Agent skill

Stock Research Executor

by liangdabiao in liangdabiao/Claude-Code-Stock-Deep-Research-Agent

股票投资调研执行引擎,执行8阶段投资尽调流程。接收stock-question-refiner生成的结构化调研指令,部署多智能体并行研究,生成带引用的投资尽调报告。覆盖:公司事实底座、行业周期、业务拆解、财务质量、股权治理、市场分歧、估值护城河、综合报告。当用户需要进行股票投资研究、基本面分析、投资尽调时使用此技能。

No licenceAuto-check passedResearch & Science

Install Stock Research Executor

skills CLI
$ npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-research-executor -a claude-code

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

GitHub CLI
$ gh skill install liangdabiao/Claude-Code-Stock-Deep-Research-Agent stock-research-executor --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/liangdabiao/Claude-Code-Stock-Deep-Research-Agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/1.claude/skills/stock-research-executor .claude/skills/stock-research-executor && 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
stock-research-executor
GitHub stars
374
Token cost
~3.9k tokens
SKILL.md length
1,287 words
Files
4
Skills in repo
2
Repo updated
First seen
Licence
None found

At a glance

股票投资调研执行引擎,执行8阶段投资尽调流程。接收stock-question-refiner生成的结构化调研指令,部署多智能体并行研究,生成带引用的投资尽调报告。覆盖:公司事实底座、行业周期、业务拆解、财务质量、股权治理、市场分歧、估值护城河、综合报告。当用户需要进行股票投资研究、基本面分析、投资尽调时使用此技能。

  • Works in 12 steps: Business Foundation (公司事实底座) → Industry Analysis (行业周期分析) → Business Breakdown (业务拆解) → …
  • Research & Science work in your project
  • SKILL.md covers Role, Core Responsibilities, The 8-Phase Investment… and Research Execution Workflow, plus 4 more sections
  • Reaches cninfo.com.cn

What it does

Stock Research Executor is an agent skill from liangdabiao/Claude-Code-Stock-Deep-Research-Agent. 股票投资调研执行引擎,执行8阶段投资尽调流程。接收stock-question-refiner生成的结构化调研指令,部署多智能体并行研究,生成带引用的投资尽调报告。覆盖:公司事实底座、行业周期、业务拆解、财务质量、股权治理、市场分歧、估值护城河、综合报告。当用户需要进行股票投资研究、基本面分析、投资尽调时使用此技能。

Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `examples.md`, `instructions.md` and `phases.md`).

It sits in Research & Science. The repository describes itself as: 本研究基于 Claude Code Deep Research 系统: 方法论: 8阶段股票投资尽调框架 智能体: 28个并行研究智能体 工具: WebSearch、WebFetch、综合分析 质量: 多空平衡、明确风险、数据验证。简单使用:/stock-research AAPL, I want a quick overview.

When your agent uses it

  • Research & Science work in your project

Example prompts

  • “/stock-research-executor”

Requirements

  • Pre-approved tools (allowed-tools): Task, WebSearch, WebFetch, mcp__web_reader__webReader, Read, Write, TodoWrite

Workflow steps

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

  1. Business Foundation (公司事实底座)
  2. Industry Analysis (行业周期分析)
  3. Business Breakdown (业务拆解)
  4. Financial Quality (财务质量)
  5. Governance Analysis (股权与治理)
  6. Market Sentiment (市场分歧)
  7. Valuation & Moat (估值与护城河)
  8. Final Synthesis (综合报告)
  9. Verify and Understand the Structured Prompt
  10. Create Research Execution Plan
  11. Deploy Multi-Agent Research (Phases 1-7)
  12. Coordinate and Synthesize Results

What it can do on your machine

Read from SKILL.md and the folder at commit 3299e26. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Task
    • WebSearch
    • WebFetch
    • mcp__web_reader__webReader
    • Read
    • Write
    • TodoWrite

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • cninfo.com.cn

    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

Stock Research Executor loads about 3.9k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 1,287 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~46
When it runs · the whole SKILL.md, loaded when a task matches
~3.9k

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 1,287 words (~3,868 tokens).

“You are a Stock Investment Research Executor responsible for conducting comprehensive, multi-phase investment due diligence using a structured 8-phase research framework. Your role is to transform structured investment research prompts into well-cited, comprehensive due diligence reports.”

— opening of SKILL.md by liangdabiao
name
stock-research-executor
allowed-tools
Task, WebSearch, WebFetch, mcp__web_reader__webReader, Read, Write, TodoWrite

Read the full SKILL.md on GitHub

Files

SKILL.md and 3 other files in 1.claude/skills/stock-research-executor of liangdabiao/Claude-Code-Stock-Deep-Research-Agent.

  • SKILL.md
  • examples.md
  • instructions.md
  • phases.md

Open the folder on GitHubat commit 3299e26

Compare with similar skills

Stock Research Executor 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.

