“[OMX] Alias for $plan --consensus”

— description from SKILL.md by yangyuan-zhen
AGPL-3.0Auto-check passed

Install Ralplan

skills CLI
$ npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install yangyuan-zhen/PolyWeather ralplan --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/yangyuan-zhen/PolyWeather.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/ralplan .claude/skills/ralplan && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ralplan
GitHub stars
316
Token cost
~4.7k tokens
SKILL.md length
2,366 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
AGPL-3.0

At a glance

  • Works in 2 steps: Planner creates an adaptive plan… → User feedback (--interactive only): If…
  • SKILL.md covers Usage, Flags, Ontology-heavy review and Usage with interactive mode, plus 8 more sections
  • Calls make

About this skill

Ralplan is a skill in yangyuan-zhen/PolyWeather (316 stars). Its SKILL.md is about 4.7k tokens. Licence: AGPL-3.0.

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Planner creates an adaptive plan (right-sized to task scope; do not default to exactly five steps) and a compact RALPLAN-DR summary before…
  2. User feedback (--interactive only): If --interactive is set, use the structured question UI (omx question in attached tmux; native…

What it can do on your machine

Read from SKILL.md and the folder at commit 43e658b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • make

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ralplan loads about 4.7k tokens when it runs. Until then it costs about 10 tokens; SKILL.md has 2,366 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~10
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from yangyuan-zhen/PolyWeather at commit 43e658b, republished under its AGPL-3.0 licence (© yangyuan-zhen). 2,366 words, ~4,716 tokens.

Download SKILL.mdSave it as .claude/skills/ralplan/SKILL.md (or your agent's skills folder).
name
ralplan
description
[OMX] Alias for $plan --consensus

Ralplan (Consensus Planning Alias)

Ralplan is a shorthand alias for $plan --consensus. It drives Planner, Architect, and Critic planning and records their review lifecycle with RALPLAN-DR structured deliberation (short mode by default, deliberate mode for high-risk work). That local lifecycle never authorizes an execution handoff: an official host-issued receipt verified through a documented non-user-mintable host surface is required. Scholastic is an advisory native agent/persona for ontology-heavy planning evidence, not part of the lifecycle.

Usage

$ralplan "task description"

Flags

  • --interactive: Enables user prompts at key decision points (draft review in step 2 and final approval in step 6). Without this flag the workflow runs fully automated — Planner → Architect → Critic loop — and outputs the final plan without asking for confirmation.
  • --deliberate: Forces deliberate mode for high-risk work. Adds pre-mortem (3 scenarios) and expanded test planning (unit/integration/e2e/observability). Without this flag, deliberate mode can still auto-enable when the request explicitly signals high risk (auth/security, migrations, destructive changes, production incidents, compliance/PII, public API breakage).

Ontology-heavy review

For requirements semantics, taxonomy, prompt/spec design, policy distinctions, or category-risk architecture, subagent Scholastic may be cited as an available advisory ontology reviewer/persona. Its findings can inform the plan or follow-up evidence when explicitly used, but $ralplan itself records Architect→Critic lifecycle evidence only; neither those reviews nor Scholastic evidence is a durable execution authorization.

Usage with interactive mode

$ralplan --interactive "task description"

Behavior

GPT-5.6 Guidance Alignment

Use the shared workflow guidance pattern: outcome-first framing, concise visible updates for multi-step planning, local overrides for the active workflow branch, evidence-backed planning and validation expectations, explicit stop rules, right-sized implementation/PRD shape, and automatic continuation for safe reversible steps. Ask only for material, destructive, credentialed, external-production, or preference-dependent branches.

