ship-intake-supervisor

An intake workflow for Ship Engine, a process that turns rough app information into a structured product brief and related project records.

In plain words
What is it for?
It helps capture the app’s purpose, users, current stage, business model, interview answers, research kickoff details, and links to the resulting documents.
Why use it?
It organizes scattered URLs, screenshots, notes, and transcripts before later validation work begins.

Skill for Claude CodeCodex

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 skills/maxtechera/ship/intake
Any agent
npx skills add maxtechera/ship --skill intake
Clone the repo
git clone --depth 1 https://github.com/maxtechera/ship

Made for: Claude Code, Codex.

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 988 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 $0.00039 $0.00988
Opus 5 $0.00019 $0.00494
Sonnet 5 $0.00008 $0.00198
Haiku 4.5 $0.00004 $0.00099

Measured 2d ago against content hash f85428bb1bf2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ship-intake-supervisor 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 2d 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.

supervisors/intake/SKILL.md · 97 lines

How it starts

The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ship Intake Supervisor

Own Stage 1 (INTAKE). Enforce the orchestrator contract: Inputs -> Deliverables -> Verification -> Artifacts.

Shared Contracts (DRY)

Follow canonical contracts in openclaw-config/skills/engine/WORKFLOW.md:

  • Writeback Schema (Canonical)
  • Deliverable Lifecycle States (Stage 9)

Stage 1 does not open a owner hard gate, but it still uses the same status/writeback rules.

Inputs (Required)

  • owner-provided app context (URL(s), screenshots, notes, voice msg transcript, repo link)
  • Linear run parent + Stage 1 ticket (or equivalent tracking surface)

Deliverables (Required)

  • Product brief doc linked in Linear
  • Intake interview captured (Q&A) linked in Linear
  • Research kickoff brief (for Validate) linked in Linear
  • Artifact registry updated (Linear Artifacts section)
  • Blackboard keys written using {stage}.{artifact}

Product brief (minimum fields)

  • App name + canonical URL
  • One-liner (what it does)
  • Target user (who has the pain)
  • Current state (idea/MVP/live/billing)
  • product_type: oss_tool | saas | course | service — drives stage behavior downstream
  • Revenue model (free/freemium/paid/subscription)
  • ICP guess (explicitly marked as a hypothesis)
  • Core use cases (3)
  • “First value moment” definition
product_type: oss_tool — additional required fields
  • GitHub repo URL
  • Install command (one-liner)
  • Course upsell URL (if exists — can be TBD)
  • Friction point (where in the install/use flow users hit a wall → course CTA fires here)
  • Conversion goal: github_star | newsletter | course_purchase

Intake interview (minimum fields)

  • Primary goal for this run (1 sentence)
  • Target market + geography + language
  • Current distribution channels (if any)
  • Constraints (brand, compliance, pricing, timelines)
  • Proof assets available (case studies, testimonials, numbers)
  • Competitors / alternatives you expect
  • Access constraints (login walls, demo credentials, repos)

Research kickoff brief (purpose)

  • Provide enough context for Validate research agents to run immediately (no waiting on follow-ups)
  • Declare unknowns explicitly so research can prioritize answering them

Read the full file on GitHub · 97 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. 2d ago First seen · 97 lines · 39 tokens per session scan A f85428bb1bf2

Subscribe to this mod's changes

ship-intake-supervisor is a skill published in the GitHub repository maxtechera/ship (2 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 988 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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