ship-feature

ship-feature is a skill for Claude Code, Codex from openonion/connectonion. It costs 46 tokens per session (1,820 once invoked), scanned C, original, Apache-2.0.

A release workflow for completing a feature from code changes through tests, documentation, documentation-site updates, and publication to PyPI, Python's package repository.

In plain words
What is it for?
Use it when shipping or releasing a feature, updating its tests and docs, and publishing the result to PyPI.
Why use it?
It keeps the supporting work around a feature in sync before releasing a new version.

Skill for Claude CodeCodex

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

Good fit Use it when shipping or releasing a feature, updating its tests and docs, and publishing the result to PyPI.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openonion/connectonion/ship-feature
About the project

ConnectOnion is an open-source, template-first toolkit for building, debugging, deploying, and operating AI agents. Developers use its command-line tools and Python runtime to create agents, add tools, connect services, deploy them, and make them callable by other agents, while the catalogue entries are related agents, skills, and instructions.

openonion/connectonion · 1,500 stars · on GitHub · docs.connectonion.com

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 openonion/connectonion --skill ship-feature
Clone the repo
git clone --depth 1 https://github.com/openonion/connectonion

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-feature

README.md
[![agentmods](https://agentmods.dev/badge/skills/openonion/connectonion/ship-feature/github.svg)](https://agentmods.dev/skills/openonion/connectonion/ship-feature)
Your own site
<a href="https://agentmods.dev/skills/openonion/connectonion/ship-feature"><img src="https://agentmods.dev/badge/skills/openonion/connectonion/ship-feature/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 ship-feature

Your own site · 80×15
<a href="https://agentmods.dev/skills/openonion/connectonion/ship-feature"><img src="https://agentmods.dev/badge/skills/openonion/connectonion/ship-feature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,820 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Tool Misuse · line 120
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
How audits are shown
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 $0.00046 $0.01820
Opus 5.5 $0.00018 $0.00728
Sonnet 5.5 $0.00009 $0.00364
Haiku 4.5 $0.00005 $0.00182

Measured 1mo ago against content hash da54238f0bd8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

ship-feature scanned grade C 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 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf dist/
connectonion/useful_skills/ship-feature/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ship Feature Skill

Ship a feature completely: tests → docs → docs-site → release.

Step 1: Understand What Changed

Read the user's message to identify which feature/module was changed.

Run in parallel:

  • git diff --stat — what files changed
  • git diff — full diff of changes
  • git log --oneline -5 — recent commit context

Step 2: Update Tests

Find the relevant test file:

  • glob("tests/**/*.py") — find all test files
  • Match test file to changed source file (e.g. src/agent.py → tests/unit/test_agent.py)

Update the test file:

  • Add or update test cases that cover the new behavior
  • Run tests to confirm they pass: python -m pytest tests/unit/test_<module>.py -v
  • If tests fail, fix them before proceeding

Step 3: Update docs/

This step is required. Do not skip.

Find ALL docs that need updating:

glob("docs/**/*.md")

For each changed area:

  • If a doc file exists for it — update it with the new behavior, params, examples
  • If no doc file exists — create one (look at neighboring files for format)
  • Also check index/README files (e.g. docs/cli/README.md, docs/useful_tools/README.md) — update the table of contents if you added something new

Commit docs/ changes as part of the release commit (not separately).

Step 4: Update docs-site

This step is required. Do not skip even if docs-site/ is not present locally.

docs-site is a separate Next.js git repo. Check if it's cloned:

ls docs-site/

If docs-site/ exists:

  • Find the corresponding page: glob("docs-site/app/**/*.{tsx,mdx}")
  • Update it to match what you changed in docs/
  • Respect existing component structure (CommandBlock, CodeBlock, etc.)
  • Run its lint and production build. Prepare the docs commit, but do not publish version availability before the matching PyPI package and GitHub Release are public. Publish the prepared docs in Step 5e.

If docs-site/ does NOT exist locally:

  • Tell the user explicitly: "docs-site was not updated — clone it and run co copy ship-feature --force to re-run"
  • Do NOT silently skip — the user must know this is incomplete

Read the full file on GitHub · 191 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. 1mo ago First seen · 191 lines · 46 tokens per session scan C da54238f0bd8

Subscribe to this mod's changes

ship-feature is a skill published in the GitHub repository openonion/connectonion (1,500 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 1,820 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.