do-deploy-example

do-deploy-example is a skill for Claude Code, Codex from tomcounsell/ai. It costs 33 tokens per session (2,095 once invoked), scanned A, original, GPL-3.0.

A template for creating a repository-specific production deployment skill.

In plain words
What is it for?
Creating a do-deploy skill that documents how a particular project should be deployed to production.
Why use it?
It provides a starting structure so deployment instructions can be customized for one code repository instead of recreated from scratch.

Skill for Claude CodeCodex

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/tomcounsell/ai/do-deploy-example
Any agent
npx skills add tomcounsell/ai --skill do-deploy-example
Clone the repo
git clone --depth 1 https://github.com/tomcounsell/ai

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 do-deploy-example

README.md
[![agentmods](https://agentmods.dev/badge/skills/tomcounsell/ai/do-deploy-example.svg)](https://agentmods.dev/skills/tomcounsell/ai/do-deploy-example)
Your own site
<a href="https://agentmods.dev/skills/tomcounsell/ai/do-deploy-example"><img src="https://agentmods.dev/badge/skills/tomcounsell/ai/do-deploy-example.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,095 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00033 $0.02095
Opus 5 $0.00016 $0.01047
Sonnet 5 $0.00007 $0.00419
Haiku 4.5 $0.00003 $0.00210

Measured 4d ago against content hash de6ab6b12540, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

do-deploy-example 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 4d 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.

.claude/skills-global/do-deploy-example/SKILL.md · 199 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 4d ago First seen · 199 lines · 33 tokens per session scan A de6ab6b12540

Subscribe to this mod's changes

do-deploy-example is a skill published in the GitHub repository tomcounsell/ai (22 stars, last pushed today), licensed GPL-3.0. It adds 33 tokens to every session and 2,095 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.

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