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ralplanralplan 搜索

Agent Skill

ralplan 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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1,297

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ralplan(ralplan 搜索)
来源仓库:https://github.com/yeachan-heo/oh-my-codex
仓库路径:skills/ralplan
安装命令:
npx skills add https://github.com/yeachan-heo/oh-my-codex --skill ralplan
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/yeachan-heo/oh-my-codex --skill ralplan

简介

ralplan 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装并使用该技能。
  • 安装前需确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。
  • ralplan 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Ralplan (Consensus Planning Alias)

Ralplan is a shorthand alias for $plan --consensus. It triggers iterative planning with Planner, Architect, and Critic agents until consensus is reached, with RALPLAN-DR structured deliberation (short mode by default, deliberate mode for high-risk work).

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).

Usage with interactive mode

$ralplan --interactive "task description"

Behavior

GPT-5.4 Guidance Alignment

Use the shared workflow guidance pattern: concise, evidence-dense progress and completion reporting, local overrides for the active workflow branch, persistent inspection/verification while consensus planning depends on it, right-sized implementation/PRD shape, and automatic continuation for safe reversible steps. Ask only for material, destructive, 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:

- 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)

  1. User feedback *(--interactive only)*: If --interactive is set, use AskUserQuestion 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.
  2. 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. In deliberate mode, Architect should explicitly flag principle violations.
  3. Critic evaluates against quality criteria — run only after step 3 completes. 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.
  4. Re-review loop (max 5 iterations): Any non-APPROVE Critic verdict (ITERATE or REJECT) MUST run the same full closed loop: a. Collect Architect + 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
  5. On Critic approval *(--interactive only)*: If --interactive is set, use AskUserQuestion to present the plan with approval options (Approve and execute via ralph / Approve and implement via team / Request changes / Reject). Final plan must include ADR (Decision, Drivers, Alternatives considered, Why chosen, Consequences, Follow-ups), an explicit available-agent-types roster, concrete follow-up staffing guidance for both ralph and team, suggested reasoning levels by lane, explicit omx team / $team launch hints, and a concrete team verification path. Otherwise, output the final plan and stop.
  6. *(--interactive only)* User chooses: Approve (ralph or team), Request changes, or Reject
  7. *(--interactive only)* On approval: invoke $ralph for sequential execution or $team for parallel team execution with the explicit available-agent-types roster, reasoning-by-lane guidance, role/staffing allocation guidance, launch hints, and verification-path guidance from the approved plan -- never implement directly
Important: Steps 3 and 4 MUST run sequentially. Do NOT issue both agent calls in the same parallel batch. Always await the Architect result before invoking Critic.

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

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

  1. If ambiguity remains high, gather brownfield facts first. When session guidance enables USE_OMX_EXPLORE_CMD, prefer omx explore for simple read-only repository lookups with narrow, concrete prompts; otherwise use the richer normal explore path. Then run $deep-interview --quick <task> before continuing.
  2. If the plan depends on official docs, version-aware framework guidance, best practices, or external dependency behavior, auto-delegate researcher before finalizing the planning handoff so execution does not start from repo-local recall alone.

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

  1. On consensus approval, user chooses execution path:

- ralph: sequential execution with verification - team: parallel coordinated agents

  1. Execution begins with a clear, bounded plan

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.03%
按下载量换算156

Claude

30.93%
按下载量换算130

Cursor

19.66%
按下载量换算83

Gemini CLI

9.94%
按下载量换算42

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

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安装前确认

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