# Risk Assessment

> Identify risk factors not adequately addressed in the thesis

- Skill: `huskydanny/risk-assessment` (Agent Skill)
- Install (CLI): `npx skillmds@latest add huskydanny/risk-assessment`
- Raw SKILL.md: https://api.skillmd.com/api/skills/huskydanny/risk-assessment/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: HuskyDanny (https://skillmd.com/u/huskydanny)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/huskydanny/risk-assessment

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## Risk Assessment Workflow

OBJECTIVE: Find risks the thesis may have overlooked or underweighted, using INDEPENDENT data sources.

### Step 1: Catalog Mentioned Risks
What risks did the thesis acknowledge?
- Keep a list to avoid duplicating

### Step 2: Check Standard Risk Categories
Use your independent tools to check for these common risks:

COMPANY-SPECIFIC:
- Use `fetch_yfinance_news` for financial health indicators (debt levels via key stats, earnings trends)
- Use `search_web_exa` for litigation, regulatory issues, executive departures

MARKET/SECTOR:
- Use `search_web_exa` for sector weakness, competitive threats, industry disruption
- Use `fetch_yfinance_news` for 52-week range positioning (near highs = less upside, near lows = why?)

SENTIMENT:
- Use `search_web_exa` for analyst downgrades, institutional selling reports
- Use `fetch_yfinance_news` for recent negative news headlines

### Step 3: Gap Analysis
Which of these risks were NOT mentioned in thesis?
- Completely missing?
- Mentioned but underweighted?

### Output Format
RISK ASSESSMENT: [SYMBOL]

RISKS MENTIONED IN THESIS:
- [List from thesis]

POTENTIALLY OVERLOOKED RISKS:
1. [Risk Category]: [Specific finding]
   Evidence: [Independent source data]
   Severity: [HIGH/MEDIUM/LOW]

2. [Next risk...]

RISK MATRIX:
| Risk | Mentioned? | Severity | Status |
|------|-----------|----------|--------|
| ...  | ...       | ...      | ...    |

BIGGEST GAP: [Most significant overlooked risk]