ship

ship is a skill for Claude Code, Codex from eigent-ai/agent-skills. It costs 53 tokens per session (439 once invoked), scanned A, original, Apache-2.0.

A release-planning assistant for preparing software changes for production, the live environment used by real users.

In plain words
What is it for?
Use it to create readiness checklists, staged rollout plans, monitoring and success criteria, rollback steps, and launch communications.
Why use it?
It makes launch decisions clear: what is released, how it is introduced, what is monitored, and how to recover if problems appear.

Skill for Claude CodeCodex

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

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/eigent-ai/agent-skills/ship
Any agent
npx skills add eigent-ai/agent-skills --skill ship
Clone the repo
git clone --depth 1 https://github.com/eigent-ai/agent-skills

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 ship

README.md
[![agentmods](https://agentmods.dev/badge/skills/eigent-ai/agent-skills/ship.svg)](https://agentmods.dev/skills/eigent-ai/agent-skills/ship)
Your own site
<a href="https://agentmods.dev/skills/eigent-ai/agent-skills/ship"><img src="https://agentmods.dev/badge/skills/eigent-ai/agent-skills/ship.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 439 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 5.1 $0.00053 $0.00439
Opus 5 $0.00026 $0.00219
Sonnet 5 $0.00011 $0.00088
Haiku 4.5 $0.00005 $0.00044

Measured 6d ago against content hash 824133da600b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

ship 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 6d 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.

skills/coding-agents-and-ides/ship/SKILL.md · 41 lines

What it actually says

Ship

Overview

Use this skill to prepare a feature or change for production. The goal is to make launch decisions explicit: what ships, how it rolls out, what is monitored, when to stop, and how to recover.

Workflow

  1. Identify the release scope, owner, timeline, users affected, dependencies, and risk level.
  2. Build a pre-launch checklist:
    • Tests, migrations, feature flags, documentation, support readiness, analytics, alerts, and runbooks.
  3. Define rollout strategy:
    • Internal, beta, percentage rollout, region/account cohorts, or all-at-once when low risk.
  4. Specify success metrics and guardrails:
    • Product metrics, reliability metrics, error rates, latency, revenue, support volume, and user feedback.
  5. Create rollback and mitigation steps:
    • Flag disablement, revert path, data repair, comms, and owner escalation.
  6. Plan launch communications for affected teams and users.
  7. After launch, compare live metrics against expected ranges and decide whether to continue, pause, expand, or roll back.

Output Pattern

  • Release summary.
  • Pre-launch checklist.
  • Rollout stages and entry/exit criteria.
  • Monitoring plan.
  • Rollback plan.
  • Communications plan.
  • Post-launch validation steps.

Example Prompts

  • /ship - We're deploying the new payments flow tomorrow. Walk me through the pre-launch checklist, what to monitor in the first hour, and our rollback plan if error rates spike.
  • /ship - Plan a staged rollout for our new recommendation engine. Start at 5% traffic, define success metrics, and set the criteria for each expansion step to 100%.
  • /ship - We shipped 3 hours ago. Here are the current metrics [paste]. Is anything outside normal range? Should we roll back or keep going?
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. 6d ago First seen · 41 lines · 53 tokens per session scan A 824133da600b

Subscribe to this mod's changes

ship is a skill published in the GitHub repository eigent-ai/agent-skills (17 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 439 once invoked, about $0.0003 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.