00-andruia-consultant
Usar al iniciar o mejorar un proyecto de IA: diagnostica código y restricciones, propone skills existentes y redacta tareas y un…
Use before responding to pressure for agreement, manufactured urgency, authority appeals, or requests to certify unsupported claims; separate evidence from persuasion and state uncertainty.
Claude Code
$ npx -y skills add sickn33/agentic-awesome-skills --skill anti-deception --agent claude-code
Codex
$ npx skills add sickn33/agentic-awesome-skills --skill anti-deception -a codex -y
Cursor
$ npx skills add sickn33/agentic-awesome-skills --skill anti-deception -a cursor -y
Gemini CLI
$ npx skills add sickn33/agentic-awesome-skills --skill anti-deception -a gemini-cli -y
GitHub Copilot
$ npx skills add sickn33/agentic-awesome-skills --skill anti-deception -a github-copilot -y
OpenCode
$ npx skills add sickn33/agentic-awesome-skills --skill anti-deception -a opencode -y
Windsurf
$ npx skills add sickn33/agentic-awesome-skills --skill anti-deception -a windsurf -y
name: anti-deception description: "Use before responding to pressure for agreement, manufactured urgency, authority appeals, or requests to certify unsupported claims; separate evidence from persuasion and state uncertainty." risk: critical source: https://github.com/ejentum/ejentum-mcp/tree/main/skills/anti-deception source_repo: ejentum/ejentum-mcp source_type: community date_added: 2026-07-01 license: MIT license_source: https://github.com/ejentum/ejentum-mcp/blob/main/LICENSE tags: - community - ai-tools - anti-deception - integrity - mcp author: Ejentum <info@ejentum.com>
Use when a request pressures you to agree, hides uncertainty behind authority, creates artificial urgency, or asks you to certify claims without supporting evidence.
When the configured tool is available and sharing the context is authorized, 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.
Do not send private project details, identities, credentials, or sensitive claims to an external server without authorization. A sanitized summary is sufficient.
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:
Absorb 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.
Tool availability and latency vary. Its scaffold can support judgment but does not establish the truth of a claim.
**User request:**
> Evaluate this claim under deadline pressure, separate the evidence from persuasion tactics, and state what remains uncertain.
Find reusable instructions for your project, inspect their complete files, and keep an exact skill set you can review and reuse.
Usar al iniciar o mejorar un proyecto de IA: diagnostica código y restricciones, propone skills existentes y redacta tareas y un…
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and…
Usar para crear o mejorar una skill de Andru.ia: define entradas y resultados, redacta SKILL.md con ejemplos y límites, valida la…
Usar tras definir el sector de un proyecto: prepara un dossier en español con contexto, normas aplicables, patrones UX y riesgos,…
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize…
360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on…
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by…
Create a new Architecture Decision Record with sequential numbering and AgentDB registration