This skill invokes the Plan skill in consensus mode:

$plan --consensus <arguments>
$plan --consensus --interactive <arguments>

The consensus workflow:

  1. Planner creates an adaptive plan (right-sized to task scope; do not default to exactly five steps) and a compact RALPLAN-DR summary before review. Current [main] vs [planner] behavior: standalone $ralplan may be authored by the active main planning lane unless the caller/runtime supplies a dedicated planner routing record; inside $autopilot, state field planning_routing.owner:"planner" means the initial Planner draft/decomposition must use dedicated [planner]. Set .omx-config.json agentModels.planner to opt into a specific planner model and force dedicated planner ownership for complex Autopilot planning even when [main] is not cheap/mini. The RALPLAN-DR summary includes:
    • Principles (3-5)
    • Decision Drivers (top 3)
    • Viable Options (>=2) with bounded pros/cons
    • If only one viable option remains, explicit invalidation rationale for alternatives
    • Deliberate mode only: pre-mortem (3 scenarios) + expanded test plan (unit/integration/e2e/observability)
  2. User feedback (--interactive only): If --interactive is set, use the structured question UI (omx question in attached tmux; native structured input outside tmux when available) to present the draft plan plus the Principles / Drivers / Options summary before review (Proceed to review / Request changes / Skip review). Otherwise, automatically proceed to review. Native role-routing preflight: Keyword routing may already have selected Ralplan, but it is not authority. Run omx ralplan preflight --json only when the native task surface reports role_routing_unavailable and this workflow attempts adapted Ralplan Planner, Architect, or Critic authority, adapted role-intent, or adapted consensus authority. On unsupported_documented_leader_proof, stop before that adapted authority and use a Codex surface with documented root proof or a reviewed alternative workflow. Do not infer root identity from session_id, undocumented thread_id, session/pointer/transcript/cwd state, absence of child data, or a prompt label. Ordinary native planning, lifecycle, state, status, health, HUD, runtime, setup, install, sync, and unrelated delegation are outside this preflight boundary and remain governed by existing controls.

Native role-routing rule: When the native surface exposes agent_type role routing, set agent_type to an installed OMX role and never omit it for OMX work. When it does not (role_routing_unavailable), do not fabricate agent_type. On the exact reviewed Codex releases 0.144.5, 0.145.0, 0.146.1, and 0.148.0-alpha.5, adapted Ralplan Planner, Architect, Critic, role-intent, and consensus authority are unavailable because they lack documented root proof; every other version remains unknown and fails closed. Do not silently weaken routing with a prompt role label or inferred carrier. Use a Codex surface with documented root proof or a reviewed alternative workflow for that authority. A direct omx ralplan role-intent write attempt is denied with machine reason unsupported_documented_leader_proof.

  1. Architect reviews for architectural soundness and must provide the strongest steelman antithesis, at least one real tradeoff tension, and (when possible) synthesis — await completion before step 4. Launch this as a subsequent role-specific Architect subagent and pass the full task statement, context snapshot, PRD/test-spec paths, and relevant prior findings; do not substitute an unvalidated reviewer identity or a short improvised reviewer prompt. In deliberate mode, Architect should explicitly flag principle violations.
  2. Critic evaluates against quality criteria — run only after step 3 completes. Launch this as a subsequent role-specific Critic subagent with the full task statement, context snapshot, PRD/test-spec paths, and the completed Architect review; do not ask the Architect subagent to perform the Critic gate and do not substitute an unvalidated reviewer identity or a short improvised reviewer prompt. Critic must enforce principle-option consistency, fair alternatives, risk mitigation clarity, testable acceptance criteria, and concrete verification steps. In deliberate mode, Critic must reject missing/weak pre-mortem or expanded test plan.
  3. Re-review loop (max 5 iterations): Any non-APPROVE Critic verdict (ITERATE or REJECT) MUST run the same full closed loop: a. Collect Architect and Critic feedback b. Revise the plan with Planner c. Return to Architect review d. Return to Critic evaluation e. Repeat this loop until Critic returns APPROVE or 5 iterations are reached f. If 5 iterations are reached without APPROVE, present the best version to the user
  4. On Critic approval (--interactive only): present the plan for review, change requests, rejection, or selection of a requested future execution lane. A local Critic approval is lifecycle-only and must not offer or begin an execution handoff while the host receipt verifier is unavailable.
  5. (--interactive only) Record the user's planning disposition and any requested future execution lane; do not invoke $ultragoal, $team, $ralph, or another implementation lane without a verified official host receipt.
  6. On local Architect→Critic approval, preserve the plan and reviews with ralplan_consensus_gate.complete:false and blocked_reason:"documented_host_consensus_receipt_unavailable". Report the host blocker and stop rather than implementing directly.

