Borrowing it
Nothing to install: this file belongs to jflamb/fdic-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jflamb/fdic-mcp-server/main/.agents/skills/fdic-failure-forensics/SKILL.mdgit clone --depth 1 https://github.com/jflamb/fdic-mcp-serverWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/jflamb/fdic-mcp-server/fdic-failure-forensics)<a href="https://agentmods.dev/skills/jflamb/fdic-mcp-server/fdic-failure-forensics"><img src="https://agentmods.dev/badge/skills/jflamb/fdic-mcp-server/fdic-failure-forensics.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00096 | $0.04614 |
| Opus 5 | $0.00048 | $0.02307 |
| Sonnet 5 | $0.00019 | $0.00923 |
| Haiku 4.5 | $0.00010 | $0.00461 |
Grade A, and why
fdic-failure-forensics scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 443 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FDIC Failure Forensics
Skill Type: RIGID
Follow every phase in order. Do not skip phases. Do not produce any report output before completing Phase 3.
When to Activate
Activate when the user asks to:
- Analyze or reconstruct a bank failure
- Review what public data showed before a specific institution failed
- Perform a post-mortem or forensic review of a failed bank
- Identify early warning signals that preceded a failure
- Study a failed institution for training, pattern recognition, or case-study purposes
Do not activate for:
- Active institution deep dives — use the
fdic-bank-deep-diveskill instead - Multi-institution surveillance or screening — use the
fdic-portfolio-surveillanceskill instead
Inputs
| Parameter | Required | Default | Description |
|---|---|---|---|
| Institution identity | Yes | — | Failed bank name or FDIC CERT number |
| Pre-failure report date | No | Last quarter-end before failure date | The most recent Call Report quarter before the failure |
| Lookback window | No | 8 quarters | Number of quarters before the pre-failure report date to include in the timeline |
| Focus area | No | Overall failure narrative | Optional: funding, credit, earnings, or overall |
Dependency Table
| Tool | Tier | Purpose | On Failure |
|---|---|---|---|
fdic_search_institutions |
Hard | Resolve institution identity and confirm CERT | Hard-stop. Cannot identify the institution. |
fdic_get_institution_failure |
Hard | Retrieve failure record (date, resolution type, cost, acquirer) | Hard-stop. Cannot confirm this is a failed institution. |
fdic_search_financials |
Hard | Build the quarter-by-quarter pre-failure financial timeline | Hard-stop. Cannot reconstruct the deterioration path. |
fdic_detect_risk_signals |
Hard | Surface risk signals visible in the last reported quarter | Hard-stop. Cannot identify public-data warning signals. |
fdic_analyze_bank_health |
Soft | CAMELS-proxy assessment for the last reported quarter | Note "Detailed health assessment unavailable"; continue with raw financial and risk-signal evidence. |
fdic_search_history |
Soft | Structural events (mergers, charter changes) in the lookback window | Omit structural context; note the omission. |
fdic_analyze_funding_profile |
Context | Funding composition when deterioration implicates funding stress | Note "Funding follow-up unavailable"; preserve narrative. |
fdic_analyze_credit_concentration |
Context | Credit concentration when deterioration implicates credit risk | Note "Credit concentration follow-up unavailable"; preserve narrative. |
fdic_regional_context |
Soft | Macro/regional economic backdrop during the pre-failure period | Omit regional context section or replace with a brief note. |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 443 lines · 96 tokens per session scan A a4300841ddd0
fdic-failure-forensics is a skill published in the GitHub repository jflamb/fdic-mcp-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 96 tokens to every session and 4,614 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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