Agent skill

Plan Mode Orchestrator

by okikusan-public in okikusan-public/stock_skills

Runs a seven-agent planning workflow, started by asking for plan mode, that designs, executes, loops and reviews analysis work for stock portfolio decisions.

No licenceAuto-check passedBusiness, Finance & HR

SKILL.md written in Japanese; this summary is our English description.

Install Plan Mode Orchestrator

skills CLI
$ npx skills add okikusan-public/stock_skills --skill plan-execute -a claude-code

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

GitHub CLI
$ gh skill install okikusan-public/stock_skills plan-execute --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/okikusan-public/stock_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/plan-execute .claude/skills/plan-execute && 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
plan-execute
GitHub stars
135
Token cost
~2.5k tokens
SKILL.md length
639 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
None found

At a glance

Runs a seven-agent planning workflow, started by asking for plan mode, that designs, executes, loops and reviews analysis work for stock portfolio decisions.

  • Works in 6 steps: Pre-Plan → Plan(3名並列) → Execute → …
  • Asking for a plan-mode review of a stock portfolio before acting on trades
  • SKILL.md covers トリガー, エージェント構成(7名), 動作フロー and Phase間の出力スキーマ, plus 4 more sections
  • Calls python3

What it does

This skill, written in Japanese, turns a request such as 'in plan mode' into a coordinated workflow led by an Orchestrator with seven agents. A Context Analyst adds historical and macro background for investment decisions, a Strategist designs options from growth, value, macro and contrarian angles, a Lesson Checker confirms that past lessons are applied, and a Devil's Advocate points out blind spots.

Two reviewers then check the result, one on numbers, taxes, currency allocation and constraints, the other on thesis fit and risks. The Orchestrator must give numeric grounds when it rejects an agent's point, moves between phases without asking you, and asks for confirmation only before actions are carried out. The first phase pulls graph context and lesson constraints with scripts/get_context.py and scripts/extract_constraints.py, reads config/user_profile.yaml, and checks upcoming earnings by web search or yfinance.

When your agent uses it

  • Asking for a plan-mode review of a stock portfolio before acting on trades
  • Designing a multi-step investment analysis workflow with built-in review
  • Checking a proposed portfolio change against past lessons and known risks

Example prompts

  • “Run plan mode: should I rebalance my holdings before next week's earnings?”
  • “Plan mode: review my portfolio's currency allocation and tax cost.”
  • “Use plan mode to design a workflow for choosing replacement stocks.”

Requirements

  • Python 3
  • The repository's get_context.py and extract_constraints.py scripts
  • A config/user_profile.yaml file (defaults apply if it is missing)

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Pre-Plan
  2. Plan(3名並列)
  3. Execute
  4. 結果評価 + 自律ループ
  5. Review(2名並列)
  6. 最終まとめ

What it can do on your machine

Read from SKILL.md and the folder at commit 6bc1be2. 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:

    • python3

    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

Plan Mode Orchestrator loads about 2.5k tokens when it runs. Until then it costs about 21 tokens; SKILL.md has 639 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~21
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 639 words (~2,491 tokens).

name
plan-execute
user_invocable
true

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/plan-execute of okikusan-public/stock_skills.

Open the folder on GitHubat commit 6bc1be2

Compare with similar skills

Plan Mode Orchestrator 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.

Plan Mode Orchestrator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Plan Mode Orchestrator this skillokikusan-public/stock_skills135—~2.5kAutomated safety check: PassNone
Yahoo Finance24mlight/StockClaw1012 repos~1.1kAutomated safety check: NotesMIT
Stock Analysisliusai0820/Stock-Analysis-Skill142—~904Automated safety check: NotesNone
US Market Data ToolkitGeeksfino/finskills283—~1.2kAutomated safety check: PassApache-2.0
yfinance Market DataHKUDS/Vibe-Trading35k—~2.2kAutomated safety check: PassMIT
AKShare Financial DataHKUDS/Vibe-Trading35k—~777Automated safety check: PassMIT

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Works with

Questions about Plan Mode Orchestrator

What does Plan Mode Orchestrator do?

Runs a seven-agent planning workflow, started by asking for plan mode, that designs, executes, loops and reviews analysis work for stock portfolio decisions. This skill, written in Japanese, turns a request such as 'in plan mode' into a coordinated workflow led by an Orchestrator with seven agents. A Context Analyst adds historical and macro background for investment decisions, a Strategist designs options from growth, value, macro and contrarian angles, a Lesson Checker confirms that past lessons are applied, and a Devil's Advocate points out blind spots.

When should I use Plan Mode Orchestrator?

Plan Mode Orchestrator fits situations like: asking for a plan-mode review of a stock portfolio before acting on trades; designing a multi-step investment analysis workflow with built-in review; checking a proposed portfolio change against past lessons and known risks.

How do I install Plan Mode Orchestrator in Claude Code?

Run `npx skills add okikusan-public/stock_skills --skill plan-execute -a claude-code`. Or copy the skill folder (.claude/skills/plan-execute in okikusan-public/stock_skills) into .claude/skills/plan-execute in your project. Claude Code loads it when a task matches its description.

How do I install Plan Mode Orchestrator in Codex?

Run `npx skills add okikusan-public/stock_skills --skill plan-execute -a codex`. Or copy the skill folder (.claude/skills/plan-execute in okikusan-public/stock_skills) into .agents/skills/plan-execute in your project. Codex loads it when a task matches its description.

Can I use Plan Mode Orchestrator 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 okikusan-public/stock_skills --skill plan-execute -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plan-execute, .gemini/skills/plan-execute, .github/skills/plan-execute and .opencode/skills/plan-execute in your project.

What does Plan Mode Orchestrator need to run?

Going by SKILL.md and its folder, Plan Mode Orchestrator needs the command-line tools its instructions call (python3). Our summary lists: Python 3; The repository's get_context.py and extract_constraints.py scripts; A config/user_profile.yaml file (defaults apply if it is missing).

Does Plan Mode Orchestrator 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 Plan Mode Orchestrator 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 Plan Mode Orchestrator use?

No licence was found for Plan Mode Orchestrator or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Plan Mode Orchestrator use?

About 2.5k tokens (SKILL.md is roughly 10k 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 Plan Mode Orchestrator?

Skills that share tags, products or a category with Plan Mode Orchestrator: Yahoo Finance (24mlight/StockClaw, 101 stars), Stock Analysis (liusai0820/Stock-Analysis-Skill, 142 stars), US Market Data Toolkit (Geeksfino/finskills, 283 stars) and yfinance Market Data (HKUDS/Vibe-Trading, 35k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Plan Mode Orchestrator?

okikusan-public (a GitHub user) maintains it in okikusan-public/stock_skills, which has 135 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on April 25, 2026.

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