Free, local risk skills — catastrophe loss metrics (EP curves, AAL, return periods, VaR/TVaR), claim grounding, and Monte Carlo simulation — plus sealed, independently verifiable runs on the QRS quantum-native engine. Don't trust the number; re-run the seal and check it yourself.
Plugin qrs from marketplace qrs-risk in QRSRisk/qrs-marketplace. Commands read from the repo's manifest — 1 month ago.
cat-metricsCompute catastrophe / actuarial loss metrics from a simulated loss table (a YELT or year-loss CSV with columns like year, [event], loss). Use this skill whenever the user has simulated or historical loss data and wants AAL (average annual loss), an EP curve, OEP/AEP exceedance curves, return-period
groundedAudit a document, AI output, slide, or marketing copy so that every figure is tied to a source. Use this skill whenever the user wants to fact-source-check, ground, or pressure-test claims before publishing: "is this deck overclaiming?", "check every number has a source", "flag unsourced stats", "fi
montecarloSimulate an uncertain outcome at scale and report a probability/percentile distribution WITH a Monte Carlo confidence interval -- and, in sealed mode, a verifiable QRS-engine run. Use this skill whenever the user wants to simulate, estimate odds, or run "what are the chances" on something uncertain:
qrs-oracleconnects to: https://api.qrsrisk.com/mcp
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Automates browser interactions for web testing, form filling, screenshots, and data extraction
12 skills
Install the "AAS Data Analytics & Business Intelligence" editorial skill bundle for Claude Code.
16 skills
Databricks skills for the CLI, Apps, Lakebase, Model Serving, Lakeflow Jobs, Spark Declarative Pipelines, Declarative Automation Bundles (DABs), and classic-to-serverless migration.
37 skills · 2 commands · hooks
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
1 MCP server
Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.
10 skills · 2 commands · 3 agents
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