hiddink

Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts

Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile

Multi-LLM adversarial consensus loop — 3+ LLMs compete to find flaws in designs/specs until unanimous agreement is reached

Monitor Claude Code releases and auto-generate GitHub issues for each new version

Execute OpenAI Codex CLI prompts and return results

YAML-based DAG workflow engine with topological execution and failure strategies

Routes data engineering tasks to the correct DE expert agent. Use when user requests data pipeline design, DAG authoring, SQL modeling, stream processing, or warehouse optimization.

Research-validated planning — research → plan → verify cycle for high-confidence implementation plans

Multi-angle release quality verification using parallel expert review teams

Routes development tasks to the correct language or framework expert agent. Use when user requests code review, implementation, refactoring, or debugging.

Review code against language-specific best practices

Parameterized evaluator-optimizer loop for quality-critical output with configurable rubrics

Execute Gemini CLI prompts and return results

Structured SE task evaluation using 15 benchmark definitions from claude-code-harness research

Synthesize code harnesses for agent action validation — AutoHarness-inspired verifier/filter/policy generation

Show help information for commands and system

Automatically detect user intent and route to appropriate agent

Show all available commands

Advisory model escalation based on task outcome tracking

Parallel code verification using multiple models with severity classification

Apply verified improvement suggestions from eval-core analysis to omcodex configuration

Submit feedback about oh-my-customcodex (supports anonymous submission)

Read-only report of improvement suggestions from eval-core analysis engine

Generate structured release notes from git history and closed issues within the GPT Codex + OMX session

Extract canonical spec from existing agent or skill files

Cross-session agent session messaging via claude-peers-mcp broker

Safety constraints and quality gates for pipeline and workflow execution

Invoke and resume YAML-defined pipelines by name — /pipeline auto-dev runs the full release pipeline

Analyze release workflow findings and recommend follow-up actions — execute immediately or register as issues

Analyze GitHub issues against current codebase and perform automated triage with priority assessment

Coordinates QA workflow across planning, writing, and execution agents. Use when user requests testing, quality assurance, or test documentation.

Generate release-unit development plans from professor-triage completed (verify-done) issues, grouping by priority and size

10-team parallel deep analysis with cross-verification for any topic, repository, or technology. Use when user invokes /research or asks for comprehensive research.

Aggregate parallel agent results into concise output

Structured multi-agent debate that preserves dissent with a mandatory devil's advocate and two-round cap

Full R017 verification (5+3 rounds) before commit

Analyze external URL to evaluate fit with oh-my-customcodex project and auto-create GitHub issue with verdict

Routes agent management tasks to the correct manager agent. Use when user requests agent creation, updates, audits, git operations, or verification.

Analyze task trajectories to propose reusable SKILL.md candidates from successful patterns

Search and install skills from skills.sh marketplace when internal skills are insufficient