Important: Steps 3 and 4 MUST run sequentially as role-specific subagents. Do NOT issue both agent calls in the same parallel batch. Always await the subsequent Architect result before invoking the subsequent Critic; their completed approvals establish local lifecycle evidence only and cannot satisfy the durable execution gate.

Planning/Execution Boundary

$ralplan is a planning mode. While ralplan is active and no explicit execution handoff is active, implementation-focused write tools are out of scope. Ralplan may inspect the repository and may write only planning artifacts such as .omx/context/, .omx/plans/, .omx/specs/, and required .omx/state/ records.

The canonical flow is:

$ralplan -> local Architect→Critic lifecycle evidence -> verified official host receipt -> explicit execution lane -> $ultragoal | $team | $ralph

Before any execution lane begins, ralplan must emit terminal planning state (complete, paused, failed, or waiting for input) and the durable handoff record below. Do not continue from consensus planning into direct code edits in the same ralplan session.

Durable Consensus Handoff Contract

Ralplan is not complete, skippable, or ready for execution merely because .omx/plans/prd-*.md and .omx/plans/test-spec-*.md exist. Those files are planning artifacts, not consensus evidence.

Before any Autopilot, Pipeline, Ultragoal, Team, Ralph, or implementation handoff, persist a durable handoff record that distinguishes:

  • planning_artifacts: PRD/test-spec paths.
  • ralplan_architect_review: the completed Architect review with an approving verdict.
  • ralplan_critic_review: the completed Critic review with an approving verdict, recorded only after the Architect review.
  • ralplan_consensus_gate.complete:true only after an official host-issued receipt is verified through a documented non-user-mintable host surface. Architect/Critic reviews, trackers, artifacts, and local receipt-shaped fields remain lifecycle or trace evidence only; until the verifier exists, persist complete:false with blocked_reason:"documented_host_consensus_receipt_unavailable".

If Architect is missing/blocked, keep the workflow in Architect review or report that blocker. If Critic is missing/blocked/non-approving, keep the workflow in Critic/re-review or report the max-iteration outcome. Even after both reviews approve, they complete only the local review lifecycle; do not start execution until an official host receipt verifier authorizes the transition. Existing plan/test-spec files and local review artifacts are never permission to skip ralplan or execute.

Follow the Plan skill's full documentation for consensus mode details.

Show full SKILL.md (1,037 more words)Show less

Goal-Mode Follow-up Suggestions

When a verified official host receipt permits an execution handoff, include product-facing goal-mode suggestions alongside the existing Ralph and team options. Until then, record any requested lane as non-executing planning guidance and keep ralplan_consensus_gate.complete:false with blocked_reason:"documented_host_consensus_receipt_unavailable".

  • $ultragoal — default goal-mode follow-up for implementation or general goal-oriented follow-up plans that should become durable Codex/OMX goals with sequential completion tracking.
  • $autoresearch-goal — research-project follow-up when the plan centers on a question, literature/reference gathering, evaluator-backed research, or a professor/critic-style research deliverable.
  • $performance-goal — optimization/performance follow-up when the plan centers on speed, latency, throughput, memory, benchmark, or other measurable performance work.

