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.
git clone --depth 1 https://github.com/stefan-stepzero/shipkitWrote 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/agents/stefan-stepzero/shipkit/shipkit-architect-agent)<a href="https://agentmods.dev/agents/stefan-stepzero/shipkit/shipkit-architect-agent"><img src="https://agentmods.dev/badge/agents/stefan-stepzero/shipkit/shipkit-architect-agent/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.
<a href="https://agentmods.dev/agents/stefan-stepzero/shipkit/shipkit-architect-agent"><img src="https://agentmods.dev/badge/agents/stefan-stepzero/shipkit/shipkit-architect-agent.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00059 | $0.02011 |
| Opus 5.5 | $0.00024 | $0.00804 |
| Sonnet 5.5 | $0.00012 | $0.00402 |
| Haiku 4.5 | $0.00006 | $0.00201 |
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 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.
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.
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.
- 1mo ago First seen · 215 lines · 59 tokens per session scan A 6cbc64224bc0
shipkit-architect is an agent published in the GitHub repository stefan-stepzero/shipkit (1 stars, last pushed 3mo ago), licensed MIT. It adds 59 tokens to every session and 2,011 once invoked, about $0.0002 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 2026-08-31.
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