deploy-pipeline

A command that runs a complete deployment process from a release specification. It plans the release, executes the plan, verifies the result, and creates a deployment report.

In plain words
What is it for?
Use it when you have a release specification and need to create a deployment plan, apply it, run integration tests, and report the outcome.
Why use it?
It groups the release steps into one workflow, reducing the need to run planning, deployment, and verification separately. The input does not describe how the plan or checks work internally.

Command

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 commands/entityprocess/agentv/deploy-pipeline
Clone the repo
git clone --depth 1 https://github.com/EntityProcess/agentv
Per session 12 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 106 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00012 $0.00106
Opus 5 $0.00006 $0.00053
Sonnet 5 $0.00002 $0.00021
Haiku 4.5 $0.00001 $0.00011

Measured yesterday against content hash ee46d3cc6a36, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deploy-pipeline 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 yesterday.

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/commands/deploy-pipeline.md · 25 lines

What it actually says

Deploy Pipeline

Input

$ARGUMENTS = path to release specification

Execution

Phase 1 — Plan

Load and follow: skills/deploy-plan/SKILL.md

Phase 2 — Execute

Load and follow: skills/deploy-execute/SKILL.md

Phase 3 — Verify

Run integration tests and produce a deployment report.

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. yesterday First seen · 25 lines · 12 tokens per session scan A ee46d3cc6a36

Subscribe to this mod's changes

deploy-pipeline is a command published in the GitHub repository EntityProcess/agentv (15 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 106 once invoked, about $0.0001 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.