ship

A fully automated release workflow that checks the base branch, runs tests, reviews changes, updates the version and changelog, then commits, pushes, and opens a pull request.

In plain words
What is it for?
It is for an explicit /ship command or a request to run the full ship, release, or deploy workflow.
Why use it?
It brings the many steps needed to ship or release a change into one repeatable process.

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/gcwing/bitfun/gstack-ship
Any agent
npx skills add GCWing/BitFun --skill gstack-ship
Clone the repo
git clone --depth 1 https://github.com/GCWing/BitFun

Made for: Claude Code, Codex.

Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 23,813 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00088 $0.23813
Opus 5 $0.00044 $0.11907
Sonnet 5 $0.00018 $0.04763
Haiku 4.5 $0.00009 $0.02381

Measured yesterday against content hash 020edf25afc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ship 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 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s -o /dev/null -w '%{http_code}' http://localhost:3000 2>/dev/null || \
src/crates/assembly/core/builtin_skills/gstack-ship/SKILL.md · 1,932 lines

How it starts

The opening of the file, as written. The whole thing — 1,932 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ship: Fully Automated Ship Workflow

You are running the /ship workflow. This is a non-interactive, fully automated workflow. Do NOT ask for confirmation at any step. The user said /ship which means DO IT. Run straight through and output the PR URL at the end.

BitFun Team Mode Dispatch

When this skill is invoked by BitFun Team Mode, this skill supplies the release-engineering checklist. Use existing Task sub-agents only for read-only readiness checks that can run independently, then keep all mutations in the main Team session.

  • Do not assume a Release Engineer sub-agent exists. Choose only from the Task tool's available agents.
  • Prefer matching custom release/CI/docs sub-agents if available; otherwise use Explore for readiness mapping and built-in review sub-agents for final diff checks.
  • Good parallel Task tracks: release-note/docs drift, CI/test expectation audit, risk/rollback scan, and final review-quality inspection.
  • Do not ask Task sub-agents to push, commit, create PRs, bump versions, or edit files. The main Team session owns all release mutations.
  • The main Team orchestrator synthesizes Task readiness results before running ship steps.

Only stop for:

  • On the base branch (abort)
  • Merge conflicts that can't be auto-resolved (stop, show conflicts)
  • In-branch test failures (pre-existing failures are triaged, not auto-blocking)
  • Pre-landing review finds ASK items that need user judgment
  • MINOR or MAJOR version bump needed (ask — see Step 4)
  • Greptile review comments that need user decision (complex fixes, false positives)
  • AI-assessed coverage below minimum threshold (hard gate with user override — see Step 3.4)
  • Plan items NOT DONE with no user override (see Step 3.45)
  • Plan verification failures (see Step 3.47)
  • TODOS.md missing and user wants to create one (ask — see Step 5.5)
  • TODOS.md disorganized and user wants to reorganize (ask — see Step 5.5)

Never stop for:

  • Uncommitted changes (always include them)
  • Version bump choice (auto-pick MICRO or PATCH — see Step 4)
  • CHANGELOG content (auto-generate from diff)
  • Commit message approval (auto-commit)
  • Multi-file changesets (auto-split into bisectable commits)
  • TODOS.md completed-item detection (auto-mark)
  • Auto-fixable review findings (dead code, N+1, stale comments — fixed automatically)
  • Test coverage gaps within target threshold (auto-generate and commit, or flag in PR body)

Read the full file on GitHub · 1,932 lines

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 · 1,932 lines · 88 tokens per session scan A 020edf25afc8

Subscribe to this mod's changes

ship is a skill published in the GitHub repository GCWing/BitFun (1,871 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 23,813 once invoked, about $0.0004 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 2026-08-30.

Related

Other skills, from other repositories

agentteams-migrate

Analyze current OpenClaw setup and generate a migration package (ZIP) for importing into AgentTeams as a managed Worker.

agentscope-ai/AgentTeams · 28 tokens

worker-management

Use when admin requests hand-creating or resetting a Worker, starting/stopping a Worker, managing Worker skills, enabling peer mentions, or opening a QwenPaw console. Use agentteams-find-worker only as a helper for Nacos-backed market import or when task assignment needs you to discover a suitable Worker.

agentscope-ai/AgentTeams · 65 tokens

team-coordination

Use before deciding how you should organize team work: DAG vs Loop, dependency shape, task waves, quality gates, acceptance criteria, interruption, replanning, or what to do after Worker results arrive. Always use this skill for team organization strategy before you call project-management or task-management.

agentscope-ai/AgentTeams · 61 tokens

git-delegation

将所有 git 操作委托给 Manager 执行。Worker 无法直接访问 git credentials,因此任何需要认证的 git 操作(clone、push、fetch 等)都需要通过此机制委托给 Manager。.

agentscope-ai/AgentTeams · 51 tokens

github-operations

管理 GitHub Pull Request 和 Issue。包括创建/更新/合并 PR、添加评论、管理 Issue 等。注意:文件读写、分支操作、代码提交等请使用 git-delegation 技能。.

agentscope-ai/AgentTeams · 50 tokens

teamharness-task-delegation

Use when a Leader turns ready Quick Task or Project Work state into Worker task instructions, sends assignment messages, checks submitted results, and defines completion/blocker report contracts. Do not use to create projects, create rooms, or execute Worker tasks.

agentscope-ai/AgentTeams · 56 tokens