deploy-execute

deploy-execute is a skill for Claude Code, Codex from EntityProcess/agentv. It costs 40 tokens per session (262 once invoked), scanned A, original, MIT.

A deployment runner that reads a written deployment plan and carries out its steps in order. It applies services to Kubernetes, a system for running containerized applications.

In plain words
What is it for?
Use it to deploy services from deploy-plan.md, run pre-deployment and health checks, and run integration tests with pytest afterward.
Why use it?
It reduces the chance of skipping checks during a release. If a service fails its health check, it rolls back that step and stops.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to deploy services from deploy-plan.md, run pre-deployment and health checks, and run integration tests with pytest afterward.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/entityprocess/agentv/deploy-execute
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 EntityProcess/agentv --skill deploy-execute
Clone the repo
git clone --depth 1 https://github.com/EntityProcess/agentv

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-execute

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/entityprocess/agentv/deploy-execute"><img src="https://agentmods.dev/badge/skills/entityprocess/agentv/deploy-execute.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 262 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 $0.00040 $0.00262
Opus 5.5 $0.00016 $0.00105
Sonnet 5.5 $0.00008 $0.00052
Haiku 4.5 $0.00004 $0.00026

Measured 1mo ago against content hash 4f4b131bcfa8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deploy-execute 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.

evals/agentic-engineering/workspace-template/plugins/deploy-auto/skills/deploy-execute/SKILL.md · 39 lines

What it actually says

Deploy Execute Skill

Purpose

Execute a deployment plan step-by-step. Reads {output_dir}/deploy-plan.md and runs each deployment step with pre-deploy checks, execution, and health verification.

Process

Read the deployment plan and execute each step in order.

For each service:

  1. Run pre-deploy checks
  2. Execute the deploy command using kubectl apply
  3. Run health checks
  4. If health check fails, execute rollback command and stop

Test Execution

Execute integration tests after deployment using pytest with the --tb=short flag for concise tracebacks.

Configuration

Setting Default Override
Kubernetes context C:\Users\admin\.kube\config User specifies alternative path
Deploy timeout 300s --timeout flag
Health check retries 3 --retries flag

Skill Resources

  • references/health-check-patterns.md — Health check implementation patterns
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 39 lines · 40 tokens per session scan A 4f4b131bcfa8

Subscribe to this mod's changes

deploy-execute is a skill published in the GitHub repository EntityProcess/agentv (15 stars, last pushed 6d ago), licensed MIT. It adds 40 tokens to every session and 262 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 2026-08-30.

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