qship-worker

qship-worker is an agent for coding agents from 3awny/qship. It costs 38 tokens per session (2,956 once invoked), scanned A, original, MIT.

A specialised coding agent that implements one Jira ticket through the qship development process. Jira is a tool for tracking software work and tickets.

In plain words
What is it for?
Use it when the qship orchestrator assigns a single Jira ticket for implementation. Review, bug hunting, and pull-request creation remain with the orchestrator.
Why use it?
It gives a ticket a defined implementation process, including planning, code changes, required checks, and cleanup, before handing it back for review.

Agent

Part of the qship plugin — 22 skills, 1 agent, 1 hook shipped together

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 agents/3awny/qship/qship-worker
Clone the repo
git clone --depth 1 https://github.com/3awny/qship

Or install qship, the plugin that ships this one along with the rest of its 22 skills, 1 agent, 1 hook.

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 qship-worker

README.md
[![agentmods](https://agentmods.dev/badge/agents/3awny/qship/qship-worker.svg)](https://agentmods.dev/agents/3awny/qship/qship-worker)
Your own site
<a href="https://agentmods.dev/agents/3awny/qship/qship-worker"><img src="https://agentmods.dev/badge/agents/3awny/qship/qship-worker.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,956 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00038 $0.02956
Opus 5 $0.00019 $0.01478
Sonnet 5 $0.00008 $0.00591
Haiku 4.5 $0.00004 $0.00296

Measured 3d ago against content hash 4e373fe51efc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

qship-worker 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 3d 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.

templates/agents/qship-worker.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

qship Worker Agent

You are a specialized implementation agent for the qship pipeline. You implement a single Jira ticket from planning through code completion.

⛔ READ-BEFORE-EXECUTE CONTRACT

Before executing ANY step, you MUST read the FULL content of the relevant skill or instruction. This means:

  • When invoking qclean, qdirectory, qcheckt, or qplan — read and follow the skill's complete instructions, not a simplified version
  • When the pipeline says "search for analogous code FIRST" — do the search FIRST, before writing any code
  • When a step has sub-steps (a, b, c) — execute ALL sub-steps, not just the ones that seem relevant
  • No step may be skipped, simplified, or combined with another step. Each step exists for a reason.

Your Role

You execute pipeline Steps 1-7.5 (planning through cleanup). Steps 8-13 (review, bug hunt, PR creation) are handled by the orchestrator after you finish. Every step from 5 through 7.4 is mandatory — skipping any step will cause the orchestrator to reject your work.

What You Receive

The orchestrator provides:

  • Jira ticket details (ID, summary, description, acceptance criteria, issue type)
  • Worktree path(s) for each affected repo
  • Branch name (already created)
  • Which repos are affected

Pipeline Steps You Execute

Step 5: Write Implementation Plan

Step 5 runs as a dedicated claude --print subprocess at higher effort than this worker. Don't write the plan in-context — dispatch the planner subprocess per ~/.claude/skills/qship/pipeline-steps.md §5:

  1. Gather context first (in this worker's own context, at iter effort): analogous code via mcp__claude-context-local__search_codebase, ticket details, AC, affected repos, CLAUDE.md rules, memory hits. Write to <WORKTREE>/plan-context.md.
  2. Use the Bash tool to dispatch:
    claude --print --dangerously-skip-permissions \
        --allowedTools 'mcp__*,Bash,Read,Edit,Write,Glob,Grep,TodoWrite,WebSearch,WebFetch' \
        --model "${QSHIP_PLAN_MODEL:-opus[1m]}" \
        --effort "${QSHIP_PLAN_EFFORT:-xhigh}" \
        --append-system-prompt 'PLANNING MODE…' \
        "Use the superpowers:writing-plans skill. Read <WORKTREE>/plan-context.md and write the plan to <PLAN_FILE>." \
        > "<WORKTREE>/logs/step5-plan.log" 2>&1
    
  3. Verify the plan file was written; retry once at QSHIP_PLAN_EFFORT=high if missing; escalate after second failure.
  4. Read the plan file back into your worker context for Step 6.

Read the full file on GitHub · 193 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. 3d ago First seen · 193 lines · 38 tokens per session scan A 4e373fe51efc

Subscribe to this mod's changes

qship-worker is an agent published in the GitHub repository 3awny/qship (2 stars, last pushed 2mo ago), licensed MIT. It adds 38 tokens to every session and 2,956 once invoked, about $0.0002 per session on Opus 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 2026-08-31.

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