product-analysis

product-analysis is a skill for Claude Code, Codex from Orkas-AI/Orkas-Awesome-AgentSkills. It costs 0 tokens per session (996 once invoked), scanned A, original, MIT.

A guide for evaluating product or startup ideas before writing a product requirements document (PRD), a detailed plan for building a product.

In plain words
What is it for?
It is for analysing user research, comparing competitors, scoring opportunities, challenging assumptions, and choosing the next validation step.
Why use it?
It separates evidence from assumptions, so teams can test whether a direction is worth pursuing before committing to a build plan.

Skill for Claude CodeCodex

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

Good fit It is for analysing user research, comparing competitors, scoring opportunities, challenging assumptions, and choosing the next validation step.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/orkas-ai/orkas-awesome-agentskills/product-analysis
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 Orkas-AI/Orkas-Awesome-AgentSkills --skill product-analysis
Clone the repo
git clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkills

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 product-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/product-analysis/github.svg)](https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/product-analysis)
Your own site
<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/product-analysis"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/product-analysis/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 product-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/product-analysis"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/product-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 996 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.
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 $0.00000 $0.00996
Opus 5 $0.00000 $0.00498
Sonnet 5 $0.00000 $0.00199
Haiku 4.5 $0.00000 $0.00100

Measured 12d ago against content hash faa6ace0e947, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

product-analysis 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 12d 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.

product/skills/product-analysis/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Analysis

Use this skill before writing a PRD. Its job is to decide whether a product direction is worth further exploration, what evidence exists, what is still assumed, and what the next validation step should be.

Do not use this skill to write a full PRD, design handoff, acceptance criteria, engineering breakdown, or implementation plan. Hand those stages to the next skill after the product need is clearer.

Route The Work

Choose the lightest useful path:

User intent Read
Early idea, startup direction, "worth doing?", problem-solution fit references/idea-validation.md
Interview notes, customer calls, usability test records, feedback synthesis references/interview-synthesis.md
Competitors, market alternatives, feature matrix, positioning, differentiation references/competitive-analysis.md
Need a unified score across problem strength, evidence, PCV, and readiness references/opportunity-scoring.md
User asks to challenge assumptions, stress-test the direction, or "grill me" references/decision-challenge.md

When the request combines multiple inputs, start with a short integrated summary, then expand only the relevant sections.

Required Boundaries

  • Separate evidence, inference, assumption, and open question.
  • Do not invent users, quotes, competitors, market data, metrics, prices, technical evidence, or business conclusions.
  • If the user provides no source material, ask for the minimum missing information or mark the output as low-confidence.
  • If competitor facts, pricing, regulations, market news, or current public information matter, verify sources before relying on them.
  • Protect participant identity. Do not include PII from interviews unless the user explicitly authorizes it and it is necessary.

Default Output

Use Markdown. Keep the report compact unless the user asks for a full analysis.

# Product Analysis: [Direction / Problem Name]

## Executive Summary
- One-line judgment:
- Recommendation: continue validation / pause / pivot / stop
- Confidence: high / medium / low
- Biggest uncertainty:

## Inputs And Evidence
| Type | Available Material | Reliability | Gap |
|---|---|---|---|
| Users / interviews | | | |
| Competitors / alternatives | | | |
| Problem strength | | | |
| Payment / budget | | | |

## Demand And Opportunity Judgment
- Target user / ICP:
- Core pain:
- Current alternatives:
- Why now:
- Opportunity:

## Key Findings
1. [Finding] - Evidence: [source or material location] - Confidence: [high/medium/low]
2. [Finding] - Evidence: [source or material location] - Confidence: [high/medium/low]

## Risks And Hidden Assumptions
- [Assumption/risk] - How to validate:

## Next Validation Steps
| Priority | Action | Goal | Success Criteria |
|---|---|---|---|
| P0 | | | |

## Handoff To Next Stage
- Recommended next stage:
- Missing before entering next stage:

Read the full file on GitHub · 92 lines

Files

What ships with it

5 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. 12d ago First seen · 92 lines · 0 tokens per session scan A faa6ace0e947

Subscribe to this mod's changes

product-analysis is a skill published in the GitHub repository Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 996 tokens. 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.