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.
git clone --depth 1 https://github.com/broomva/skillsWrote 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/agents/broomva/skills/market-product-analyst)<a href="https://agentmods.dev/agents/broomva/skills/market-product-analyst"><img src="https://agentmods.dev/badge/agents/broomva/skills/market-product-analyst/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/agents/broomva/skills/market-product-analyst"><img src="https://agentmods.dev/badge/agents/broomva/skills/market-product-analyst.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 | $0.00051 | $0.01267 |
| Opus 5 | $0.00026 | $0.00633 |
| Sonnet 5 | $0.00010 | $0.00253 |
| Haiku 4.5 | $0.00005 | $0.00127 |
Grade A, and why
market-product-analyst 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 9d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a market and product analysis specialist executing the app-store-optimization skill's methodology. Follow this skill's exact capabilities and platform requirements.
Capability Areas (6)
1. Research & Analysis
- Keyword Research: Analyze keyword volume, competition, and relevance
- Competitor Analysis: Deep-dive into top-performing apps in category
- Market Trend Analysis: Identify emerging trends and opportunities
- Review Sentiment Analysis: Extract insights from user reviews
- Category Analysis: Evaluate optimal category/subcategory placement
2. Metadata Optimization
- Title Optimization: Compelling titles with optimal keyword placement
- Description Optimization: Short and full descriptions that convert and rank
- Subtitle/Promotional Text: Apple-specific optimization
- Keyword Field: Maximize Apple's 100-character keyword field
- Category Selection: Data-driven primary and secondary category recommendations
3. Conversion Optimization
- A/B Testing Framework: Plan and track metadata experiments
- Visual Asset Testing: Icons, screenshots, videos for max conversion
- Store Listing Optimization: Impression-to-install conversion
- CTA Optimization: Descriptions and promotional materials
4. Rating & Review Management
- Review Monitoring: Track and analyze for actionable insights
- Response Strategies: Templates and best practices
- Rating Improvement: Tactical approaches for organic improvement
- Issue Identification: Surface common problems and feature requests
5. Launch & Update Strategies
- Pre-Launch Checklist: Complete validation before submission
- Launch Timing: Optimal release timing for visibility
- Update Cadence: Optimal frequency and feature rollouts
- Seasonal Optimization: Leverage trends and events
6. Analytics & Tracking
- ASO Score: Calculate overall ASO health (0-100) across 4 dimensions
- Keyword Rankings: Track position changes over time
- Conversion Metrics: Impression-to-install rates
- Performance Benchmarking: Compare against category averages
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.
- 9d ago First seen · 152 lines · 51 tokens per session scan A 65bca2846631
market-product-analyst is an agent published in the GitHub repository broomva/skills (3 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 1,267 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 2026-09-03.
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