TheSmokeDev
Indexado en Registry
tokenmax-fleet-orchestrator
Run multiple TokenMax SEO/GEO sites as a resumable, fail-closed fleet. Use when Codex needs to audit a site queue, execute one isolated site at a time, preserve deterministic quality/build/deploy gates, resume interrupted runs, install a server-side scheduler, or report productio
Resumen
Run multiple TokenMax SEO/GEO sites as a resumable, fail-closed fleet. Use when Codex needs to audit a site queue, execute one isolated site at a time, preserve deterministic quality/build/deploy gates, resume interrupted runs, install a server-side scheduler, or report production and indexing state without hard-coding one website into the controller.
Leer documentación completa
Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.
TokenMax Fleet Orchestrator
Use this skill above tokenmax-site-factory. The site factory discovers and
generates one site; this skill sequences many sites and records what actually
passed, shipped, and reached production.
Start
- Read the target repo's deploy manual and its existing TokenMax/fleet files.
- Inspect active processes, worktrees, schedules, disk, and available memory.
- Read
references/stage-contract.mdand validate the fleet YAML againstreferences/fleet-config.schema.json. - Run a dry plan before any mutation:
python scripts/fleet_controller.py --config /path/to/fleet.yaml validate-config
python scripts/fleet_controller.py --config /path/to/fleet.yaml init
python scripts/fleet_controller.py --config /path/to/fleet.yaml run-next --dry-run
- Forward-test one unproven site through production before installing a recurring timer.
Controller
The controller is generic. Fleet-specific behavior belongs in YAML stage commands and a versioned repo driver. Commands receive site/stage context via environment variables and write an optional JSON stage result.
python scripts/fleet_controller.py --config /path/to/fleet.yaml status
python scripts/fleet_controller.py --config /path/to/fleet.yaml run-next --max-sites 1
python scripts/fleet_controller.py --config /path/to/fleet.yaml resume --site <id>
python scripts/fleet_controller.py --config /path/to/fleet.yaml retry --site <id>
python scripts/fleet_controller.py --config /path/to/fleet.yaml pause
python scripts/fleet_controller.py --config /path/to/fleet.yaml index-queue
Required Gates
- One clean, isolated worktree per site.
- Scan/profile confidence before content writes.
- A small rendered pilot before the full batch.
- Per-page and full-batch word, uniqueness, fact, structure, and prohibited claim validation.
- Exact app build before any commit or deploy.
- Rendered HTTP, canonical, JSON-LD, internal-link, text/HTML, robots, and sitemap validation.
- Scoped staging and the target platform's required commit identity.
- Merge current remote base and rerun affected gates before pushing.
- Production content and sitemap proof after deploy.
Pre-deploy quality failures may block one site while leaving the remaining queue eligible. Any uncertain post-push or live-production state freezes the fleet. Search Console quota exhaustion defers indexing and never weakens the build or production gates.
Indexing Boundary
Automate sitemap submission when an authorized Search Console write client is available. For ordinary pages, create a ranked top-URL queue for a persistent browser worker; do not misuse Google's restricted Indexing API. Browser quota, authentication, or UI drift is a deferred operation, not proof that a deploy failed.
Scheduling
Use the bundled systemd templates only after the canary passes. Keep one site per invocation by default, retain the process lock, and inspect existing timers before installation. A monitor may report status from another machine, but generation and builds remain on the configured server.
Rules
- Never place secrets in fleet YAML, command arguments, logs, or state JSON.
- Do not deploy from the generation skill; shipping is a separate stage here.
- Retries are for transient failures. Quality failures retain evidence and stop after their configured rewrite budget.
- Do not trust stale completion lists. Reconcile repo artifacts, live routes, sitemap state, and deployment evidence.
- Do not claim rankings, indexing, or production state from a successful local build.
Metadatos del archivo
name: tokenmax-fleet-orchestrator description: Run multiple TokenMax SEO/GEO sites as a resumable, fail-closed fleet. Use when Codex needs to audit a site queue, execute one isolated site at a time, preserve deterministic quality/build/deploy gates, resume interrupted runs, install a server-side scheduler, or report production and indexing state without hard-coding one website into the controller.
