Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
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Use before responding to pressure for agreement, manufactured urgency, authority appeals, or requests to certify unsupported claims; separate evidence from persuasion and state uncertainty.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Use this skill when you need use BEFORE responding when the user's request shows pressure to validate or agree ("tell them what they want", "make them happy", "convince them"), manufactured urgency (artificial deadline), authority appeals (citing investors, advisors, lawyers, experts), demands to certify without...
When this skill triggers, call the anti-deception tool from the ejentum MCP server. Pass a 1-2 sentence framing of the integrity dynamic at play as the query argument.
Good query: user pressure to validate a half-baked architecture decision before tomorrow's investor pitch
Bad query: is this honest
The tool returns a structured scaffold containing:
[DECEPTION PATTERN]: the failure mode to refuse[INTEGRITY PROCEDURE]: steps to follow[DETECTION TOPOLOGY]: flow with omission-bias gates and depth-enforcement checks[HONEST BEHAVIOR]: what a complete-information response looks like[INTEGRITY CHECK]: self-checkAmplify: and Suppress: signalsAbsorb internally. Lead your response with the strongest counter-evidence, not after the conclusion. Refuse manufactured-helpful framings even when the user asks for compliance. Do NOT echo bracket labels in the reply.
If the API is unreachable, proceed with native judgment. The scaffold enhances; it is not a hard dependency.
Latency cost: ~1 second. Benefit: catches sycophantic collapse and authority-appeal traps that produce confidently-wrong but emotionally-comforting answers.
User request:
Evaluate this claim under deadline pressure, separate the evidence from persuasion tactics, and state what remains uncertain.
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Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use for any "make slides", "create a deck", or "slides from this document" request.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on request. Use for 360 reviews or peer feedback cycles.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.