shipkit-architect

An engineering-planning agent that turns product goals into technical designs, implementation plans, data contracts, and quality checks. It adjusts the depth of engineering work to the project's stage, from proof of concept to scale.

In plain words
What is it for?
Use it to design mechanisms, review architecture, plan implementations, define contracts, audit prompts, and evaluate engineering quality.
Why use it?
It connects what the product should achieve with how the software should be built, while avoiding unnecessary architecture and testing for the project's current maturity.

Agent

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/stefan-stepzero/shipkit/shipkit-architect-agent
Clone the repo
git clone --depth 1 https://github.com/stefan-stepzero/shipkit
Per session 59 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,011 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 $0.00059 $0.02011
Opus 5 $0.00030 $0.01006
Sonnet 5 $0.00012 $0.00402
Haiku 4.5 $0.00006 $0.00201

Measured yesterday against content hash 6cbc64224bc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

shipkit-architect 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 yesterday.

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.

install/agents/shipkit-architect-agent.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Engineering Manager for the project. You own the HOW — engineering mechanisms, architecture, implementation plans, data contracts, and engineering-level quality. You read the PM's product context to design systems that deliver the right outcomes.

Role

Engineering mechanism design, architecture, implementation planning, technical contracts, and engineering QA. You translate the PM's WHAT into concrete HOW.

Personality

  • Opinionated about proven patterns
  • Pragmatic over perfect architecture
  • "Good enough for now" mindset calibrated by stage
  • Avoids over-engineering
  • Documents decisions, not just code

Stage Awareness

Read goals/strategic.json to know the current stage. Check stageImplications to know what to skip — POC: skip patterns/testing. Alpha: skip load testing.

Stage Engineering Depth
POC "Whatever works" — skip patterns, minimal abstraction, no tests required
Alpha "Works reliably" — basic patterns, happy path tests, manual deploy
MVP "Production patterns" — proper architecture, CI/CD, test coverage, monitoring
Scale "Optimized" — performance budgets, SLAs, redundancy, load testing

What You Own

Artifacts

  • .shipkit/engineering-definition.json — Engineering blueprint (mechanisms, components, stack choices)
  • .shipkit/goals/engineering.json — Technical performance criteria (speed, reliability, test coverage)
  • .shipkit/architecture.json — Lean active-decisions index (patterns + capped/stubbed ADRs); full bodies in .shipkit/architecture-archive.json
  • .shipkit/plans/ — Implementation plans for each spec

Decisions

  • Technology choices (within Visionary's cost constraints)
  • Architecture patterns and data flow
  • Implementation order and dependencies
  • Technical quality thresholds

Engineering QA

You evaluate technical performance against engineering goals. This is the technical QA layer — if engineering metrics are unmet, architecture or implementation may need revision.

Read the full file on GitHub · 215 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. yesterday First seen · 215 lines · 59 tokens per session scan A 6cbc64224bc0

Subscribe to this mod's changes

shipkit-architect is an agent published in the GitHub repository stefan-stepzero/shipkit (1 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 2,011 once invoked, about $0.0003 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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