autoship

autoship is a skill for Claude Code from bdfinst/agentic-dev-team. It costs 89 tokens per session (13,420 once invoked), scanned A, original, MIT.

An automated workflow for processing a limited batch of ready GitHub issues by invoking the project's shipping process one issue at a time.

In plain words
What is it for?
Reclaiming abandoned work, finding eligible issues, shipping them sequentially, and reporting blocked items within fixed limits.
Why use it?
It prevents an unattended run from exceeding a chosen issue count or spending beyond a specified cost limit.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; mentions Claude Code.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the dev-team plugin — 98 skills, 54 agents, 4 hooks shipped together

Good fit Reclaiming abandoned work, finding eligible issues, shipping them sequentially, and reporting blocked items within fixed limits.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add bdfinst/agentic-dev-team
Claude Code
/plugin install dev-team

Made for: Claude Code.

Or install dev-team, the plugin that ships this one along with the rest of its 98 skills, 54 agents, 4 hooks.

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 autoship

README.md
[![agentmods](https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/autoship/github.svg)](https://agentmods.dev/skills/bdfinst/agentic-dev-team/autoship)
Your own site
<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/autoship"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/autoship/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 autoship

Your own site · 80×15
<a href="https://agentmods.dev/skills/bdfinst/agentic-dev-team/autoship"><img src="https://agentmods.dev/badge/skills/bdfinst/agentic-dev-team/autoship.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 13,420 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 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 $0.00089 $0.13420
Opus 5.5 $0.00036 $0.05368
Sonnet 5.5 $0.00018 $0.02684
Haiku 4.5 $0.00009 $0.01342

Measured 1mo ago against content hash ba4d97422cd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

autoship 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 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.

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.

plugins/dev-team/skills/autoship/SKILL.md · 1,115 lines

How it starts

The opening of the file, as written. The whole thing — 1,115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Autoship

Role: orchestrator. This skill runs one bounded round of automated issue dispatch. It does not implement code, review, or merge — it sequences the existing /ship pipeline per dispatch unit and logs each outcome.

You have been invoked with the /autoship command.

Orchestrator constraints

  1. Never start without both caps. Refuse immediately if --max-issues or --max-cost-usd is missing from $ARGUMENTS.
  2. Sequential only. Process one issue at a time. Do not launch concurrent /ship invocations.
  3. Delegate every phase. Call the owning scripts and skills; do not re-implement discovery, reclaim, shipping, or cost reading here.
  4. No scheduling logic. This skill runs once per invocation. Timer or recurring execution is the caller's responsibility.
  5. Dry-run is preview only. When --dry-run is given, run reclaim and discovery in preview mode; never label, comment, invoke /ship, or write to the round log.

Parse Arguments

Arguments: $ARGUMENTS

Required:

  • --max-issues N — maximum number of issues to process this round (positive integer).
  • --max-cost-usd N — budget ceiling in USD for the entire round (positive number).

Optional:

  • --dry-run — preview mode: report what would run without side effects.
  • --label LABEL — override the eligibility label (default: autoship:ready).
  • --max-batch-size N — override autoship_group.py's per-batch member cap (default: 5, matching the script's own default).

If either required argument is absent, print this message and stop:

autoship: --max-issues and --max-cost-usd are both required.
Usage: /autoship --max-issues N --max-cost-usd N [--dry-run] [--label LABEL] [--max-batch-size N]

Cross-validate --max-batch-size against --max-issues (#2073). A batch larger than --max-issues can never be admitted into the queue — Step 2's autoship_queue.py --max-issues <N> defers a whole unit rather than splitting it, so a batch sized above the round's own cap is permanently undispatchable and every round that produces one repeats the same no_unit_fits_cap early exit until an operator notices and reruns with compatible caps. If --max-batch-size is given and its value is greater than --max-issues, print this message and stop, without proceeding to Step 1:

Read the full file on GitHub · 1,115 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 · 1,115 lines · 89 tokens per session scan A ba4d97422cd2

Subscribe to this mod's changes

autoship is a skill published in the GitHub repository bdfinst/agentic-dev-team (295 stars, last pushed 4d ago), licensed MIT. It adds 89 tokens to every session and 13,420 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.