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.
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.
npx agentmods add skills/openonion/connectonion/ship-featurenpx skills add openonion/connectonion --skill ship-featuregit clone --depth 1 https://github.com/openonion/connectonionWrote 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.
[](https://agentmods.dev/skills/openonion/connectonion/ship-feature)<a href="https://agentmods.dev/skills/openonion/connectonion/ship-feature"><img src="https://agentmods.dev/badge/skills/openonion/connectonion/ship-feature.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.01820 |
| Opus 5 | $0.00023 | $0.00910 |
| Sonnet 5 | $0.00009 | $0.00364 |
| Haiku 4.5 | $0.00005 | $0.00182 |
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 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.
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/ 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 changedgit diff— full diff of changesgit 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 --forceto re-run" - Do NOT silently skip — the user must know this is incomplete
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.
- 6d ago First seen · 191 lines · 46 tokens per session scan C da54238f0bd8
ship-feature is a skill published in the GitHub repository openonion/connectonion (1,481 stars, last pushed yesterday), licensed Apache-2.0. It adds 46 tokens to every session and 1,820 once invoked, about $0.0002 per session on Opus 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.
Other skills, from other repositories
release
Prepare and publish stable Agent Lightning releases through the repository's version bump, pull-request checks, merge, tag, PyPI trusted-publishing, and versioned-documentation workflows. Use when asked to plan, cut, verify, or explain a release; treat nightly TestPyPI builds as a separate path.
git-changelog
Use this skill when the task involves generating a changelog, release notes, or commit summary from a Git repository's history. Suitable for tasks like "generate a changelog for v2.0", "summarize what changed since last release", or "create release notes from git commits". Requires access to a Git repository.
release-prep
Prepare release documentation including CHANGELOG entry, announcement text, and validation. Run before tagging a new release.
massgen-release-documenter
Guide for following MassGen's release documentation workflow. This skill should be used when preparing release documentation, updating changelogs, writing case studies, or maintaining project documentation across releases.
agent-lightning
Provides the action space, tradeoffs, and evaluation context for improving an editable AI agent against a benchmark while preserving its deployment contract. Use when optimizing agent accuracy, cost, latency, or reliability.
release-notes
Generate user-facing release notes for Intelligent Terminal. Use when asked to write release notes, changelog, what-is-new summary, or prepare a release. Compares git commits between releases, looks up PR-linked issues and community contributors, then outputs formatted notes with "Verbed + Impact + Scenario" style…