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 Orkas-AI/Orkas-Awesome-AgentSkills --skill product-analysisgit clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkillsWrote 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/orkas-ai/orkas-awesome-agentskills/product-analysis)<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.
<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>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 | $0.00000 | $0.00996 |
| Opus 5 | $0.00000 | $0.00498 |
| Sonnet 5 | $0.00000 | $0.00199 |
| Haiku 4.5 | $0.00000 | $0.00100 |
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.
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:
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.
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.
- 12d ago First seen · 92 lines · 0 tokens per session scan A faa6ace0e947
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.
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