Prompt Cards

User Feedback Loop: High Signal Without Gaming
Design a feedback system that’s hard to game: structured feedback types, sampling, and weighting. Include how to prevent brigading and ensure minority failure modes are captured.
Tags: feedback, robustness, anti-gaming, quality, governance
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Safety Review Checklist Before Production Release
Create a production readiness review checklist: evaluation results, red-team status, privacy review, rollback tested, monitoring live, and owner sign-offs. Output a go/no-go rubric.
Tags: release-readiness, checklist, governance, monitoring, rollback
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Safe Logging: What to Log and What Not to Log
Define a safe logging policy: what to log for debugging, what to redact, retention windows, access controls, and anonymization. Include examples and anti-examples.
Tags: logging, privacy, redaction, retention, security
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Access to Secrets: Design for Zero Trust
Design a zero-trust approach: secrets management, short-lived credentials, environment segregation, and auditing. Include how to test that the AI cannot access restricted secrets.
Tags: zero-trust, secrets-management, security, audit, containment
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Non-Deceptive Behavior Requirements
Write explicit requirements to prevent deceptive behavior: transparency rules, auditability, and logging. Include tests to detect hidden policy violations or manipulation attempts.
Tags: non-deception, transparency, audit, tests, governance
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Safe Self-Reflection: How to Use Critique Without Loops
Design a safe self-reflection procedure: bounded critique, avoiding infinite loops, and ensuring critique is grounded in evidence. Provide stop rules and performance safeguards.
Tags: self-critique, bounded, stop-rules, quality, safety
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Cross-Validation: Two Models, One Decision
Create a cross-validation pattern: primary model proposes, secondary model critiques/verifies, and a policy gate decides. Include how to handle disagreements and measure error reduction.
Tags: verification, dual-model, critique, policy-gate, quality
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Safety in Multi-Agent Systems: Containment and Roles
Design a multi-agent architecture with safety: role separation, constrained tools, message filtering, and cross-checks. Include failure modes and an evaluation plan.
Tags: multi-agent, architecture, containment, cross-checks, safety
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Model Spec to Tests: Traceability Matrix
Create a traceability matrix linking requirements/specs to tests and monitors. Provide a template and a worked example for a tool-using assistant system.
Tags: traceability, requirements, tests, monitoring, governance
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Safety-First Reward Modeling (High-Level)
Describe a high-level approach to align reward signals with safe behavior: preference data guidelines, reward hacking risks, and validation. Keep it conceptual and focused on safety.
Tags: reward-modeling, alignment, safety, validation, conceptual
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Annotation Guide for Human Reviewers
Create an annotation guide: definitions, examples, severity levels, and how to handle ambiguity. Include training exercises and a QA process for reviewer consistency.
Tags: annotation, guidelines, human-review, QA, consistency
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:
Safety Benchmarks: Build a Domain-Specific Set
Help me design a domain-specific safety benchmark: representative tasks, policy-sensitive cases, and adversarial cases. Include labeling guidelines and inter-annotator agreement checks.
Tags: benchmarks, safety, domain-specific, annotation, quality
Author: Assistant
Created at: 2026-02-02 00:00:00
Average Rating:
Total Ratings:

Curio AI Brain

Available in Chrome Web Store!