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By alexclowe
Audit AI systems for regulatory compliance under EU AI Act, FINRA, FDA, and other frameworks. Generate high-risk assessments, compliance documentation, post-market monitoring reports, and autonomous agent evaluation harnesses.
npx claudepluginhub alexclowe/awesome-claude-cowork-plugins --plugin ai-compliance-officerMap an AI system against EU AI Act Annex III high-risk criteria and generate a compliance risk assessment with citations
Generate a test harness for hallucination, bias, scope creep, and reward misalignment per FINRA 2026 guidelines
Draft EU AI Act quality management system docs, risk management framework, and conformity assessment package
Ingest EU/FINRA/FDA/SEC guidance updates, flag impact on the user's deployed systems, and generate a change-impact report
Auto-detect EU AI Act Annex III categories and US-state high-risk equivalents for any described AI system
Ingest AI-system incident reports, cluster failure patterns, and generate FDA/EU-style remediation recommendations
Share bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Plan summaries, portfolio reviews, tax-loss harvesting, ESG screens, regulatory tracking, and multi-jurisdiction tax
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich documentation with dark-mode VitePress sites, onboarding guides, deep research, and source citations. Inspired by OpenDeepWiki and deepwiki-open.
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault (Karpathy's LLM Wiki pattern). v1.7 "Compound Vault" + v1.8 methodology modes close 5 of 5 priority gaps from the May 2026 compass artifact. Ships: substrate alignment with kepano/obsidian-skills, default Obsidian CLI transport, hybrid retrieval (contextual prefix + BM25 + cosine rerank per Anthropic's Sept 2024 research), per-file advisory locking for multi-writer safety, pre-commit verifier agent, AND methodology modes (LYT / PARA / Zettelkasten / Generic) for first-class organizational support no other Claude+Obsidian competitor offers. v1.7.x audit closure: every BLOCKER + HIGH + MEDIUM + LOW finding from the v1.7.0 audit is CLOSED or DEFERRED-with-rationale. Optional DragonScale Memory extension (log folds, deterministic addresses, semantic tiling lint, boundary-first autoresearch).
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Summarize depositions, build case timelines, draft motions, and manage discovery holds
Draft financial summaries, prepare reconciliation reports, and generate client communications
Draft client proposals, write executive summaries, and turn meetings into action plans
Write project proposals, draft spec sheets, and create client presentations
Build evals, A/B test prompts, audit skills, and benchmark LLM outputs at production quality
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