ruflo-iot-cognitum
claudeIoT device lifecycle, telemetry anomaly detection, fleet management, and witness chain verification for Cognitum Seed hardware
5 skills · 1 command · 4 agents
Adversarial verification of code, architecture, data, documentation, tests, analysis and UX: Chain-of-Verification with typed findings (demonstrated defect, preventive measure, falsified hypothesis), project invariants, evidence-based confidence, consent before running anything, and validation of plans with spikes and mock-ups before code
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin adversarial-verify in fullo/claude-adversarial-skill. Commands read from the repo's manifest — 23 days ago.
adversarial-verifyAdversarial verification of code, architecture, data, documentation, tests, analysis or UX using Chain-of-Verification (CoV) with abstractive red-teaming, hidden behavior probing, stress techniques, and tri-modal reasoning (deductive, inductive, abductive). Identifies failure categories, detects und
IoT device lifecycle, telemetry anomaly detection, fleet management, and witness chain verification for Cognitum Seed hardware
5 skills · 1 command · 4 agents
Find and verify professional email addresses, search contacts by domain, and enrich company data -- directly in Claude.
13 skills · 1 MCP server
Portable operating method: session lifecycle agents, pre-ship code review, deploy with live verification and state doc update, and production log health check
5 agents
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security, incident-response, red-team, threat-detection. v2.8.1 audits senior-fullstack / senior-frontend / senior-backend against karpathy-coder + Matt Pocock — each ships a 7-question forcing-question library, 4 customization profiles (JSON), deterministic decision engine, composition map into POWERFUL specialists, plus cs-fullstack-engineer / cs-frontend-engineer / cs-backend-engineer orchestrator agents (context: fork) + /cs-fullstack-review, /cs-frontend-review, /cs-backend-review, /cs-engineer-grill slash commands.
35 skills · hooks
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).
19 skills
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Includes LaTeX templates, citation verification, reviewer guidelines, publication-quality figure generation, systems paper structural blueprints, and conference presentation slides.
98 skills
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