lamina-product-discovery

lamina-product-discovery is a skill for Claude Code, Codex from aryaniyaps/lamina. It costs 69 tokens per session (541 once invoked), scanned A, original, Apache-2.0.

A product-discovery guide for defining problems, requirements, priorities, and decisions before building software.

In plain words
What is it for?
It supports problem framing, business context, multi-actor goal alignment, feature discovery, scope prioritization, and recording product decisions.
Why use it?
It helps teams turn vague requests and conflicting goals into a bounded product problem with clear trade-offs and traceable requirements.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It supports problem framing, business context, multi-actor goal alignment, feature discovery, scope prioritization, and recording product decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aryaniyaps/lamina/lamina-product-discovery
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 aryaniyaps/lamina --skill lamina-product-discovery
Clone the repo
git clone --depth 1 https://github.com/aryaniyaps/lamina

Made for: Claude Code, Codex.

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 lamina-product-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/aryaniyaps/lamina/lamina-product-discovery/github.svg)](https://agentmods.dev/skills/aryaniyaps/lamina/lamina-product-discovery)
Your own site
<a href="https://agentmods.dev/skills/aryaniyaps/lamina/lamina-product-discovery"><img src="https://agentmods.dev/badge/skills/aryaniyaps/lamina/lamina-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.

agentmods 80×15 button for lamina-product-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/aryaniyaps/lamina/lamina-product-discovery"><img src="https://agentmods.dev/badge/skills/aryaniyaps/lamina/lamina-product-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 541 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
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00069 $0.00541
Opus 5 $0.00034 $0.00270
Sonnet 5 $0.00014 $0.00108
Haiku 4.5 $0.00007 $0.00054

Measured 13d ago against content hash 1672e9b70118, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

lamina-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 13d 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.

skills/lamina-product-discovery/SKILL.md · 36 lines

How it starts

The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lamina Product Discovery

Reference-loading protocol

  1. Match the request's primary product decision to one row below.
  2. Open that linked reference before answering. Add another only when a second decision materially changes the answer; do not preload the directory.
  3. Start the response with Using lamina-product-discovery: <topic path(s)> so the selected decision lens is auditable.

Topic index

Decision signal Read Adds
Need to turn a vague request into a bounded problem and explicit non-goals Problem Framing actors, outcomes, domain boundary, and blocking unknowns
Need to establish or update the product's business foundation Business Context evidence-backed context artifact, assumptions, and changelog
Need to reconcile goals, permissions, or conflicts across multiple actors Multi-Actor Goal Alignment explicit conflict resolution and authority mapping
Need to derive candidate product behavior from an outcome or user ask Feature Discovery entities, operations, workflows, and clarify gates
Need to choose which workflows or risks belong in the current slice Scope Prioritization invariant-, actor-, dependency-, and verification-aware priority
Need to express accepted scope as testable product behavior Requirements Definition promises, graph nodes, scenarios, and traceability
Need to classify assumptions, policy forks, or high-consequence choices Product Decisions and Tradeoffs reversibility, provenance, confidence, and blocking rules
Need to rank findings or decide whether a change targets product or contract Decision Making impact filter, fix target, and next-action ordering

Working rule

Read the full file on GitHub · 36 lines

Files

What ships with it

8 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.

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. 13d ago First seen · 36 lines · 69 tokens per session scan A 1672e9b70118

Subscribe to this mod's changes

lamina-product-discovery is a skill published in the GitHub repository aryaniyaps/lamina (114 stars, last pushed yesterday), licensed Apache-2.0. It adds 69 tokens to every session and 541 once invoked, about $0.0003 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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