deploy

deploy is a skill for Claude Code from Imran-ml/claude-skills. It costs 34 tokens per session (519 once invoked), scanned A, original, no licence file.

Deployment guidance for moving code into a target environment such as staging or production.

In plain words
What is it for?
It is for deploying code to an environment, including staging or production releases.
Why use it?
It helps organise the steps involved in shipping code beyond the development machine.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

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.

agentmods
npx agentmods add skills/imran-ml/claude-skills/deploy
Any agent
npx skills add Imran-ml/claude-skills --skill deploy
Clone the repo
git clone --depth 1 https://github.com/Imran-ml/claude-skills

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 deploy

README.md
[![agentmods](https://agentmods.dev/badge/skills/imran-ml/claude-skills/deploy.svg)](https://agentmods.dev/skills/imran-ml/claude-skills/deploy)
Your own site
<a href="https://agentmods.dev/skills/imran-ml/claude-skills/deploy"><img src="https://agentmods.dev/badge/skills/imran-ml/claude-skills/deploy.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 519 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00034 $0.00519
Opus 5 $0.00017 $0.00260
Sonnet 5 $0.00007 $0.00104
Haiku 4.5 $0.00003 $0.00052

Measured 5d ago against content hash 4ab7f149cb49, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

deploy 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 5d 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 -f https://your-app.com/health
.claude/skills/deploy/SKILL.md · 105 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 5d ago First seen · 105 lines · 34 tokens per session scan A 4ab7f149cb49

Subscribe to this mod's changes

deploy is a skill published in the GitHub repository Imran-ml/claude-skills (3 stars, last pushed 5mo ago), with no licence file. It adds 34 tokens to every session and 519 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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