The /fdic-portfolio-surveillance command screens a defined universe of institutions, ranks them by emerging risk and relative health, and produces a decision-ready watchlist grouped into escalation tiers.

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 approximate this workflow by combining fdic_detect_risk_signals, fdic_compare_peer_health, and fdic_compare_bank_snapshots in sequence — see Choose a Workflow.

When to Use It

  • You want to screen a group of banks (state, asset tier, or specific CERTs) for emerging concerns.
  • You need a prioritized watchlist with explicit reasons for each escalation.
  • You want follow-through analysis on the most concerning institutions without running separate deep-dive prompts.

When Not to Use It

  • Analyzing a single institution: Use Bank Deep Dive instead.
  • Reconstructing a failure: Use Failure Forensics instead.
  • Quick risk scan without triage: Use fdic_detect_risk_signals directly for a flat list of flagged institutions.

Inputs

Input Required Description
Universe definition Yes State code (e.g., WY), asset range (e.g., $100M to $1B), or explicit CERT list
Report date (repdte) No Quarter-end date in YYYYMMDD format. Defaults to latest available quarter.
Comparison start date No Defaults to one year prior to report date.
Ranking emphasis No capital, earnings, funding, growth, or overall (default)
Limit No Max institutions in the ranked output. Default 25.

Examples

/fdic-portfolio-surveillance WY
/fdic-portfolio-surveillance banks with assets between $100M and $1B
/fdic-portfolio-surveillance CERTs 2232, 19184, 12591, 2208, 5442
/fdic-portfolio-surveillance NC, emphasis on funding stress, limit 10

What Output to Expect

A fixed-section report:

Section Contents
1. Universe Definition Scope, institution count, date parameters
2. Screening Summary Signal distribution, health score range, trend overview
3. Ranked Watchlist Three tiers with driver text for each institution
4. Escalated Institution Follow-Through Detailed health and domain analysis for top 3 escalated banks
5. Caveats / Date Basis Data staleness, peer set limitations, date basis transparency

Watchlist Tiers

Tier Criteria
Escalate Critical risk signals, weak health scores, persistent adverse trends
Monitor Warning-level signals without critical issues, deteriorating but not yet critical
No Immediate Concern Strong health, no signals, stable or improving trends

Each placement includes explicit reason codes — never opaque scores.

Key Caveats

  • Quarterly data basis: Screening uses quarterly Call Report data. The report states the effective REPDTE and comparison window.
  • Dollar amounts: FDIC financials are in thousands of dollars.
  • Publication lag: Data is typically available ~90 days after quarter-end. The skill warns if the report date is more than 120 days old.
  • Peer set size: If the universe produces fewer than 10 institutions, peer health comparisons are noted as limited.
  • Mixed date bases: If the skill supplements quarterly data with annual SOD data, the date basis difference is stated explicitly.
  • Screening scope: The skill focuses on screening and triage. It does not produce full narrative reports for every institution in the universe — only the top escalated banks receive detailed follow-through.
  • Proxy, not regulatory: All health and risk assessments are public-data analytical proxies, not official supervisory ratings.

Under the Hood

The skill orchestrates these MCP tools:

Tool Purpose
fdic_search_institutions Build the screening universe
fdic_detect_risk_signals Surface critical and warning-level signals per institution
fdic_compare_peer_health Rank institutions by proxy composite and component scores
fdic_compare_bank_snapshots Confirm trends via two-point financial comparison
fdic_analyze_bank_health Detailed assessment for escalated institutions
fdic_analyze_funding_profile Funding composition for escalated institutions with funding signals
fdic_analyze_credit_concentration Credit concentration for escalated institutions with credit signals
fdic_ubpr_analysis UBPR-equivalent ratios for escalated institutions
fdic_regional_context Macro/regional economic backdrop

Hard-dependency tools (institution search, risk signals, peer health, snapshots) must succeed or the skill stops. Soft-dependency tools (regional context) degrade gracefully. Context tools (funding, credit, UBPR) are invoked only for escalated institutions when signals implicate those domains.