Informe de auditoría del skill
aidd-context:01:bootstrap Informe de auditoría.
Imagine and validate the technical architecture of a new SaaS through interactive Q&A, candidate-stack comparison, multi-agent audit, and an INSTALL.md output. Use when starting a new SaaS project, choosing a stack, designing the architecture pattern (monolith vs microservices vs serverless), or producing a project's INSTALL.md. Do NOT use for editing an existing project's stack (use direct edits or `aidd-dev:01:plan`), database schema design, or scaffolding actual files (this skill produces docs only, no code).
Trust Score de OpenAgentSkill
Trust Score de OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopción en GitHub
Info62
455 estrellas de GitHub
Actividad de stars/forks
Advertencia57
455 estrellas y 38 forks; la actividad de issues no está disponible en los metadatos actuales
Mantenimiento reciente
Aprobado88
1 meses desde el último push
Claridad de licencia
Aprobado86
MIT
Completitud de README/SKILL.md
Aprobado86
Los metadatos incluyen suficiente contexto de uso y flujo de trabajo
Riesgo de dependencias/runtime
Info64
command execution surface, database surface
Disponibilidad de instalación
Aprobado92
npx skills add ai-driven-dev/framework --skill aidd-context:01:bootstrap
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Advertencia50
shell or command execution, filesystem or document access
Evidencia del repositorio
Aprobado86
https://github.com/ai-driven-dev/framework/tree/main/cli/tests/fixtures/framework-real/plugins/aidd-context/skills/01-bootstrap
Estado de revisión
Info66
Hay datos de revisión por IA disponibles
Resultados comprobados por Agent
Info54
Aún no hay datos de resultados del Agent
Comprobaciones
Revisión de instalación y adopción
Ruta de instalación
92
npx skills add ai-driven-dev/framework --skill aidd-context:01:bootstrap
Repositorio
88
https://github.com/ai-driven-dev/framework/tree/main/cli/tests/fixtures/framework-real/plugins/aidd-context/skills/01-bootstrap
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
Inconsistent item counts: SKILL.md says 24-item checklist (18 user-input + 6 derived), but assets/checklist.md is described as '17-item checklist' and action 05 references 'all 17 items'. Clarify the exact number.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
64
command execution surface, database surface
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
50
shell or command execution, filesystem or document access
Actividad de stars/forks
57
455 estrellas y 38 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
68
455 estrellas de GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Advertencias
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Inconsistent item counts: SKILL.md says 24-item checklist (18 user-input + 6 derived), but assets/checklist.md is described as '17-item checklist' and action 05 references 'all 17 items'. Clarify the exact number.
- The skill description mentions '17-item checklist' in the assets section, which conflicts with the 24-item count used elsewhere.
- Action 01 says '17-item checklist' in the process step 1, but the skill overview says 24 items. This could confuse agents.
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- Stars/forks activity: 455 stars, 38 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
Método
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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