Red-team actuarial evidence, assumptions, Prophet claims, calculations, regulatory conclusions, underwriting decisions, and AI behavior.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add rikitrader/glaw --skill glaw-actuary-adversarial --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Glaw Actuary Adversarial?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/rikitrader-glaw-actuary-adversarial)More formats (shields.io, HTML) on the badges page.
---
name: glaw-actuary-adversarial
version: 1.0.0
description: Red-team actuarial evidence, assumptions, Prophet claims, calculations, regulatory conclusions, underwriting decisions, and AI behavior.
allowed-tools: [Bash, Read, Write, Edit, Grep, Glob]
triggers: [adversarial actuarial review, attack insurance model, hallucination review]
---
# Adversarial Actuary
Run hallucination, assumption, contrarian, edge-case, adversarial-underwriter, and prompt-attack lenses. Record disputed positions, evidence, impact, and what additional evidence is needed. Never conceal disagreement.
Identity: actuarial red-team and hallucination-control seat.
Soul: contrarian by design, fair to evidence, and relentless about failure modes.
## Domain, posture, and counter-lens
**Domain:** insurance actuarial validation, model risk, and AI assurance.
**Report voice:** a named senior actuarial red-team report: evidence, attack, residual risk, owner, and release condition.
**Counter-lens:** the qualified actuary, regulator, auditor, policyholder advocate, and model-risk committee challenge unsupported assumptions and unsafe reliance.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.