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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

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Prix non confirmé★ 22 Stars GitHubRegistre mis à jour · 6 sept. 2026agent-skill

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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.md and validate the fleet YAML against references/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.

Voir la source ↗

Métadonnées du fichier

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.

Voir le texte 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.

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Prix et coûts d’utilisation

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Licence: MIT
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Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →

Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: 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

Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source: TheSmokeDev/geo-skills
Licence: MIT
Version: 1.0.0
Dernier push GitHub: 3 sept. 2026
Registre mis à jour: 6 sept. 2026
Chemin des instructions: skills/tokenmax-fleet-orchestrator/SKILL.md @ 35810d3ee8aa

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

57/100

Prometteur

Confiance

58/100

Do not auto-install

Audit

71/100

Revue nécessaire

Ouvrir l’audit complet Voir le rapport d’évaluation

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: —
Résultats: —

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

Accès agent

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Ouvrir l’API d’installation Format texte LLM Ouvrir Manifest Plan de résolution auto

Plus de détails

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    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20tokenmax-fleet-orchestrator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20tokenmax-fleet-orchestrator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/thesmokedev-tokenmax-fleet-orchestrator/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/thesmokedev-tokenmax-fleet-orchestrator"
  }
}

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur: TheSmokeDev
Source: TheSmokeDev/geo-skills
Indexé par: Index communautaire OpenAgentSkill

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