us-stock-researcher
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.
How do I install this agent skill?
npx skills add https://github.com/skindhu/skind-skills --skill us-stock-researcherIs this agent skill safe to install?
- Gen Agent Trust Hubpass
US Stock Researcher is a specialized financial analysis tool that automates the acquisition and processing of SEC filings. It utilizes a multi-phase research strategy involving data cleaning, local analysis, and web verification. The skill follows security best practices by implementing dedicated sanitization for external content and using official APIs for extended context handling. It is classified as low risk due to its inherent handling of external financial documents.
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What does this agent skill do?
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
| 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
<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)
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/skindhu/skind-skills/us-stock-researcher">View us-stock-researcher on skillZs</a>