Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Agent skill
Stock Question Refiner
by liangdabiao in 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。
Install Stock Question Refiner
$ npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-question-refiner -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install liangdabiao/Claude-Code-Stock-Deep-Research-Agent stock-question-refiner --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-question-refiner .claude/skills/stock-question-refiner && rm -rf skills-srcUse ~/.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/
Install the "stock-question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent/tree/main/1.claude/skills/stock-question-refiner into .claude/skills/stock-question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-question-refiner", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent/tree/main/1.claude/skills/stock-question-refinerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-question-refiner -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install liangdabiao/Claude-Code-Stock-Deep-Research-Agent stock-question-refiner --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/1.claude/skills/stock-question-refiner .agents/skills/stock-question-refiner && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "stock-question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent/tree/main/1.claude/skills/stock-question-refiner into .agents/skills/stock-question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-question-refiner", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-question-refiner -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install liangdabiao/Claude-Code-Stock-Deep-Research-Agent stock-question-refiner --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/1.claude/skills/stock-question-refiner .cursor/skills/stock-question-refiner && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "stock-question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent/tree/main/1.claude/skills/stock-question-refiner into .cursor/skills/stock-question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-question-refiner", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent.git --path 1.claude/skills/stock-question-refiner--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-question-refiner -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install liangdabiao/Claude-Code-Stock-Deep-Research-Agent stock-question-refiner --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/1.claude/skills/stock-question-refiner .gemini/skills/stock-question-refiner && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "stock-question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent/tree/main/1.claude/skills/stock-question-refiner into .gemini/skills/stock-question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-question-refiner", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install liangdabiao/Claude-Code-Stock-Deep-Research-Agent stock-question-refinerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-question-refiner -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/1.claude/skills/stock-question-refiner .github/skills/stock-question-refiner && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "stock-question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent/tree/main/1.claude/skills/stock-question-refiner into .github/skills/stock-question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-question-refiner", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-question-refiner -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install liangdabiao/Claude-Code-Stock-Deep-Research-Agent stock-question-refiner --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/1.claude/skills/stock-question-refiner .opencode/skills/stock-question-refiner && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "stock-question-refiner" agent skill from https://github.com/liangdabiao/Claude-Code-Stock-Deep-Research-Agent/tree/main/1.claude/skills/stock-question-refiner into .opencode/skills/stock-question-refiner/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "stock-question-refiner", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
stock-question-refiner- GitHub stars
- 374
- Token cost
- ~2.8k tokens
- SKILL.md length
- 757 words
- Files
- 3
- Skills in repo
- 2
- Repo updated
- First seen
- Licence
- None found
At a glance
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。
- Works in 3 steps: Initial Response - Ask Clarifying… → Wait for User Response → Generate Structured Research Prompt
- Research & Science work in your project
- SKILL.md covers Role, Core Directives, Interaction Flow and Research Prompt Quality…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Stock Question Refiner is an agent skill from 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。
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `examples.md` and `instructions.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-question-refiner”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Initial Response - Ask Clarifying Questions
- Wait for User Response
- Generate Structured Research Prompt
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 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
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
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
Stock Question Refiner loads about 2.8k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 757 words of instructions outside code blocks.
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 757 words (~2,750 tokens).
“You are a Stock Investment Research Question Refiner specializing in crafting structured investment research prompts. Your primary objectives are:”
- name
- stock-question-refiner
Files
SKILL.md and 2 other files in 1.claude/skills/stock-question-refiner of liangdabiao/Claude-Code-Stock-Deep-Research-Agent.
- SKILL.md
- examples.md
- instructions.md
Open the folder on GitHubat commit 3299e26
Compare with similar skills
Stock Question Refiner 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Stock Question Refiner this skillliangdabiao/Claude-Code-Stock-Deep-Research-Agent | 374 | — | ~2.8k | Automated safety check: Pass | None | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
More from liangdabiao/Claude-Code-Stock-Deep-Research-Agent
Stock Research Executor
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。
Related
Categories
Questions about Stock Question Refiner
What does Stock Question Refiner do?
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。. Stock Question Refiner is an agent skill from liangdabiao/Claude-Code-Stock-Deep-Research-Agent.
When should I use Stock Question Refiner?
Stock Question Refiner fits situations like: research & Science work in your project.
How do I install Stock Question Refiner in Claude Code?
Run `npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-question-refiner -a claude-code`. Or copy the skill folder (1.claude/skills/stock-question-refiner in liangdabiao/Claude-Code-Stock-Deep-Research-Agent) into .claude/skills/stock-question-refiner in your project. Claude Code loads it when a task matches its description.
How do I install Stock Question Refiner in Codex?
Run `npx skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-question-refiner -a codex`. Or copy the skill folder (1.claude/skills/stock-question-refiner in liangdabiao/Claude-Code-Stock-Deep-Research-Agent) into .agents/skills/stock-question-refiner in your project. Codex loads it when a task matches its description.
Can I use Stock Question Refiner 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-question-refiner -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-question-refiner, .gemini/skills/stock-question-refiner, .github/skills/stock-question-refiner and .opencode/skills/stock-question-refiner in your project.
What does Stock Question Refiner need to run?
SKILL.md names no scripts, command-line tools or credentials: Stock Question Refiner is instructions for the agent only.
Does Stock Question Refiner 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 Stock Question Refiner 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 Question Refiner use?
No licence was found for Stock Question Refiner or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Stock Question Refiner use?
About 2.8k tokens (SKILL.md is roughly 11k 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 Question Refiner?
Skills that share tags, products or a category with Stock Question Refiner: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Stock Question Refiner?
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.