shipping-artifacts

shipping-artifacts is a skill for Claude Code from phuryn/pm-skills. It costs 120 tokens per session (1,934 once invoked), scanned A, original, MIT.

A documentation skill for recording how an AI-built app is structured, what users and permissions it has, where secrets and variables are used, and which behavior is tested.

In plain words
What is it for?
Use it to create the core review documents and add focused documents for features such as email, scheduled work, search-engine visibility, or embedded services when they exist.
Why use it?
AI-generated code often lacks a lasting explanation of what it is meant to do. These documents give people and later coding agents a basis for reviewing the app before release.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Part of the pm-ai-shipping plugin — 2 skills, 5 commands shipped together

Good fit Use it to create the core review documents and add focused documents for features such as email, scheduled work, search-engine visibility, or embedded services when they exist.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/phuryn/pm-skills/shipping-artifacts
About the project

phuryn/pm-skills is a marketplace of reusable skills, commands, and plugins that guide AI assistants through product-management work such as discovery, strategy, planning, metrics, launches, and growth. It is for product managers and teams using Claude Code, Cowork, or compatible assistants. The catalogue entries are the project's own workflows and extensions.

phuryn/pm-skills · 26,131 stars · on GitHub · productcompass.pm

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.

Any agent
npx skills add phuryn/pm-skills --skill shipping-artifacts
Clone the repo
git clone --depth 1 https://github.com/phuryn/pm-skills

Made for: Claude Code.

Or install pm-ai-shipping, the plugin that ships this one along with the rest of its 2 skills, 5 commands.

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 shipping-artifacts

README.md
[![agentmods](https://agentmods.dev/badge/skills/phuryn/pm-skills/shipping-artifacts/github.svg)](https://agentmods.dev/skills/phuryn/pm-skills/shipping-artifacts)
Your own site
<a href="https://agentmods.dev/skills/phuryn/pm-skills/shipping-artifacts"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/shipping-artifacts/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 shipping-artifacts

Your own site · 80×15
<a href="https://agentmods.dev/skills/phuryn/pm-skills/shipping-artifacts"><img src="https://agentmods.dev/badge/skills/phuryn/pm-skills/shipping-artifacts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,934 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. Third-party audits
  • Socket pass 4 Jul 2026
  • Snyk pass 4 Jul 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 49
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
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 $0.00120 $0.01934
Opus 5 $0.00060 $0.00967
Sonnet 5 $0.00024 $0.00387
Haiku 4.5 $0.00012 $0.00193

Measured 9d ago against content hash 934f6e1d0eec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

shipping-artifacts 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 9d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

pm-ai-shipping/skills/shipping-artifacts/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Shipping Artifacts: The Docs That Make AI-Built Code Reviewable

Purpose

AI agents write code fast, but they leave no durable record of intent — what the system is supposed to do, who is allowed to do what, where the secrets live, which rules are actually verified. Without that record, no human (and no auditing agent) can tell whether the code is safe to ship. This skill defines the small set of documents that restore reviewability.

These docs live in documentation/ at the repo root and are written for two readers: a human reviewer and the next AI coding agent. They are the intended-state half of every later audit — a security or performance review is only as good as the intent it can compare the code against.

How the set is organized

The set is not a fixed list — it is a small core plus conditional docs you add only when the capability exists.

  • Core docs — every reviewable app has these surfaces, so always produce them.
  • Conditional docs — include one only if the app actually has that capability. If it doesn't, write a single line in architecture.md ("No scheduled work — no cron.md.") rather than inventing an empty document. Reviewability comes from an honest map, and "we don't do X" is part of the map.
  • Most docs are reverse-engineered from code by /document-app. The one exception is tests.md, which is derived from the other docs by /derive-tests — it is the verification map, not a description of a subsystem.

Be brutally honest about the current state without being paranoid. The job is an accurate map, not a clean bill of health. Each doc is short, table-and-bullet heavy, and skips generic theory.

Core documents

Each entry: file · one-line purpose · what it must capture · how a reviewer uses it.

  1. architecture.md — what the system is and how it hangs together.
    • Must capture: product overview + key assumptions; tech stack; how auth/sessions/claims flow end to end; the trust boundaries (e.g. service-role vs. client); a short Known risks / assumptions list (each entry backed by where it shows up in the code, not a generic checklist); a "Related Documents" index of every other doc produced.
    • Reviewer use: the root document — everything else is cross-referenced from here.

Read the full file on GitHub · 80 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. 9d ago First seen · 80 lines · 120 tokens per session scan A 934f6e1d0eec

Subscribe to this mod's changes

shipping-artifacts is a skill published in the GitHub repository phuryn/pm-skills (26,131 stars, last pushed 2mo ago), licensed MIT. It adds 120 tokens to every session and 1,934 once invoked, about $0.0006 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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