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 stefan-stepzero/shipkit --skill shipkit-product-discoverygit 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/skills/stefan-stepzero/shipkit/shipkit-product-discovery)<a href="https://agentmods.dev/skills/stefan-stepzero/shipkit/shipkit-product-discovery"><img src="https://agentmods.dev/badge/skills/stefan-stepzero/shipkit/shipkit-product-discovery/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/stefan-stepzero/shipkit/shipkit-product-discovery"><img src="https://agentmods.dev/badge/skills/stefan-stepzero/shipkit/shipkit-product-discovery.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 | $0.00037 | $0.03628 |
| Opus 5.5 | $0.00015 | $0.01451 |
| Sonnet 5.5 | $0.00007 | $0.00726 |
| Haiku 4.5 | $0.00004 | $0.00363 |
Grade A, and why
shipkit-product-discovery 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 — 342 lines — stays where its author put it; the contents beside it link to each section on GitHub.
shipkit-product-discovery - Lightweight Product Discovery
Purpose: Combines personas, user journey mapping, and user stories into a single lightweight workflow for POC/MVP projects
Protocol: This skill follows the canonical elicitation protocol defined in install/shared/references/elicitation-protocol.md (the mechanics — marker, state files, resume). The steps below are this skill's specific application of that protocol.
Calibration: Apply install/shared/references/ground-or-ask-calibration.md (the intelligence — propose vs ask). Ground first: scan cited signals (the opening prompt, why.json, README.md, package.json, the codebase) before asking anything. Propose every field you can tie to a signal, tagged with its source; flag low-leverage guesses as guessed. High-leverage for this skill: who the PRIMARY personas are and their core journeys / top user needs — these define who the product is FOR and are hard to reverse. If ungrounded, ask. Low-leverage: secondary personas, edge-case journeys, ordering details — propose flagged defaults, don't ask. Target 2–3 questions maximum; if you're about to ask more, your grounding pass was too shallow. Never silently invent an ungrounded primary persona or core need.
When to Invoke
User triggers:
- "Who are our users?", "Create personas", "User research"
- "User journey", "Map user needs", "Product discovery"
- "User stories", "What features?", "Requirements"
Workflow position:
- Early Pillar 1 (Vision) or Pillar 3 (Co-design) - before specification
- Replaces separate prod-personas + prod-jobs-to-be-done + prod-user-stories for POC/MVP
Prerequisites
Optional:
.shipkit/why.json(Vision helps guide persona creation).shipkit/stack.json(Technical constraints inform feasibility)
If missing: Generate personas and stories based on user input alone
Process
Step 0: Check for Existing File
Fork context — no user prompts. You are dispatched in a fork and have no user channel. Skip the file-exists menu entirely.
What ships with it
2 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.
- 1mo ago First seen · 342 lines · 37 tokens per session scan A 1614a6ecd1f0
shipkit-product-discovery is a skill published in the GitHub repository stefan-stepzero/shipkit (1 stars, last pushed 3mo ago), licensed MIT. It adds 37 tokens to every session and 3,628 once invoked, about $0.0001 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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