assessing-credit-risk

Evaluates borrower creditworthiness using financial analysis, industry assessment, and qualitative factors with structured credit opinions. Use when assessing credit risk, writing credit opinions, or evaluating borrower quality.

11 stars

Best use case

assessing-credit-risk is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Evaluates borrower creditworthiness using financial analysis, industry assessment, and qualitative factors with structured credit opinions. Use when assessing credit risk, writing credit opinions, or evaluating borrower quality.

Teams using assessing-credit-risk should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/assessing-credit-risk/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/finance/assessing-credit-risk/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/assessing-credit-risk/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How assessing-credit-risk Compares

Feature / Agentassessing-credit-riskStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Evaluates borrower creditworthiness using financial analysis, industry assessment, and qualitative factors with structured credit opinions. Use when assessing credit risk, writing credit opinions, or evaluating borrower quality.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Assessing Credit Risk

Evaluates borrower creditworthiness using financial analysis, industry assessment, and qualitative factors to produce structured credit opinions suitable for fixed-income investment decisions, credit committee presentations, or bond trading support.

## When To Use

- Underwriting or reviewing a new credit exposure (corporate bond, loan, private placement)
- Preparing a credit opinion for an investment committee or credit committee
- Monitoring an existing credit for deterioration triggers or upgrade potential
- Comparing relative credit quality across issuers in the same sector
- Evaluating a borrower's capacity to service debt under base and stress scenarios

## Inputs To Gather

- **Issuer financials**: At least 3 years of audited income statements, balance sheets, and cash flow statements; interim statements if available
- **Debt structure**: Outstanding obligations, maturity profile, covenants, security/collateral, ranking and subordination
- **Industry context**: Sector classification, competitive positioning, cyclicality, regulatory environment
- **Management and governance**: Track record, strategy clarity, ownership structure, board composition
- **Rating agency materials** (if applicable): Existing ratings, outlooks, rating methodology criteria
- **Macro and market data**: Interest rate environment, credit spreads for comparable issuers, recent defaults in the sector
- **Purpose and scope**: Investment horizon, notional exposure size, whether this is initial assessment or surveillance update

## Workflow

1. **Define scope and materiality threshold**
   - Confirm whether the assessment is investment-grade vs. high-yield focused
   - Establish the debt instrument(s) under review and their seniority
   - Note the investment horizon and any regulatory constraints (e.g., insurance company portfolio limits) [VERIFY]

2. **Analyze financial fundamentals**
   - Compute key credit metrics: leverage (Debt/EBITDA, Net Debt/EBITDA), coverage (EBITDA/Interest, FFO/Debt), liquidity (current ratio, cash runway)
   - Trend the metrics over 3–5 years; flag inflection points or volatility
   - Assess revenue quality: concentration by customer/product/geography, recurring vs. one-time, organic vs. acquisition-driven growth
   - Evaluate free cash flow generation and capital allocation priorities (capex, dividends, buybacks, M&A)

3. **Assess debt structure and covenants**
   - Map the maturity wall: identify near-term refinancing risk
   - Review covenant package — maintenance vs. incurrence, headroom to triggers
   - Evaluate subordination and structural seniority (holdco vs. opco debt, secured vs. unsecured)
   - Determine recovery prospects under a distress scenario (collateral coverage, asset quality)

4. **Evaluate industry and competitive position**
   - Classify industry risk: growth profile, barriers to entry, regulatory intensity, technological disruption exposure
   - Position the issuer within its peer set on market share, margin profile, and scale advantages
   - Identify sector-specific risks (commodity price sensitivity, reimbursement changes, litigation exposure) [VERIFY]

5. **Assess qualitative factors**
   - Management credibility: consistency of guidance vs. actuals, capital allocation discipline
   - Governance: board independence, related-party transactions, audit quality
   - ESG considerations material to credit (environmental liabilities, labor disputes, governance red flags)
   - Event risk: M&A appetite, shareholder activism, regulatory investigations

6. **Run stress scenarios**
   - Base case: management guidance or consensus estimates
   - Downside case: revenue decline of sector-appropriate magnitude (e.g., 10–20% for cyclicals), margin compression, working capital deterioration
   - Severe case: liquidity crisis trigger — can the issuer service debt for 12–18 months with no market access?
   - Document assumptions clearly for each scenario

7. **Assign internal credit score or rating equivalent**
   - Map findings to an internal rating scale or agency-equivalent rating (AAA through D) [VERIFY — use firm's internal methodology if applicable]
   - Justify the rating with 3–5 key credit strengths and 3–5 key credit risks
   - Indicate outlook or directional bias (stable, positive, negative)

8. **Formulate credit opinion**
   - Write a concise recommendation: acceptable/not acceptable for the portfolio, or relative value view for trading
   - State position sizing guidance or exposure limits if relevant
   - Flag monitoring triggers that would prompt a reassessment (covenant breach, downgrade, earnings miss exceeding threshold)

## Output

The credit assessment report should include:

- **Executive summary**: One-paragraph credit opinion with rating, outlook, and recommendation
- **Key credit metrics table**: Leverage, coverage, liquidity ratios for historical and projected periods
- **Strengths and risks**: Bullet-pointed, ranked by materiality
- **Scenario analysis summary**: Base, downside, and severe case metric outputs
- **Debt structure overview**: Maturity profile, covenant summary, recovery analysis
- **Peer comparison**: Relative positioning on 2–3 key metrics vs. closest comparables
- **Monitoring triggers**: Specific thresholds or events that would change the credit view

## Quality Checks

- All financial metrics are sourced from audited statements or clearly marked as estimated
- Leverage and coverage ratios are calculated on a consistent basis (e.g., gross vs. net debt defined upfront, EBITDA adjustments disclosed)
- Stress scenario assumptions are explicit and internally consistent
- No unsupported superlatives ("strong balance sheet" must be backed by specific metrics)
- Covenant analysis references actual indenture or credit agreement language, not summaries [VERIFY — confirm document availability]
- Peer comparisons use issuers of similar size, sector, and geography
- Rating recommendation is consistent with the quantitative and qualitative evidence presented — no contradictions between narrative and score
- All jurisdiction-specific regulatory constraints on credit exposure are noted [VERIFY]

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