Informe de auditoría del skill
sequential-opus-orchestrator Informe de auditoría.
Sequential single-Opus backlog walk over the ELAI plan corpus. Triggers when the user says "resume the opus walk", "opus walk", "continue the backlog walk", or "start the opus backlog walk". One paid Opus orchestrates FREE workers (kimi-k2.7 reads, glm-5.2 implements) to drain .elai_cc plans; a deterministic dispatch budget stops the session at a unit boundary and a FRESH Opus resumes from walk-state + handoff. Never two Opus concurrent.
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
Fallido30
21 estrellas de GitHub
Actividad de stars/forks
Fallido32
21 estrellas y 8 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
Advertencia54
command execution surface, credential or environment access
Disponibilidad de instalación
Aprobado92
npx skills add DITlieD/ELAI-archive --skill sequential-opus-orchestrator
Seguridad del comando de instalación
Aprobado92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
Fallido36
secrets or environment access, shell or command execution
Evidencia del repositorio
Aprobado86
https://github.com/DITlieD/ELAI-archive/tree/main/.agents/skills/sequential-opus-orchestrator
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 DITlieD/ELAI-archive --skill sequential-opus-orchestrator
Repositorio
88
https://github.com/DITlieD/ELAI-archive/tree/main/.agents/skills/sequential-opus-orchestrator
Licencia
86
MIT
Mantenimiento
88
1 meses desde el último push
Revisión por IA
55
The skill is highly project-specific and depends on many external files (walk_state.py, .Codex/rules/*, prompts, etc.) that are not included in the skill directory, making it non-self-contained and hard to adopt outside the ELAI repository.
Completitud de README/SKILL.md
86
Usable description available
Riesgo de dependencias
54
command execution surface, credential or environment access
Seguridad del comando de instalación
92
Ruta estándar de paquete o instalación en tiempo de ejecución
Superficie de permisos
36
secrets or environment access, shell or command execution
Actividad de stars/forks
32
21 estrellas y 8 forks; la actividad de issues no está disponible en los metadatos actuales
Adopción
42
21 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
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- The skill is highly project-specific and depends on many external files (walk_state.py, .Codex/rules/*, prompts, etc.) that are not included in the skill directory, making it non-self-contained and hard to adopt outside the ELAI repository.
- Hardcoded Windows path 'F:\.ELAI_workflow' and WSL-specific commands reduce portability across environments.
- The skill references a 'harness Agent tool' that cannot route glm/kimi, implying a dependency on a specific harness implementation not described in SKILL.md.
- Low GitHub adoption signal
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 21 GitHub stars
- Stars/forks activity: 21 stars, 8 forks; issue activity unavailable in current metadata
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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