alex-jb

5-voice AI compliance council for regulated loan origination. 11 MCP tools (loan_council, loan_council_typed, risk_tools, recall, calibration, scenarios, traceability, verify_attestation, banking_profile, disparity, size_position). FICO < 700 is a hardcoded JS conditional with pinned tests. Strict-JSON enum verdicts. AA01–AA05 adverse-action codes per CFPB Circular 2026-03. MCPTox / OX Security 2026 named-threat coverage mechanically tested.

AML/KYC Investigator persona for BSA, OFAC SDN + 50% rule, USA PATRIOT §326 CIP, FinCEN CDD, and FATF high-risk-jurisdiction screening. Hard-blocks on sanctions hit or unverified identity. Escalates on structuring, PEP, opaque beneficial ownership, GTOs. Every finding cites the specific rule. ACAMS 2026 procurement-lane persona.

Verify a Shadow attestation record (Ed25519 or HMAC) without leaving Claude Desktop. Confirms request wasn't tampered, response wasn't tampered, the exact pinned model ran, and the deployment key material matches. Use when a bank auditor hands you a persisted JSON response and asks "is this real." Works cross-language — Python shadow-verify library produces byte-identical results for the same inputs on Python 3.9–3.13.

Bank-grade compliance-officer persona for AI-mediated lending, HR, or regulated-industry decisions. Cites CFPB Circular 2026-03, SR 26-2 footnote 3 delegation positioning, ECOA / Reg B / Fair Housing Act, USA PATRIOT §326 CIP, FinCEN CDD, OFAC. Refuses to approve without human review. Never invents thresholds not in checked-in policy.

Customer-Advocate persona for adverse-action notice quality control. Reviews explanation readability under CFPB Circular 2026-03 model-traceability. Escalates on any adverse-action reason present. Never blocks — human-review path, not veto path.

Run a 5-voice data-science governance council on an ML artifact reference. Data Steward (drift), Model Validator (calibration), Fair-ML Auditor (EEOC 80% rule, always blocks on violation), Reproducibility Critic (metadata completeness), Ops Realist (p95 latency). Returns SHIP / REWORK / BLOCK with per-voice rationale. Pure computation — no LLM. Use before shipping any ML pipeline that will make consumer-facing decisions.

Macro-Contrarian persona for sector-cycle + recession-sensitivity dissent. Provides counter-narrative even when other voices approve. Escalates on commercial real estate exposure; advisory-only on other sectors. Never blocks — dissent voice, not veto voice.

5-to-6 voice AI compliance council for regulated lending. Deterministic verdict in milliseconds. Signed Ed25519 attestation. Runs in your VPC. Cites CFPB / SR 26-2 / ECOA / Reg B / BSA / OFAC / FinCEN CDD by construction. Pure-compute pass — no LLM in the tool body.

FinPos-style position sizer for trading decisions. Takes an upstream Judge direction (long/short/no_op), a bankroll, a volatility regime, and Kelly parameters — returns a fund/skip verdict with a Kelly-cap-respecting, drawdown-adjusted position size. Never emits a direction. Ports from Orallexa's Python engine to a callable skill inside Claude Desktop / Cursor / OpenCode. Pairs with any upstream direction source: a fundamental analyst, an ML model, a discretionary trader, or Orallexa's own 5-voice debate.

Run an Advocate/Critic/Judge debate over any decision with real tradeoffs. Use when the user asks whether to merge a PR, pick an architecture, hire a candidate, ship a feature, or make any judgment where both sides have valid points and a single-model answer would be too confident.

Route Claude API calls to the right tier — Haiku for structured/fast tasks, Sonnet for reasoning. Use when building any Python app or Claude Code tool that makes multiple Claude API calls and you want to cut cost without losing quality.

GenZ-native voice variant for launching solo AI creator projects in 2026. Use this skill when targeting younger AI/creator audiences on X, 小红书, 即刻, Threads, Bluesky, TikTok scripts, or any platform where the underlying language is short, ironic, self-aware, attention-priced rather than build-in-public. Sibling skill to `marketing-voice` (build-in-public OSS founder). Pick this one when the target audience is 20-25, when the platform rewards cadence + memes + native vernacular, and when the post is meant to ride attention-priced rails (Semona0x essay 2026-05-11) rather than capital-priced ones (LinkedIn longform, Dev.to tutorials).

Voice / style guide for an indie OSS founder marketing their own project. Use this skill when drafting social posts, release notes, launch announcements, Reddit posts, LinkedIn posts, dev.to articles, or any public-facing copy representing a solo developer's open-source / AI project. Optimized for build-in-public energy — concrete, technical, no hype, no salesy CTAs. Defaults to a tone that respects the reader's time and intelligence.

Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.

Run a 5-voice AI council on any decision (founder, engineer, investor, career, product, quant, or custom roster). Voices deliberate in parallel against the same model, an optional Fable 5 Oracle adjudicates, and a Brier audit module scores every voice over 30/90 days. Use when the user wants multiple expert perspectives on a hard call, when single-LLM verdicts feel overconfident, when they ask for "second opinions" or "have a council look at this," or when they want their advice tracked for calibration. Requires ANTHROPIC_API_KEY.

Forecast a Polymarket question with Claude, persist the prediction, and Brier-score it once the market resolves. Returns its own probability, market YES probability, and a mispricing delta so the user can spot calibration gaps between their tools, their gurus, and reality. Use when the user mentions a Polymarket slug, asks "is this market mispriced," wants their forecast tracked over time, or asks how calibrated their forecasting source has been over the last 7 / 30 / 90 days. The skill that tells you not just what's hot, but whether the loudest forecaster was actually right last quarter.

Rewrites AI-generated prose so it reads like a human wrote it. Detects and strips the tells that make LLM output feel corporate — em dashes as connectors, "not X but Y" rhetorical structures, aphoristic paragraphs, LinkedIn-tier vocabulary like "delve/robust/comprehensive/foster/underpin." Use before you send an email, submit an assignment, publish a blog post, or ship any text that a human will actually read and judge.