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.
npx skills add GiustoPiedimonte/agentic-engineering-marketplace --skill shipgit clone --depth 1 https://github.com/GiustoPiedimonte/agentic-engineering-marketplaceWrote 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/skills/giustopiedimonte/agentic-engineering-marketplace/ship)<a href="https://agentmods.dev/skills/giustopiedimonte/agentic-engineering-marketplace/ship"><img src="https://agentmods.dev/badge/skills/giustopiedimonte/agentic-engineering-marketplace/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.
<a href="https://agentmods.dev/skills/giustopiedimonte/agentic-engineering-marketplace/ship"><img src="https://agentmods.dev/badge/skills/giustopiedimonte/agentic-engineering-marketplace/ship.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 | $0.00076 | $0.02213 |
| Opus 5 | $0.00038 | $0.01107 |
| Sonnet 5 | $0.00015 | $0.00443 |
| Haiku 4.5 | $0.00008 | $0.00221 |
Grade A, and why
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 10d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/ship — execute a shaped cycle, verify, review
Turn an approved pitch into production-quality code through a disciplined cycle. The organizing law: parallelize readers, serialize writers — research and review can fan out; only one writer touches the code at a time.
$ARGUMENTS points to the approved pitch/spec. Read it first.
0. Is the cycle warranted?
The filter below decides who does the work. This one decides whether the ceremony is worth paying for at all, and it is the one that gets skipped — because a process that has proved itself starts to feel free.
It isn't. A cycle costs three contexts (shape, write, review) plus the human attention to arbitrate between them, and that attention is usually the scarcest thing in the room. Spend it where being wrong is expensive to undo:
- Small and reversible — a doc fix, a stale number, a rename with no
behavior change, a broken link: do it directly and report what you did.
git revertis the whole safety net, and it is enough. - Wide, outward-facing, or hard to undo — schema, public interface, anything that runs unattended or that other people build on: there the full cycle earns its cost several times over.
Severity × reversibility — the same rule you apply to what an agent may do on its own — turned on your own process. If you can describe the diff in one sentence and undo it with one command, stop reading and go do it.
1. Pre-spawn filter (decide who does the work)
Before delegating to an executor subagent, answer three questions. If any is "no", do NOT delegate — keep it human-driven / main-agent-driven:
- Deterministic? Cleanup, inventory, zero-behavior refactor = yes. Behavior-altering (changes product behavior, identity, core flow) = no.
- Closed scope? Finishable from a doc-bundle + this pitch without needing product judgment or user confirmations mid-flight.
- Low / low-medium risk? High-risk (schema break, destructive migration) = no, or split into safe steps first.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 182 lines · 76 tokens per session scan A 0bfacbd02227
ship is a skill published in the GitHub repository GiustoPiedimonte/agentic-engineering-marketplace (13 stars, last pushed 1mo ago), licensed MIT. It adds 76 tokens to every session and 2,213 once invoked, about $0.0004 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 2026-08-30.
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