Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/thomascasali/claude-kb-workflownpx agentmods add skills/thomascasali/claude-kb-workflow/deploy-production-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thomascasali/claude-kb-workflow/deploy-production-skill)<a href="https://agentmods.dev/skills/thomascasali/claude-kb-workflow/deploy-production-skill"><img src="https://agentmods.dev/badge/skills/thomascasali/claude-kb-workflow/deploy-production-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thomascasali/claude-kb-workflow/deploy-production-skill"><img src="https://agentmods.dev/badge/skills/thomascasali/claude-kb-workflow/deploy-production-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00047 | $0.01726 |
| Opus 5 | $0.00023 | $0.00863 |
| Sonnet 5 | $0.00009 | $0.00345 |
| Haiku 4.5 | $0.00005 | $0.00173 |
Grade A, and why
deploy-production scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s https://api.DOMINIO.com/api/health How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deploy Production Skill
Quando usare questa skill
- Deploy di qualsiasi progetto su VPS Linux con Docker Compose
- Troubleshooting container Docker in produzione
- Setup nuovo progetto su VPS esistente
- Migrazione tra VPS
Infrastruttura VPS (esempio di organizzazione multi-VPS)
| Ruolo | Provider tipo | Shell di default | Note |
|---|---|---|---|
| VPS-A (es. produzione principale) | Provider economico Europa | spesso fish su immagini default — usare bash -c |
Configurare SSH su porta non standard (es. 2222) |
| VPS-B (es. produzione secondaria) | Provider premium Europa | bash |
SSH key + porta non standard |
| Edge (es. IoT / dev locale) | Raspberry Pi / NUC | bash |
LAN o tunnel SSH |
Adatta la tabella al tuo setup. La logica della skill è agnostica rispetto al provider.
REGOLA FONDAMENTALE
deploy.sh è LOCALE (sul PC Windows), NON sul VPS!
Workflow Deploy Standard
1. Pre-deploy: Commit e Push
# SEMPRE: modifiche devono essere su Git PRIMA del deploy
cd D:/progetti/PROGETTO
git add -A && git commit -m "fix: descrizione" && git push origin main
2. Scelta Flag Deploy
# Solo backend (PHP/Node.js) — 15 secondi
./deploy.sh --backend-only
# Solo frontend (Vue/React rebuild) — 30-60 secondi
./deploy.sh --frontend-only
# Full deploy (entrambi) — 1-2 minuti
./deploy.sh
# Nuove dipendenze (composer/npm install) — 3-5 minuti
./deploy.sh --no-cache
# REGOLA: NON usare --no-cache per semplici modifiche codice!
3. Post-deploy: Verifica
# VPS_PORT="<porta-ssh>" (es. 22 o porta custom del VPS)
# Provider A (fish shell — SEMPRE bash -c)
ssh -p "$VPS_PORT" root@<VPS_A_IP> "bash -c 'cd /root/PROGETTO && docker compose ps'"
# Provider B (bash diretto)
ssh -p "$VPS_PORT" root@<VPS_B_IP> "cd /opt/PROGETTO && docker compose ps"
# Verifica logs
ssh -p "$VPS_PORT" root@VPS_IP "bash -c 'docker logs CONTAINER --tail 50'"
# Test endpoint
curl -s https://api.DOMINIO.com/api/health
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 228 lines · 47 tokens per session scan A ddd6a03085a5
deploy-production is a skill published in the GitHub repository thomascasali/claude-kb-workflow (2 stars, last pushed 14d ago), licensed MIT. It adds 47 tokens to every session and 1,726 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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