About this skill
Diagnose and mitigate feedback-loop risks (bias amplification, hallucination propagation, exposure polarization) in LLM-powered recommender systems using a role-aware, phase-wise diagnostic framework. Use when: 'audit my recommendation pipeline for bias', 'check feedback loop risks in my LLM recommender', 'diagnose hallucination propagation in recommendations', 'build a feedback-loop simulation for my recommender', 'trace popularity bias through my recommendation cycles', 'add risk monitoring to my LLM-based ranking system'.
Quick start
- Copy the install prompt. Use the green button above this README.
- Send it to your agent. Paste it into your coding agent’s chat and send.
- Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.
Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.
0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1
Content SHA-256: 1bc393c4331b3d2fd787eaf9e25df74441548cba58475a5a29f54f502ff37da4
About this listing
- Category
- General
- Reported license
- Not specified
- Listing language (estimated)
- English
- Review status
- Not individually reviewed
- Agent compatibility
- Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.