القائمة
Zero-Trust Agentic Architecture & Systemic Hallucination Defense
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/Farrice/mes-knowledge-base --skill nate-b-jones-ai-trust-architectureيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
The /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.
The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).
Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.
| name | Nate B Jones - AI Trust Architecture |
| description | Zero-Trust Agentic Architecture & Systemic Hallucination Defense |
| version | 2.1 |
| format | completion-engine |
| workflows | 5 |
This skill embodies Nate B Jones's methodology for "Structural Trust Architecture." It replaces behavioral-based safety (hoping the AI tells the truth) with structural safety guarantees (engineering systems where failure is structurally impossible or contained).
| # | Workflow | Produces | Use When |
|---|---|---|---|
| zero | Zero-Trust System Architecture | Zero-Trust Agent Architecture Blueprint | Designing a new agentic workflow or multi-agent swarm from scratch to ensure structural safety. |
| cognitive | Cognitive Integrity & Governance | Decision-Grade Governance Framework | Deploying agents into live environments where human operators must interact with AI outputs without falling victim to sycophancy or cognitive overload. |
| adversarial | Adversarial Resilience & Recovery | Structural Resilience & Incident Response Manual | Conducting security audits, red-teaming existing AI deployments, or diagnosing complex system failures. |
| evidential | Evidential Trust Calibration | Trust Calibration Architecture & Evidence Ledger Blueprint | Designing how an AI system earns graduated trust through verified track records — trust ladders, small win sequences, trust repair after errors, anti-gaming defenses. |
| hybrid | Hybrid System Health & Validation Design | Production Health-State Taxonomy + Continuous Validation Architecture | Moving a production agentic system beyond binary up/down monitoring — graduated health states, reasoning-quality metrics, per-turn validation checkpoints, deterministic bridges on probabilistic cores. |
12 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.
skills/nate-b-jones-trust-architecture/references/prompts-v2/01_zero_trust_workflow_auditor.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/02_cognitive_load_eliminator.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/03_insider_threat_permissions_mapper.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/04_sycophancy_deflector.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/05_time_purpose_boundary_setter.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/06_autonomous_sabotage_red_team.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/07_skin_in_the_game_synthesizer.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/08_deepfake_safe_word_generator.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/09_decision_grade_intelligence_validator.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/10_fractal_failure_diagnostic.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/11_zero_trust_handoff_protocol.mdskills/nate-b-jones-trust-architecture/references/prompts-v2/12_bridge_that_holds_agent_flow.md