ag-3-entregar

ag-3-entregar is a skill for Claude Code from andregusman-raiz/a-gusman-claude. It costs 38 tokens per session (830 once invoked), scanned A, original, MIT.

An automated deployment workflow that moves a project through preview, staging, or production, with checks before and after release. It also supports monitored rollbacks and recovery attempts.

In plain words
What is it for?
Use it to run preflight checks, build and deploy applications, perform smoke tests, monitor releases, resume interrupted work, or roll back a release.
Why use it?
It organizes the many steps of releasing software and helps catch problems before or after deployment.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Good fit Use it to run preflight checks, build and deploy applications, perform smoke tests, monitor releases, resume interrupted work, or roll back a release.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andregusman-raiz/a-gusman-claude/ag-3-entregar
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add andregusman-raiz/a-gusman-claude --skill ag-3-entregar
Clone the repo
git clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claude

Made for: Claude Code.

Wrote 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.

agentmods badge for ag-3-entregar

README.md
[![agentmods](https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-3-entregar/github.svg)](https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-3-entregar)
Your own site
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-3-entregar"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-3-entregar/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.

agentmods 80×15 button for ag-3-entregar

Your own site · 80×15
<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-3-entregar"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-3-entregar.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 830 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 4
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • medium Excessive Agency · line 57
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.00830
Opus 5 $0.00019 $0.00415
Sonnet 5 $0.00008 $0.00166
Haiku 4.5 $0.00004 $0.00083

Measured 12d ago against content hash d36c7558b9f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ag-3-entregar scanned grade A with 0 findings 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 12d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/ag-3-entregar/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ENTREGAR — Maquina Autonoma de Entrega

Canonical delegation (ADR-0001)

Esta machine delega para skills oficiais quando aplicável:

Detecção Canonical Ação
vercel.json OR .vercel/project.json presente vercel:deployments-cicd Orquestrar via skill oficial Vercel
railway.json presente railway:use-railway Orquestrar via skill oficial Railway
Deploy manual via CLI vercel:vercel-cli Usar CLI guidance oficial
Env vars gestão vercel:env-vars Delegar configuração
Rollback Vercel vercel:deployments-cicd (modo rollback) Delegar

Para deploys simples em projetos Vercel, preferir invocar diretamente vercel:deployments-cicd. Esta machine (ag-3-entregar) adiciona valor quando: pipeline multi-ambiente (preview → staging → prod), quality gates customizados, integração com Sentry release, ou recovery multi-tentativa.

Invocacao

/entregar                    # Preview (default seguro)
/entregar producao           # Pipeline completo producao
/entregar rollback           # Rollback verificado
/entregar --resume           # Retomar

O que faz

Deploy completo AUTONOMO em 5 fases:

ASSESS → PREFLIGHT → DEPLOY → SMOKE → MONITOR → REPORT
  1. ASSESS: Detecta modo (preview/production/rollback), verifica CLI auth
  2. PREFLIGHT: Credentials + typecheck + lint + test + build (production only)
  3. DEPLOY: Push/merge/vercel deploy conforme modo
  4. SMOKE: Verifica URL (homepage, assets, auth, console errors)
  5. MONITOR: Observa metricas por 5min (production only)

Modos

Modo Sinais Pipeline
preview default, "preview" push branch → auto-deploy Vercel
producao "producao", "prod" preflight completo → merge PR → Vercel
rollback "rollback", "reverter" listar deploys → promover anterior

Output

ENTREGAR COMPLETO
  Modo: [preview/producao/rollback]
  URL: [deploy_url]
  Smoke: [pass/fail]
  Monitor: [status]

Read the full file on GitHub · 76 lines

Changes

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.

  1. 12d ago First seen · 76 lines · 38 tokens per session scan A d36c7558b9f5

Subscribe to this mod's changes

ag-3-entregar is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (19 stars, last pushed 3d ago), licensed MIT. It adds 38 tokens to every session and 830 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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