Stock Research Executor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Stock Research Executor this skillliangdabiao/Claude-Code-Stock-Deep-Research-Agent374—~3.9kAutomated safety check: PassNone
Academic Paper Composerlishix520/academic-paper-skills1.4k2 repos~6.3kAutomated safety check: PassMIT
Clinical Trials Databasegoogle-deepmind/science-skills3.2k2 repos~3.2kAutomated safety check: PassApache-2.0
Scientific Brainstormingspacering-net/codeg3.9k13 repos~2kAutomated safety check: PassMIT
MFA Pipeline Orchestratoraiming-lab/AutoResearchClaw15k—~923Automated safety check: PassMIT
Research RefinezjYao36/Auto-Research-Refine1286 repos~6.9kAutomated safety check: NotesNone

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  • Academic Paper Composer

    lishix520/academic-paper-skills

    Systematic writing framework for philosophy and interdisciplinary academic papers from optimized outline to submission-ready manuscript.

    1.4k GitHub starsUsed in 2 repos~6.3k tokens
    Research & ScienceAuto-check passed
  • Clinical Trials Database

    google-deepmind/science-skills

    Query ClinicalTrials.gov via APIv2. An agent skill from google-deepmind/science-skills.

    3.2k GitHub starsUsed in 2 repos~3.2k tokens
    Research & ScienceAuto-check passed
  • Scientific Brainstorming

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    3.9k GitHub starsUsed in 13 repos~2k tokens
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  • MFA Pipeline Orchestrator

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    15k GitHub stars~923 tokensUpdated 1 mo ago
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  • Research Refine

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    Turns a vague research direction into a focused, problem-anchored method plan through up to five review rounds with a second model.

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More from liangdabiao/Claude-Code-Stock-Deep-Research-Agent

  • Stock Question Refiner

    liangdabiao/Claude-Code-Stock-Deep-Research-Agent

    股票投资调研问题细化技能。将用户提供的股票名称/代码细化为结构化的8阶段投资尽调指令。通过提问澄清投资风格(价值/成长/困境反转)、持有周期(短/中/长线)、风险偏好、研究重点,生成符合专业投资研究标准的结构化调研任务。当用户提到股票分析、投资研究、股票尽调时使用此技能。

    374 GitHub stars~2.8k tokensUpdated 7 mo ago
    Auto-check passed

Questions about Stock Research Executor

What does Stock Research Executor do?

股票投资调研执行引擎,执行8阶段投资尽调流程。接收stock-question-refiner生成的结构化调研指令,部署多智能体并行研究,生成带引用的投资尽调报告。覆盖:公司事实底座、行业周期、业务拆解、财务质量、股权治理、市场分歧、估值护城河、综合报告。当用户需要进行股票投资研究、基本面分析、投资尽调时使用此技能。. Stock Research Executor is an agent skill from liangdabiao/Claude-Code-Stock-Deep-Research-Agent.

When should I use Stock Research Executor?

Stock Research Executor fits situations like: research & Science work in your project.

How do I install Stock Research Executor in Claude Code?

Run `npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-research-executor -a claude-code`. Or copy the skill folder (1.claude/skills/stock-research-executor in liangdabiao/Claude-Code-Stock-Deep-Research-Agent) into .claude/skills/stock-research-executor in your project. Claude Code loads it when a task matches its description.

How do I install Stock Research Executor in Codex?

Run `npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-research-executor -a codex`. Or copy the skill folder (1.claude/skills/stock-research-executor in liangdabiao/Claude-Code-Stock-Deep-Research-Agent) into .agents/skills/stock-research-executor in your project. Codex loads it when a task matches its description.

Can I use Stock Research Executor 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 liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-research-executor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/stock-research-executor, .gemini/skills/stock-research-executor, .github/skills/stock-research-executor and .opencode/skills/stock-research-executor in your project.

What does Stock Research Executor need to run?

SKILL.md names no scripts, command-line tools or credentials: Stock Research Executor is instructions for the agent only. Its frontmatter pre-approves these tools: Task, WebSearch, WebFetch, mcp__web_reader__webReader, Read, Write, TodoWrite.

Does Stock Research Executor access the network?

SKILL.md names 1 domain. In commands or code: cninfo.com.cn; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Stock Research Executor 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 Stock Research Executor use?

No licence was found for Stock Research Executor or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Stock Research Executor use?

About 3.9k tokens (SKILL.md is roughly 15k 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 Stock Research Executor?

Skills that share tags, products or a category with Stock Research Executor: Academic Paper Composer (lishix520/academic-paper-skills, 1.4k stars), Clinical Trials Database (google-deepmind/science-skills, 3.2k stars), Scientific Brainstorming (spacering-net/codeg, 3.9k stars) and MFA Pipeline Orchestrator (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Stock Research Executor?

liangdabiao (a GitHub user) maintains it in liangdabiao/Claude-Code-Stock-Deep-Research-Agent, which has 374 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on March 7, 2026.

Source: liangdabiao/Claude-Code-Stock-Deep-Research-Agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.