute asynchronously in the background while the user continues working. Background jobs are registered with a job ID and polling mechanism that checks for completion. Job state is persisted in session state, enabling recovery if the plugin crashes. Jobs can be monitored via HUD or CLI commands. Job results are stored in an outbox pattern, allowing the user to retrieve results when ready. Multiple jobs can run in parallel, with resource limits enforced to prevent system overload.","intents":["Run long-running tasks without blocking the user interface","Monitor multiple background jobs in parallel","Retrieve job results when ready without polling manually","Resume background jobs after plugin restart"],"best_for":["Teams running long-lived coding tasks that don't require immediate results","Organizations with resource constraints that need background job scheduling","Developers building workflows with multiple parallel tasks"],"limitations":["Background jobs are local to the plugin — no distributed job execution across machines","Polling mechanism has configurable interval but adds latency (default 5-10 seconds)","Resource limits are static — no dynamic adjustment based on system load","Job cancellation is not graceful — requires killing the underlying process"],"requires":["Background job registration in execution hooks","Job state persistence in session state","Polling mechanism configuration"],"input_types":["long-running task with job ID","resource limits and timeout","polling interval configuration"],"output_types":["job status (running, completed, failed)","job results in outbox","job execution logs"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":50,"verified":false,"data_access_risk":"high","permissions":["Claude Code plugin environment","Agent metadata definitions in AGENTS.md","Skill bindings configured in skills/ directory","Local filesystem access with write permissions","Claude Code plugin with state management hooks enabled","Mode state schema definitions for each execution mode","Artifact template definitions","Post-processing hooks for artifact generation","Format transformer implementations","settings.json in project root"],"failure_modes":["Agent tier assignment is static per session — cannot dynamically promote/demote agents based on performance","Delegation categories are predefined; adding new categories requires configuration changes","No built-in learning from agent performance metrics to improve routing decisions","State files are stored locally — no built-in distributed state synchronization across machines","Recovery requires manual intervention to resume; no automatic resumption on plugin restart","State schema changes between versions may require migration logic","Inbox/outbox pattern adds ~50-100ms per state write operation","Artifact templates are predefined — no dynamic template generation","Format transformations are limited to built-in formatters — custom formatters require hooks","Artifact versioning is manual — no automatic version management or conflict resolution","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7796495697001045,"quality":0.35,"ecosystem":0.6000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:22.064Z","last_scraped_at":"2026-05-03T13:57:06.483Z","last_commit":"2026-05-03T10:25:31Z"},"community":{"stars":32368,"forks":3001,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=yeachan-heo--oh-my-claudecode","compare_url":"https://unfragile.ai/compare?artifact=yeachan-heo--oh-my-claudecode"}},"signature":"eMGOAaGCogpM4RmTyg1nUmvVBS6lgYRlKWXKjShiSPUbo8gIMHmbzdhBKIdwRzrkuldoBIfUIscJTdvPgDKxCg==","signedAt":"2026-06-20T19:06:54.653Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/yeachan-heo--oh-my-claudecode","artifact":"https://unfragile.ai/yeachan-heo--oh-my-claudecode","verify":"https://unfragile.ai/api/v1/verify?slug=yeachan-heo--oh-my-claudecode","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}