Keep $team as a first-class execution option and keep $ralph available only as an explicit fallback where appropriate: use Ultragoal as the default durable goal-mode follow-up, Team for coordinated parallel implementation, and Ralph only for intentionally selected persistent single-owner completion/verification pressure. For parallelizable durable-goal delivery, recommend $ultragoal + $team together: Ultragoal remains the leader-owned .omx/ultragoal ledger/Codex-goal wrapper while Team runs parallel lanes and returns checkpoint-ready evidence. Do not present Ralph as the recommended follow-up when durable goal tracking is needed; present Ultragoal as the superseding default, with Team for parallel delivery and Ralph only as an explicit fallback when its narrow persistence loop is specifically desired. Use the available-agent-types roster to produce explicit role/staffing allocation, reasoning-by-lane guidance, concrete launch hints (including omx team when parallel delivery is justified), and team verification responsibilities for any future receipt-authorized execution path.

Pre-context Intake

Before consensus planning or execution handoff, ensure a grounded context snapshot exists:

  1. Derive a task slug from the request.
  2. Reuse the latest relevant snapshot in .omx/context/{slug}-*.md when available.
  3. If none exists, create .omx/context/{slug}-{timestamp}.md (UTC YYYYMMDDTHHMMSSZ) with:
    • task statement
    • desired outcome
    • known facts/evidence
    • constraints
    • unknowns/open questions
    • likely codebase touchpoints
  4. If ambiguity remains high, gather brownfield facts first. omx explore is deprecated; use normal repository inspection tools/subagents for simple read-only repository lookups and omx sparkshell only for explicit shell-native read-only evidence. Then run $deep-interview --quick <task> before continuing.
  5. If the plan depends on official docs, version-aware framework guidance, best practices, or external dependency behavior, use $best-practice-research as the bounded evidence wrapper and auto-delegate researcher for the official/upstream lookup before finalizing the planning handoff so execution does not start from repo-local recall alone.
  6. If a prior $autoresearch or $autoresearch-goal run exists, treat its approved artifact as evidence for the plan. Do not include Autoresearch as a final architecture or runtime component unless the user explicitly requested ongoing research automation; otherwise synthesize the evidence into the $ralplan ADR, risks, and verification steps.

Do not hand off to execution modes until this intake is complete; if urgency forces progress, explicitly document the risk tradeoffs.

Pre-Execution Gate

Why the Gate Exists

Execution modes (ralph, autopilot, team, ultrawork) spin up heavy multi-agent orchestration. When launched on a vague request like "ralph improve the app", agents have no clear target — they waste cycles on scope discovery that should happen during planning, often delivering partial or misaligned work that requires rework.

The ralplan-first gate intercepts underspecified execution requests and redirects them through the ralplan consensus planning workflow. This ensures:

  • Explicit scope: A PRD defines exactly what will be built
  • Test specification: Acceptance criteria are testable before code is written
  • Consensus: Planner, Architect, and Critic agree on the approach
  • No wasted execution: Agents start with a clear, bounded task
Good vs Bad Prompts

Passes the gate (specific enough for direct execution):

  • ralph fix the null check in src/hooks/bridge.ts:326
  • autopilot implement issue #42
  • team add validation to function processKeywordDetector
  • ralph do:\n1. Add input validation\n2. Write tests\n3. Update README
  • ultrawork add the user model in src/models/user.ts

Gated — redirected to ralplan (needs scoping first):

  • ralph fix this
  • autopilot build the app
  • team improve performance
  • ralph add authentication
  • ultrawork make it better

Bypass the gate (when you know what you want):

  • force: ralph refactor the auth module
  • ! autopilot optimize everything
When the Gate Does NOT Trigger

The gate auto-passes when it detects any concrete signal. You do not need all of them — one is enough:

