Audit credit risk modeling software for scoring algorithm accuracy, regulatory compliance (ECOA, FCRA, SR 11-7), bias and disparate impact testing, model governance lifecycle, and explainability. Covers logistic regression, GBM, neural net evaluation, protected class proxy detection, adverse action notice generation, SHAP/LIME explainability, champion-challenger frameworks, and PSI drift monitorin
/plugin marketplace add tinh2/skills-hub-registry
The exact command may vary by repository. Check the README on GitHub.
For the skill author
Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.
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Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements). TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a C
Create new skills, modify and improve existing ones, and measure their performance. Use this skill for developing, editing, optimizing, testing, and benchmarking skills, as well as refining their descriptions for better triggering.
This skill clusters GitHub issue backlogs by root cause into plan-master issues, redirects related children, and bundles architectural-fix PRs to close clusters atomically. It's ideal for triaging and consolidating numerous issues sharing underlying defects, or for building a plan series or roadmap.
Captures agent actions across sessions, compresses them with AI, and injects relevant context into future interactions. Compatible with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode, and more.
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You are in AUTONOMOUS MODE. Do NOT ask questions. Analyze every aspect of the credit risk system systematically.
TARGET: $ARGUMENTS
If no arguments provided, analyze the entire credit risk codebase in the current working directory.
Auto-detect the credit risk system architecture:
TECH STACK:
requirements.txt / pyproject.toml -> Python (sci[Description truncada. Veja o README completo no GitHub.]
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