Provide an accessible, form-based local key setup flow that writes to .env without command-line editing, with safety locks and zero secret leakage
Langue du texte source : anglais
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SkillsMP a collecté 10 skills depuis vortsghost2025/Genesis-Kernel-First-Humans-World-Sim. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 10 skills collectés sur 10.
Provide an accessible, form-based local key setup flow that writes to .env without command-line editing, with safety locks and zero secret leakage
Langue du texte source : anglais
Add Bible story chapters with canon anchors and a sanitizer layer that cleans raw backend output for non-technical viewers
Langue du texte source : anglais
Enforce strict source-boundary labeling in simulations that mix canon/source-grounded content with generated behavior
Langue du texte source : anglais
Build a mobile-first, accessibility-optimized viewer page for non-technical audiences to watch agent-based simulations without seeing admin details, secrets, or technical controls
Langue du texte source : anglais
Safe staged rollout pattern for Bible-inspired agent simulations: MVP → provenance → provider routing → failure hardening → dry-run → single live call → chapter framework → family viewer → story polish → visual story viewer
Langue du texte source : anglais
Implement real LLM provider request-building with dry-run mode that validates payloads, prompts, and secrets without making network calls
Langue du texte source : anglais
Test multiple NIM models against live API keys to determine which models are available, their latency, and token usage
Langue du texte source : anglais
Scaffold a provider abstraction layer for agent cognition with mock default, per-agent routing, secret-safe logging, failure hardening, and validation tests
Langue du texte source : anglais
Safely introduce exactly one live LLM API call into a running simulation with hard limits, operator checkpoint, batch blocking, and fallback validation
Langue du texte source : anglais
Enforce story-state consistency in agent simulations by validating that world state matches chapter progression, repairing contradictions before they reach viewers
Langue du texte source : anglais