autoresearch: Command for Claude Code

.opencode/commands/autoresearch_ship.md

autoresearch_ship is a command for Claude Code, OpenCode from uditgoenka/autoresearch. It costs 19 tokens per session (978 once invoked), scanned A, a copy of autoresearch:ship, MIT.

A release-and-deployment command that guides code, content, documentation, packages, configuration, or deployments through checks, a dry run, execution, and verification.

In plain words
What is it for?
Use it to prepare or carry out a pull request, release, deployment, content change, documentation update, package, or configuration change.
Why use it?
It puts preparation and post-action checks around shipping work, reducing the chance of missing an important step. It can also create a checklist, monitor after shipping, or roll back the last action.

Command for Claude CodeOpenCode

Written for Claude Code and OpenCode: argument-hint in frontmatter, but also installed under .opencode/.

This is uditgoenka/autoresearch's own configuration. It tells Claude Code and OpenCode how to work on autoresearch itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything autoresearch configures →

About the project

autoresearch is an agent workflow that repeatedly changes a project, verifies a measurable result, keeps or discards the change, and continues iterating toward a goal. It is for autonomous improvement tasks in Claude Code, OpenCode, and OpenAI Codex across domains with mechanical success measures. The catalogue contains its commands, hooks, skills, plugin, agent, and instruction.

uditgoenka/autoresearch · 6,270 stars · on GitHub · udit.co

Reuse

Borrowing it

Nothing to install: this file belongs to uditgoenka/autoresearch. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/uditgoenka/autoresearch/master/.opencode/commands/autoresearch_ship.md
Clone the repo
git clone --depth 1 https://github.com/uditgoenka/autoresearch

Made for: Claude Code, OpenCode.

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 autoresearch_ship

README.md
[![agentmods](https://agentmods.dev/badge/commands/uditgoenka/autoresearch/autoresearch_ship/github.svg)](https://agentmods.dev/commands/uditgoenka/autoresearch/autoresearch_ship)
Your own site
<a href="https://agentmods.dev/commands/uditgoenka/autoresearch/autoresearch_ship"><img src="https://agentmods.dev/badge/commands/uditgoenka/autoresearch/autoresearch_ship/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 autoresearch_ship

Your own site · 80×15
<a href="https://agentmods.dev/commands/uditgoenka/autoresearch/autoresearch_ship"><img src="https://agentmods.dev/badge/commands/uditgoenka/autoresearch/autoresearch_ship.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 978 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod 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 $0.00019 $0.00978
Opus 5 $0.00010 $0.00489
Sonnet 5 $0.00004 $0.00196
Haiku 4.5 $0.00002 $0.00098

Measured 11d ago against content hash 24f70f5581e4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

autoresearch_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 11d 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.

Origin

This is a copy

98% identical to autoresearch:ship — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.opencode/commands/autoresearch_ship.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EXECUTE IMMEDIATELY.

Parse Arguments

Extract from $ARGUMENTS:

  • Target: or --target — what to ship (path, PR, artifact, deployment)
  • --type <type> — override auto-detection: code-pr, code-release, deployment, content, docs, package, config
  • --dry-run — validate everything but don't ship
  • --auto — auto-approve if no errors found
  • --force — skip non-critical items (blockers still enforced)
  • --rollback — undo last ship action
  • --monitor N — post-ship monitoring for N minutes
  • --checklist-only — only generate checklist, don't execute
  • --chain, --<subcommand>

Remaining text = description of what to ship.

Setup (if Target or Type unclear)

  1. Auto-detect ship type from context:
    • Has uncommitted changes or PR → code-pr
    • Has version bump / changelog → code-release
    • Has Dockerfile / deploy config → deployment
    • Has markdown / content files → content
    • Has package.json version change → package
  2. If still unclear → question (single batch): Q1 (What): "What are you shipping?" — code PR, release, deployment, content, docs, package Q2 (Target): "Specific target?" — current branch, specific PR, specific path Q3 (Mode): "How to ship?" — full workflow, dry-run only, checklist only If all clear → skip.

Phase 1: Identify

  • Determine ship type (auto-detected or --type override)
  • Identify target artifact(s)
  • Map to domain-specific checklist

Phase 2: Inventory

Gather everything that will be shipped:

  • Files changed (git diff)
  • Dependencies affected
  • Config changes
  • Migration files
  • Breaking changes

Phase 3: Checklist

Generate domain-specific checklist:

Code PR: tests pass, types check, lint clean, no secrets, PR description, reviewers assigned Release: version bumped, changelog updated, migration tested, rollback plan Deployment: env vars set, health checks configured, rollback ready, monitoring active Content: links valid, images optimized, SEO metadata, spell check Package: version bumped, README updated, breaking changes documented, CI green

Read the full file on GitHub · 121 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. 11d ago First seen · 121 lines · 19 tokens per session scan A 24f70f5581e4

Subscribe to this mod's changes

autoresearch_ship is a command published in the GitHub repository uditgoenka/autoresearch (6,270 stars, last pushed 29d ago), licensed MIT. It adds 19 tokens to every session and 978 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to autoresearch:ship, differing in 4 lines, and is treated as a copy.