deploy

deploy is a skill for Claude Code, Codex from AlanHuang168/AI-Project-Workflow. It costs 0 tokens per session (579 once invoked), scanned A, original, MIT.

A deployment-planning stage that creates release instructions, checks, verification steps, monitoring guidance, and rollback instructions for a target environment.

In plain words
What is it for?
Use it when preparing a release or deployment, including documenting build and runtime requirements, operational checks, monitoring, and rollback.
Why use it?
It turns a completed and reviewed project into an executable release plan and records how to confirm or undo the deployment.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Use it when preparing a release or deployment, including documenting build and runtime requirements, operational checks, monitoring, and rollback.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alanhuang168/ai-project-workflow/deploy
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 AlanHuang168/AI-Project-Workflow --skill deploy
Clone the repo
git clone --depth 1 https://github.com/AlanHuang168/AI-Project-Workflow

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.

agentmods badge for deploy

README.md
[![agentmods](https://agentmods.dev/badge/skills/alanhuang168/ai-project-workflow/deploy/github.svg)](https://agentmods.dev/skills/alanhuang168/ai-project-workflow/deploy)
Your own site
<a href="https://agentmods.dev/skills/alanhuang168/ai-project-workflow/deploy"><img src="https://agentmods.dev/badge/skills/alanhuang168/ai-project-workflow/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.

agentmods 80×15 button for deploy

Your own site · 80×15
<a href="https://agentmods.dev/skills/alanhuang168/ai-project-workflow/deploy"><img src="https://agentmods.dev/badge/skills/alanhuang168/ai-project-workflow/deploy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 579 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00579
Opus 5.5 $0.00000 $0.00232
Sonnet 5.5 $0.00000 $0.00116
Haiku 4.5 $0.00000 $0.00058

Measured 1mo ago against content hash 375f2898ec0f, 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 1mo 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.

adapters/catpaw/.catpaw/skills/deploy/SKILL.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.


name: deploy description: Prepare deployment instructions, release checks, verification, monitoring, and rollback. Use when the project is ready for deployment or when the user invokes /deploy. version: 1.0.0 stage: deploy

Goal

Produce a deployment guide that can be executed and verified for the target environment.

Use Cases

  • The user invokes /deploy.
  • Review is complete and the project needs release instructions.
  • The user asks for deployment, release, rollback, or operational verification guidance.

Preconditions

  • review is complete, or the user explicitly approves skipping review and records the reason.
  • Build and runtime requirements are known.

Required Context

  • AGENTS.md
  • .ai-workflow/state.json
  • core/templates/DEPLOY.template.md
  • docs/PRD.md
  • docs/ARCH.md
  • docs/SDD.md
  • docs/TEST.md
  • docs/REVIEW.md
  • Relevant build, configuration, and deployment files

Inputs

  • Target environment.
  • Build and runtime constraints.
  • User-provided deployment requirements.

Allowed Changes

  • docs/DEPLOY.md
  • Necessary deployment configuration when explicitly within scope
  • .ai-workflow/state.json

Steps

  1. Read review results, architecture, build files, and deployment constraints.
  2. Identify environment requirements, configuration, secrets handling, build steps, deployment steps, verification, monitoring, and rollback.
  3. Do not invent credentials or claim access to systems that were not verified.
  4. Write docs/DEPLOY.md.
  5. Run available deployment-related validation if it is safe and in scope.
  6. Update workflow state: documents.deploy = "complete", add deploy to completedStages, set currentStage = "retro", and update the timestamp.

Outputs

  • docs/DEPLOY.md
  • Updated .ai-workflow/state.json

Acceptance Criteria

  • DEPLOY includes environment requirements, configuration, build, deployment, migration, verification, monitoring, rollback, and release checklist.
  • Secrets are not written into the repository.
  • Verification results are reported honestly.

Read the full file on GitHub · 84 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. 1mo ago First seen · 84 lines · 0 tokens per session scan A 375f2898ec0f

Subscribe to this mod's changes

deploy is a skill published in the GitHub repository AlanHuang168/AI-Project-Workflow (29 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 579 tokens. 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.

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