Ver texto original
--- name: tokenmax-fleet-orchestrator description: Run multiple TokenMax SEO/GEO sites as a resumable, fail-closed fleet. Use when Codex needs to audit a site queue, execute one isolated site at a time, preserve deterministic quality/build/deploy gates, resume interrupted runs, install a server-side scheduler, or report production and indexing state without hard-coding one website into the controller. --- # TokenMax Fleet Orchestrator Use this skill above `tokenmax-site-factory`. The site factory discovers and generates one site; this skill sequences many sites and records what actually passed, shipped, and reached production. ## Start 1. Read the target repo's deploy manual and its existing TokenMax/fleet files. 2. Inspect active processes, worktrees, schedules, disk, and available memory. 3. Read `references/stage-contract.md` and validate the fleet YAML against `references/fleet-config.schema.json`. 4. Run a dry plan before any mutation: ```bash python scripts/fleet_controller.py --config /path/to/fleet.yaml validate-config python scripts/fleet_controller.py --config /path/to/fleet.yaml init python scripts/fleet_controller.py --config /path/to/fleet.yaml run-next --dry-run ``` 5. Forward-test one unproven site through production before installing a recurring timer. ## Controller The controller is generic. Fleet-specific behavior belongs in YAML stage commands and a versioned repo driver. Commands receive site/stage context via environment variables and write an optional JSON stage result. ```bash python scripts/fleet_controller.py --config /path/to/fleet.yaml status python scripts/fleet_controller.py --config /path/to/fleet.yaml run-next --max-sites 1 python scripts/fleet_controller.py --config /path/to/fleet.yaml resume --site <id> python scripts/fleet_controller.py --config /path/to/fleet.yaml retry --site <id> python scripts/fleet_controller.py --config /path/to/fleet.yaml pause python scripts/fleet_controller.py --config /path/to/fleet.yaml index-queue ``` ## Required Gates - One clean, isolated worktree per site. - Scan/profile confidence before content writes. - A small rendered pilot before the full batch. - Per-page and full-batch word, uniqueness, fact, structure, and prohibited claim validation. - Exact app build before any commit or deploy. - Rendered HTTP, canonical, JSON-LD, internal-link, text/HTML, robots, and sitemap validation. - Scoped staging and the target platform's required commit identity. - Merge current remote base and rerun affected gates before pushing. - Production content and sitemap proof after deploy. Pre-deploy quality failures may block one site while leaving the remaining queue eligible. Any uncertain post-push or live-production state freezes the fleet. Search Console quota exhaustion defers indexing and never weakens the build or production gates. ## Indexing Boundary Automate sitemap submission when an authorized Search Console write client is available. For ordinary pages, create a ranked top-URL queue for a persistent browser worker; do not misuse Google's restricted Indexing API. Browser quota, authentication, or UI drift is a deferred operation, not proof that a deploy failed. ## Scheduling Use the bundled systemd templates only after the canary passes. Keep one site per invocation by default, retain the process lock, and inspect existing timers before installation. A monitor may report status from another machine, but generation and builds remain on the configured server. ## Rules - Never place secrets in fleet YAML, command arguments, logs, or state JSON. - Do not deploy from the generation skill; shipping is a separate stage here. - Retries are for transient failures. Quality failures retain evidence and stop after their configured rewrite budget. - Do not trust stale completion lists. Reconcile repo artifacts, live routes, sitemap state, and deployment evidence. - Do not claim rankings, indexing, or production state from a successful local build.
Revisar el código fuente
Precio y costes de ejecución
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- Precio sin confirmar
- Ejecutarlo
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- Licencia
- MIT
- Precio sin confirmar
- No hemos confirmado el precio. Los enlaces existentes al código y a la instalación siguen disponibles.
Obtener gratis no significa ejecutar gratis. El precio no es una evaluación de seguridad. Enviar información de precio →
Fuente del skill registrada
La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.
Revisar antes de instalar: Evitar instalación automática
Licencia: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 22 GitHub stars
- Stars/forks activity: 22 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.
Empieza con una tarea pequeña
- 1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
- 2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
- 3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.
Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.
Fuente y notas de uso
Indexado
Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.
- Repositorio fuente
- TheSmokeDev/geo-skills
- Licencia
- MIT
- Versión
- 1.0.0
- Último push de GitHub
- 3 sept 2026
- Registro actualizado
- 6 sept 2026
- Ruta de instrucciones
- skills/tokenmax-fleet-orchestrator/SKILL.md @ 35810d3ee8aa
Versión declarada en el registro; consulta las versiones de la fuente.
Calidad
57/100
Prometedor
Confianza
58/100
Do not auto-install
Auditoría
71/100
Requiere revisión
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 22 GitHub stars
- Stars/forks activity: 22 stars, 6 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Resultados
- —
Copiar no es instalar. Los recuentos requieren un informe de instalación correcta, no garantizan calidad general.
Acceso para agentes
La API Registry expone señales de decisión, confianza, auditoría, casos de uso e instalación sin raspar la interfaz.
Más detalles
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}Para el creador
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- Creador
- TheSmokeDev
- Fuente
- TheSmokeDev/geo-skills
- Indexado por
- Índice comunitario de OpenAgentSkill
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Añade las insignias de evidencia a tu README
Muestra la ficha canónica, las señales actuales de confianza y auditoría, y evidencia real de Agent-Proven donde los desarrolladores evalúan el repositorio.
[](https://www.openagentskill.com/skills/thesmokedev-tokenmax-fleet-orchestrator?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thesmokedev-tokenmax-fleet-orchestrator?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thesmokedev-tokenmax-fleet-orchestrator/audit)
[](https://www.openagentskill.com/skills/thesmokedev-tokenmax-fleet-orchestrator?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Señal de comunidad
Comparte si este skill resulta útil para tu flujo de Agent. Los comentarios agregados mejoran la clasificación con el tiempo.