A deployment and release guide for moving software into environments such as staging or production. It includes setup, continuous integration and delivery, infrastructure, testing, and rollout concerns.

Use it to prepare deployment plans, configure environments, review infrastructure and security, handle database migrations, validate performance, and document rollout decisions.

It helps expose missing environment details, failing tests, database changes, and rollback needs before a release is made.

How VoTruongDanh/Skills-Agent configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to VoTruongDanh/Skills-Agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/VoTruongDanh/Skills-Agent/main/.agent/skills/deploy/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/VoTruongDanh/Skills-Agent

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/votruongdanh/skills-agent/deploy/github.svg)](https://agentmods.dev/skills/votruongdanh/skills-agent/deploy)

Your own site

<a href="https://agentmods.dev/skills/votruongdanh/skills-agent/deploy"><img src="https://agentmods.dev/badge/skills/votruongdanh/skills-agent/deploy/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/votruongdanh/skills-agent/deploy"><img src="https://agentmods.dev/badge/skills/votruongdanh/skills-agent/deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 818 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00058	$0.00818
Opus 5.5	$0.00023	$0.00327
Sonnet 5.5	$0.00012	$0.00164
Haiku 4.5	$0.00006	$0.00082

Measured 2mo ago against content hash 8d1563c60d19, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deploy 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 2mo 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.

.agent/skills/deploy/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Protocol

START: Read .ai-memory.md from project root. Check deployment history, target environments, known infrastructure, CI/CD setup, past deployment issues. END: Update .ai-memory.md using Memory Compaction Rules with: target, steps, env details, issues, rollback notes, and infra decisions.

Goal

Prepare a safe, repeatable deployment or release plan.

Agent Routing

For infrastructure/CI/CD → read .kiro/skills/agents/agents/devops-engineer.md and apply its knowledge
For security review before deploy → read .kiro/skills/agents/agents/security-auditor.md and apply its knowledge
For database migrations → read .kiro/skills/agents/agents/database-architect.md and apply its knowledge
For performance validation → read .kiro/skills/agents/agents/performance-optimizer.md and apply its knowledge

Socratic Gate

Before deploying, verify:

What is the target environment? (staging, production, preview?)
Are all tests passing?
Are there database migrations or breaking changes? If any answer is unclear, ASK before proceeding.

Workflow

Read Memory — Load .ai-memory.md for deployment history and environment details.
Detect the app type, runtime, dependencies, and target environment.
List prerequisites: secrets, env vars, build steps, infrastructure, database migrations, and health checks.
Produce a deployment sequence from pre-checks to rollback.
Call out risky steps explicitly.
Include post-deploy verification and monitoring.
Quality Gate — Read .kiro/skills/_scripts/pre-deploy.md for pre-deploy checklist, then .kiro/skills/_scripts/checklist.md for cross-cutting checks.
Update Memory — Save deployment details and outcomes to .ai-memory.md.

Output format

Target environment
Preconditions
Deployment steps (numbered, with risk flags)
Verification (health checks, smoke tests)
Rollback plan

Checklist

Target environment confirmed
All tests passing
Secrets/env vars configured
Database migrations planned
Build artifacts ready
Rollback plan documented
Health checks defined
Post-deploy verification planned
Memory file updated

Read the full file on GitHub · 74 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.

2mo ago Changed · +3 lines 8d1563c60d19
2mo ago First seen · 71 lines · 58 tokens per session scan A 1d19498c7321

Subscribe to this mod's changes

deploy is a skill published in the GitHub repository VoTruongDanh/Skills-Agent (4 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 818 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

CI and CD DevOps and cloud Git and workflow Releases

deploy next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
deployVoTruongDanh/Skills-Agent	Skill	4	1mo ago	MIT	A	58	Claude Code, Codex
github-release-managementruvnet/RuView	Skill	103k	yesterday	MIT	A	27	Claude Code
agent-github-modesruvnet/ruflo	Skill	81k	yesterday	MIT	A	21	Claude Code
xberg-releasexberg-io/xberg	Skill	9.5k	yesterday	MIT	A	16	Claude Code, Codex
factory-shipBuilderIO/skills	Skill	4.6k	4d ago	MIT	A	28	Claude Code
releaseprcompozy/compozy	Skill	2.8k	yesterday	MIT	A	53	Claude Code, Codex
gitlab-devopsautomateyournetwork/netclaw	Skill	715	yesterday	Apache-2.0	A	67	Claude Code, Codex

Skills-Agent: Skill for Claude Code