安装
npx skills add https://github.com/skindhu/skind-skills --skill us-stock-researcher
- 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:
-
- The user's current working directory (where the agent session started). All output files go here.
-
- 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:
- /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
- /industry-analysis-modules.md
- Merge with
- /financial-analysis-framework.md
- Save to
- /investment-research//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
- /prompts/claude-deep-research-protocol.md
- for complete 7-phase execution.
- Step 5: Format and Save
- Format per
- /markdown-formatter-rules.md
- , save to
- /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
/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:
/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
Document
Purpose
financial-analysis-framework.md
Base analysis framework
industry-analysis-modules.md
Industry-specific modules
markdown-formatter-rules.md
Report formatting rules
prompts/claude-deep-research-protocol.md
Claude Native 7-phase guide
prompts/report-merge-prompt.md
Gemini mode report integration
Output Location
/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)
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