Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/jflamb/fdic-mcp-server/fdic-skill-buildernpx skills add jflamb/fdic-mcp-server --skill fdic-skill-buildergit 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-skill-builder)<a href="https://agentmods.dev/skills/jflamb/fdic-mcp-server/fdic-skill-builder"><img src="https://agentmods.dev/badge/skills/jflamb/fdic-mcp-server/fdic-skill-builder.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 | $0.00075 | $0.02336 |
| Opus 5 | $0.00037 | $0.01168 |
| Sonnet 5 | $0.00015 | $0.00467 |
| Haiku 4.5 | $0.00007 | $0.00234 |
Grade A, and why
fdic-skill-builder 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 4d 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FDIC Skill Builder
Skill Type: RIGID
Follow every phase in order. Do not skip phases. Do not write skill content before completing Phase 1.
Phase 1: Contract Verification
Before writing a single line of skill content, verify every tool the skill will call.
1a — Live tool probe
Call each tool in the planned chain with a known-good institution (e.g., CERT 57 — JPMorgan Chase Bank). Record the full response. Save it for the reference file (Phase 3c).
Server fix required gate (hard dependencies): If any hard-dependency tool returns a field validation error or an unexpected error response, stop. Fix the server bug before proceeding. Skill content written against a broken hard dependency is useless.
Rule: A skill cannot describe a hard-dependency tool that the server cannot execute. Fix the server first, write the skill second.
For soft and context tools that are broken: you may continue drafting the skill, but all structuredContent paths for that tool must be marked [source-derived] in the reference file until a live response confirms them. Note the broken tool explicitly in the skill's dependency table and add a TODO to re-verify.
Field validation errors follow this pattern: "Invalid field 'FIELDNAME' for endpoint ENDPOINT". When you see one:
- Open
src/fdicEndpointMetadata.tsand search for the endpoint section. - Verify the exact field name in the catalog. Names are case-sensitive.
- Fix the field in the source file (
src/tools/shared/*.tsor the tool file directly). - Run
npm run typecheck && npm testto confirm no regressions. - Only then return to skill development.
1b — Field catalog cross-check
For every FDIC field string referenced in tool source files (CERT,NAME,ASSET,...), grep the catalog and confirm each field exists for its endpoint:
src/fdicEndpointMetadata.ts — authoritative catalog
src/fdicSchema.ts — validation layer (uses the catalog)
Common typo classes found in this codebase:
NAMHCR→NAMEHCR(institutions endpoint, holding company name)LNOTH→ not valid for the financials endpoint (was inCREDIT_FIELDSandUBPR_FIELDS)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 197 lines · 75 tokens per session scan A ea59970c2d7e
fdic-skill-builder is a skill published in the GitHub repository jflamb/fdic-mcp-server (0 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 2,336 once invoked, about $0.0004 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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