| name | us-stock-researcher |
| description | US Stock Investment Research Assistant. Supports Gemini Deep Research or Claude Native Deep Research (7-Phase + GoT). Use when analyzing 10-K/10-Q reports or generating investment research reports. |
| allowed-tools | Read, Write, WebSearch, Bash(python3.11:*) |
US Stock Researcher
Institutional-grade deep analysis of US stock SEC filings, outputting professional investment reports.
Research Mode Selection
| Mode | When to Use | Requirements |
|---|
| Gemini Mode | Default when GEMINI_API_KEY is configured | GEMINI_API_KEY environment variable |
| Claude Native Mode | When no Gemini API or user requests | WebSearch tool access |
Quick Start Workflow
Path Variables
Before starting, determine these two paths:
<project_root>: The user's current working directory (where the agent session started). All output files go here.<skill_dir>: The directory containing this SKILL.md file. Use its absolute path to reference scripts.
IMPORTANT: Always use absolute paths when running scripts. Never cd into the skill directory.
Step 1: Determine Filing Period
If user did NOT specify a period, use WebSearch to find the latest filing:
WebSearch: "{company_name} latest 10-K 10-Q SEC filing"
IMPORTANT: Always analyze the MOST RECENT filing by date, regardless of type (10-K or 10-Q).
Example decision logic:
- If latest 10-K is 2024-12-31 and latest 10-Q is 2025-09-30 → Use 10-Q (more recent)
- If latest 10-K is 2025-01-15 and latest 10-Q is 2024-09-30 → Use 10-K (more recent)
Inform user: "根据搜索，{TICKER} 最新的财报是 {10-K/10-Q}（截至 {period}），将分析该期财报"
Step 2: Download Filing
python3.11 <skill_dir>/scripts/download_sec_filings.py --ticker <TICKER> --type <10-K|10-Q|6-K> --limit 1 --project-root <project_root>
Output: <project_root>/investment-research/{TICKER}/tmp/sec_filings/cleaned.txt
Step 3: Dynamic Framework Generation
- Read first 5000 characters of filing
- Identify company industry
- Select modules from
<skill_dir>/industry-analysis-modules.md
- Merge with
<skill_dir>/financial-analysis-framework.md
- Save to
<project_root>/investment-research/<TICKER>/tmp/analysis-framework-YYYY-MM-DD.md
Step 4: Execute Deep Research
Gemini Mode (full two-phase analysis):
python3.11 <skill_dir>/scripts/gemini_deep_research.py \
--input <project_root>/investment-research/<TICKER>/tmp/sec_filings/cleaned.txt \
--prompt <project_root>/investment-research/<TICKER>/tmp/analysis-framework-YYYY-MM-DD.md \
--output-dir <project_root>/investment-research/<TICKER> \
--ticker <TICKER> \
--company <Company Name> \
--phase all
Gemini Mode (local filing analysis only):
python3.11 <skill_dir>/scripts/gemini_deep_research.py \
--input <project_root>/investment-research/<TICKER>/tmp/sec_filings/cleaned.txt \
--prompt <project_root>/investment-research/<TICKER>/tmp/analysis-framework-YYYY-MM-DD.md \
--output-dir <project_root>/investment-research/<TICKER> \
--ticker <TICKER> \
--company <Company Name> \
--phase local
Gemini Mode (web research only, requires local phase output):
python3.11 <skill_dir>/scripts/gemini_deep_research.py \
--input <project_root>/investment-research/<TICKER>/tmp/sec_filings/cleaned.txt \
--prompt <project_root>/investment-research/<TICKER>/tmp/analysis-framework-YYYY-MM-DD.md \
--output-dir <project_root>/investment-research/<TICKER> \
--ticker <TICKER> \
--company <Company Name> \
--phase web \
--phase1-output <project_root>/investment-research/<TICKER>/tmp/phase1-YYYY-MM-DD.md
IMPORTANT: --phase only accepts three values: all, local, web. Do NOT use numeric values like 1 or 2.
Claude Native Mode:
Follow <skill_dir>/prompts/claude-deep-research-protocol.md for complete 7-phase execution.
Step 5: Format and Save
Format per <skill_dir>/markdown-formatter-rules.md, save to <project_root>/investment-research/{TICKER}/
Mode 1: Gemini Deep Research
User Input → Download Filing → Framework Generation → Local: Filing Analysis → Web: Market Research → Integration → Final Report
↓ ↓
(Gemini Deep Research) (Gemini Deep Research)
- Local phase (
--phase local): Upload filing via Files API, Gemini analyzes comprehensively
- Web phase (
--phase web): Web search for competitors, trends, management verification
- Integration: Claude merges local + web results per
<skill_dir>/prompts/report-merge-prompt.md
Mode 2: Claude Native Deep Research
Uses 7-Phase Deep Research + Graph of Thoughts (GoT) methodology.
For complete execution details, see: <skill_dir>/prompts/claude-deep-research-protocol.md
7-Phase Overview
| Phase | Name | Description |
|---|
| 1 | Question Scoping | Define goals, download filing |
| 2 | Retrieval Planning | Identify industry, create research plan |
| 3 | Iterative Querying | GoT branches: Financial, Competitive, Industry, Management, Risk |
| 4 | Source Triangulation | Cross-validate findings |
| 5 | Knowledge Synthesis | Structure report per framework |
| 6 | Quality Assurance | Chain-of-Verification |
| 7 | Output Packaging | Format and save |
GoT Research Branches
| Branch | Method | Focus |
|---|
| A | Read filing | Financial data analysis |
| B | WebSearch | Competitive landscape |
| C | WebSearch | Industry trends |
| D | WebSearch | Management verification |
| E | WebSearch | Risk factors |
Reference Documents
Output Location
<project_root>/investment-research/{TICKER}/
├── tmp/
│ ├── sec_filings/cleaned.txt
│ ├── analysis-framework-YYYY-MM-DD.md
│ ├── phase1-YYYY-MM-DD.md # Local phase (--phase local) output
│ └── phase2-YYYY-MM-DD.md # Web phase (--phase web) output
└── {TICKER}-Investment-Report-YYYY-MM-DD.md
Usage Examples
- "Analyze AAPL's latest 10-K annual report"
- "Deep research MSFT's 10-K filing"
- "Analyze JPM's latest annual report" (auto-selects Financial module)
- "Research PFE's financial report" (auto-selects Pharma module)
