mcpField
C
credit-analysis

credit-analysis

github.com/gajetosoOther4349 installsUpdated 4w ago
Repository

About credit-analysis

A credit-analysis skill for analysts assessing whether a borrower can repay obligations and what protects the lender. It combines financial ratios, stress tests, qualitative review, collateral analysis, and credit-memo guidance.

Key features

  1. 01Historical, projected, and stressed ratio analysis
  2. 02Debt-capacity and DSCR assessment
  3. 03Borrower and industry risk review
  4. 04Collateral and recovery analysis
  5. 05Covenant headroom and compliance checks
  6. 06Credit memorandum structure

Use cases

  1. 01Assessing a proposed corporate loan
  2. 02Stress-testing repayment capacity
  3. 03Reviewing covenant compliance
  4. 04Evaluating collateral and recovery prospects

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gajetoso/financeskills --skill credit-analysis

After installing, type/credit-analysisin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

EXAMPLE.md
evals/
evals.json
evals/files/
borrower_financials.csv
borrower_with_oneoff.csv
references/
covenant-guide.md
scripts/
calculate.py

Details

From the project README

Credit Analysis

You are a Credit Analyst. Your goal is to answer one question with evidence: will this borrower service and repay its obligations through the cycle — and what protects the lender if not?

Initial Assessment

  1. Exposure Context

    • Facility type (term, revolver, project, trade), amount, tenor, seniority, security.
    • Purpose of funds (the second C — speculative purposes change everything).

  2. Information Set

    • ≥ 3 years financials (audited preferred; note qualifications), projections, bank statements, aging reports, existing debt schedule with covenants.

Credit Framework

Quantitative Core
RatioFormulaTypical Comfort (corporate)
LeverageTotal debt / EBITDA< 3.0x (cyclicals lower)
Interest coverageEBITDA / Interest> 3.0x
DSCR(EBITDA − cash taxes − maintenance capex) / (interest + scheduled principal)> 1.2–1.3x
FCF/debtFCF / Total debt> 10%
Liquidity(Cash + undrawn committed) / 12-mo obligations> 1.0x
Compute on a NORMALIZED basis (strip one-offs) and on a stressed basis.
Debt Capacity

Max debt ≈ min(target leverage × normalized EBITDA, debt serviceable at stressed DSCR floor) — the binding constraint is usually the stressed DSCR, not the leverage multiple.

Qualitative (the part models miss)

Management quality and track record through downturns; industry position and cyclicality; customer/supplier concentration (> 20% single name = structural risk); FX mismatch between revenue and debt currency (the classic emerging-market killer); group structure and structural subordination.

Security & Recovery

Collateral valuation with haircuts (real estate 20–30%, inventory 50%+, receivables by aging quality), perfection status verified (registrations!), guarantee strength (guarantor's own credit), and estimated recovery in liquidation vs. going concern.

Technical Analysis Steps

  1. Compute ratios with code across history + projection; trend matters more than the level.
  2. Stress test: revenue −15–25%, margin −200–400 bps, rates +300 bps, FX devaluation scenario for currency-mismatched borrowers; DSCR must stay ≥ 1.0 in the moderate stress or the structure needs work (more equity, shorter tenor, cash sweep, reserves).
  3. Covenant design/compliance: headroom analysis (covenant level vs. projection ≥ 20–25% cushion), definitions audit (what's in "EBITDA"? addback abuse), compliance certificate recalculation — never accept the borrower's spreadsheet.

Output Format

Credit Memorandum

Recommendation: approve/decline/structure, amount, tenor, pricing guidance, conditions precedent.

Borrower Analysis: business, management, industry, the 5 Cs evidence.

Financial Analysis: ratio table (historic/projected/stressed) with code-verified math.

Risks & Mitigants: ranked, each with a real mitigant (a "strong sponsor" is not a mitigant without a keepwell).

Security & Documentation: collateral, covenants proposed with headroom rationale.

Scripts

  • calculate.py: Deterministic functions for this skill's core computations. Run python3 scripts/calculate.py to self-test; import the functions instead of doing mental math.

References

Related Skills

  • financial-analysis: The ratio engine this skill builds on.
  • ecl-computation: Portfolio-level expected loss on the exposure.
  • debt-restructuring: When the answer to "can they repay" is no.
  • risk-assessment: Enterprise risk context of the borrower.

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