Skill
FDIC Examiner Support
A Claude Code skill that guides examiners through layering qualitative knowledge onto a public-data CAMELS proxy baseline.
The /fdic-examiner-overlay command guides an experienced bank examiner or financial analyst through enriching a public_camels_proxy_v1 baseline with qualitative knowledge not available from public Call Report data.
This is a Claude Code skill, not an MCP tool. It requires Claude Code with the plugin installed. If you are using another MCP client, you can run fdic_analyze_bank_health to get the public-data baseline, but the structured overlay workflow is only available through this skill.
When to Use It
- You have examiner-grade qualitative knowledge (examination findings, classified asset details, management assessments) that you want to systematically layer onto a public-data baseline.
- You need a blended assessment with clear provenance separation between public-data findings and examiner inputs.
- You want bounded, auditable score adjustments rather than ad-hoc narrative overlay.
When Not to Use It
- You only need the public-data baseline: Use
fdic_analyze_bank_healthdirectly. - You want a comprehensive institution report: Run Bank Deep Dive first, then use this skill to overlay examiner knowledge on the health assessment.
- You are screening a portfolio: Use Portfolio Surveillance for population-level screening.
Inputs
| Input | Required | Description |
|---|---|---|
| Institution identity | Yes | Bank name or FDIC CERT number |
| Overlay domains | Interactive | Selected during the session from: management, asset_quality, earnings, liquidity_funding, sensitivity |
| Per-domain inputs | Interactive | Direction (upgrade/downgrade/confirm), confidence level, evidence basis, and domain-specific field responses |
Capital is excluded from overlay in v1 because it is already the most rules-based component of the proxy.
Example Session
Step 1 — Invoke the skill:
/fdic-examiner-overlay
The skill asks which institution to assess, fetches the public-data baseline via fdic_analyze_bank_health, and presents the CAMELS-proxy scores.
Step 2 — Select domains to overlay:
management, asset_quality
Step 3 — Provide inputs for each domain. The skill asks structured questions: direction, confidence, evidence, and domain-specific fields (e.g., management tenure stability, board governance, internal controls).
Step 4 — Review proposed adjustments. The skill shows baseline scores, raw adjustments, confidence caps, and final adjusted scores. You confirm or revise.
Step 5 — Receive the blended output with seven sections and explicit provenance separation.
What Output to Expect
| Section | Contents |
|---|---|
| 1. Public Proxy Baseline | Institution identity, report date, overall band/score, component scores, management overlay, risk signals |
| 2. Examiner Overlay Inputs | Per-domain: direction, confidence, evidence, source date, field responses |
| 3. Overlay Adjustments | Per-domain: baseline score, raw adjustment, confidence cap, final adjustment, adjusted score |
| 4. Blended Assessment | Adjusted component scores, overall score/band, change from baseline |
| 5. Caveats | Data quality flags, mandatory provenance separation, domain-specific caveats |
| 6. Exam Narrative | Structured paragraphs attributed to source layer |
| 7. Structured Worksheet | Machine-readable JSON appendix for audit trail |
Provenance Separation
Every paragraph in the exam narrative is attributed to its source:
- “Public data indicate…“ — findings from the proxy baseline
- “Examiner overlay:” — analyst-provided qualitative inputs
- “Blended interpretation:” — combined assessment drawing on both sources
The three layers are never merged into undifferentiated prose.
How Adjustments Work
Evidence Magnitude
Each field response maps to an evidence magnitude (0.00 = no basis, 0.25 = moderate, 0.50 = strong) that quantifies the strength of the adjustment basis.
Direction and Confidence
- Upgrade: Proxy underrates the domain; examiner has evidence of strength.
- Downgrade: Proxy overrates the domain; examiner has evidence of weakness.
- Confirm: Examiner agrees with the proxy. No score change, but evidence is recorded for the audit trail.
Confidence caps the maximum adjustment: low (±0.50), medium (±0.75), high (±1.00).
Severe Overrides
Certain field responses produce a minimum adjustment floor that cannot be diluted (downgrade only): enforcement actions, deficient internal controls, absent contingency funding, IRR limits exceeded, or inadequate allowance. Each carries a 0.50 minimum floor.
Management Path
Management does not produce a component score adjustment. Instead, it modifies the management overlay state (normal / watch / elevated_concern). At elevated_concern, the final overall band is demoted one level.
Recomputation
Adjusted component scores are weighted (Capital 0.30, Asset Quality 0.25, Earnings 0.20, Liquidity 0.15, Sensitivity 0.10) and mapped to bands using the same thresholds as the proxy.
Overlay Domains
| Domain | What the Proxy Sees | What the Examiner Adds |
|---|---|---|
| Management | Algorithmic overlay from component ratings and trends | Tenure stability, governance, controls, risk management, succession, supervisory history |
| Asset Quality | NCL ratio, charge-offs, reserve coverage, noncurrent assets | Concentration risk, underwriting quality, classified trends, allowance adequacy |
| Earnings | ROA, ROE, NIM, efficiency ratio | Sustainability, diversification, expense management |
| Liquidity/Funding | Loan-to-deposit, core deposits, brokered deposits, cash ratio | Contingency plans, borrowing capacity, depositor concentration, stability |
| Sensitivity | Rate risk proxy from long-term assets and volatile liabilities | IRR model results (EVE/NII), hedging effectiveness, rate exposure |
Key Caveats
- Claude Code only: The interactive overlay workflow is not available in other MCP clients.
- Examiner knowledge required: The skill collects specific, structured inputs. Vague evidence will be re-prompted.
- Bounded adjustments: No single domain can move a score by more than ±1.0. Low-confidence inputs are further capped.
- Confidential inputs: Fields like classified asset trends and supervisory history may contain confidential supervisory information. The caveats section marks these. Handle the blended output according to your institution’s information-sharing policies.
- Capital excluded: Capital overlay is not available in v1.
- Proxy baseline: The starting point is a public-data analytical proxy, not an official CAMELS rating.
Planned Overlay Skills
| Skill | Status | Domain |
|---|---|---|
fdic-examiner-overlay |
v1 available | Management, asset quality, earnings, liquidity/funding, sensitivity |
fdic-liquidity-funding-depth |
Planned | Contingency funding, borrowing capacity, depositor concentration |
fdic-interest-rate-sensitivity-overlay |
Planned | EVE/NII results, hedging, repricing exposure |
fdic-concentration-risk-context |
Planned | CRE, sector, single-borrower, geographic concentration |
fdic-exam-narrative-generator |
Planned | Examination-quality narrative from proxy and overlay outputs |
Promotion Path
The examiner overlay is designed to stabilize through analyst use before potential promotion to a programmatic MCP tool. Promotion criteria: stable field enums, consistent scoring, stable worksheet JSON shape, and validation through real examination workflows.
Under the Hood
The skill orchestrates one MCP tool:
| Tool | Purpose |
|---|---|
fdic_analyze_bank_health |
Fetch the public_camels_proxy_v1 baseline for the target institution |
All other computation (evidence magnitudes, adjustment caps, severe overrides, recomputation) happens within the skill’s conversational logic, not through additional MCP tool calls.