Signal TypeExample promptWhy it passes
File pathralph fix src/hooks/bridge.tsReferences a specific file
Issue/PR numberralph implement #42Has a concrete work item
camelCase symbolralph fix processKeywordDetectorNames a specific function
PascalCase symbolralph update UserModelNames a specific class
snake_case symbolteam fix user_modelNames a specific identifier
Test runnerralph npm test && fix failuresHas an explicit test target
Numbered stepsralph do:\n1. Add X\n2. Test YStructured deliverables
Acceptance criteriaralph add login - acceptance criteria: ...Explicit success definition
Error referenceralph fix TypeError in authSpecific error to address
Code blockralph add: \``ts ... ````Concrete code provided
Escape prefixforce: ralph do it or ! ralph do itExplicit user override
End-to-End Flow Example
  1. User types: ralph add user authentication
  2. Gate detects: execution keyword (ralph) + underspecified prompt (no files, functions, or test spec)
  3. Gate redirects to ralplan with message explaining the redirect
  4. Ralplan consensus runs:
    • Planner creates initial plan (which files, what auth method, what tests)
    • Architect reviews for soundness
    • Critic validates quality and testability
  5. Architect and Critic approval completes the local planning lifecycle only. Persist ralplan_consensus_gate.complete:false with blocked_reason:"documented_host_consensus_receipt_unavailable" and report the host blocker.
  6. Execution does not begin until a verified official host receipt authorizes the selected handoff path.
Troubleshooting
IssueSolution
Gate fires on a well-specified promptAdd a file reference, function name, or issue number to anchor the request
Want to bypass the gatePrefix with force: or ! (e.g., force: ralph fix it)
Gate does not fire on a vague promptThe gate only catches prompts with <=15 effective words and no concrete anchors; add more detail or use $ralplan explicitly
Redirected to ralplan but want to skip planningIn the ralplan workflow, say "just do it" or "skip planning" to transition directly to execution

Scenario Examples

Good: The user says continue after the workflow already has a clear next step. Continue the current branch of work instead of restarting or re-asking the same question.

Good: The user changes only the output shape or downstream delivery step (for example make a PR). Preserve earlier non-conflicting workflow constraints and apply the update locally.

Bad: The user says continue, and the workflow restarts discovery or stops before the missing verification/evidence is gathered.

© yangyuan-zhen, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .codex/skills/ralplan of yangyuan-zhen/PolyWeather.

Open the folder on GitHubat commit 43e658b

Compare with similar skills

Ralplan next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ralplan compared with similar skills
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Ralplan Consensus PlanningYeachan-Heo/gajae-code2.9k—~8.5kAutomated safety check: PassMIT
Agent Consensus Coordinatorruvnet/ruflo74k2 repos~3.2kAutomated safety check: PassMIT
Ralplanzereight/gitlab-mcp2k1 repos~365Automated safety check: PassMIT
Bio Consensus SequencesFreedomIntelligence/OpenClaw-Medical-Skills3.1k1 repos~2.2kAutomated safety check: PassNone

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Questions about Ralplan

How do I install Ralplan in Claude Code?

Run `npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a claude-code`. Or copy the skill folder (.codex/skills/ralplan in yangyuan-zhen/PolyWeather) into .claude/skills/ralplan in your project. Claude Code loads it when a task matches its description.

How do I install Ralplan in Codex?

Run `npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a codex`. Or copy the skill folder (.codex/skills/ralplan in yangyuan-zhen/PolyWeather) into .agents/skills/ralplan in your project. Codex loads it when a task matches its description.

Can I use Ralplan in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yangyuan-zhen/PolyWeather --skill ralplan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ralplan, .gemini/skills/ralplan, .github/skills/ralplan and .opencode/skills/ralplan in your project.

What does Ralplan need to run?

Going by SKILL.md and its folder, Ralplan needs the command-line tools its instructions call (make).

Does Ralplan access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ralplan safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ralplan use?

Ralplan is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ralplan use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ralplan?

Skills that share tags, products or a category with Ralplan: Ralplan (Yeachan-Heo/oh-my-claudecode, 40k stars), Ralplan Consensus Planning (Yeachan-Heo/gajae-code, 2.9k stars), Agent Consensus Coordinator (ruvnet/ruflo, 74k stars) and Ralplan (zereight/gitlab-mcp, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ralplan?

yangyuan-zhen (a GitHub user) maintains it in yangyuan-zhen/PolyWeather, which has 316 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 20, 2026.

Source: yangyuan-zhen/PolyWeather on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.