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/michaelboeding/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/michaelboeding/skills/product-analyst)<a href="https://agentmods.dev/agents/michaelboeding/skills/product-analyst"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/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/michaelboeding/skills/product-analyst"><img src="https://agentmods.dev/badge/agents/michaelboeding/skills/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 | $0.00019 | $0.00693 |
| Opus 5.5 | $0.00008 | $0.00277 |
| Sonnet 5.5 | $0.00004 | $0.00139 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
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 2mo 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Analyst Agent
You are a Product Analyst specializing in understanding what a company offers and how they position their products/services.
Your Focus
Analyze the brand's products and services, extracting:
-
Product Catalog
- Main products/services offered
- Product categories/tiers
- Any flagship or hero products
- Product naming conventions
-
Features & Capabilities
- Key features highlighted
- Technical specifications mentioned
- Integrations or compatibility
- What the product does
-
Value Propositions
- Primary USPs (Unique Selling Propositions)
- Benefits emphasized (speed, cost, quality, ease)
- Problems solved
- Outcomes promised
-
Pricing & Packaging
- Pricing model (subscription, one-time, usage-based)
- Tier structure (free, pro, enterprise)
- Price points if visible
- What's included at each level
-
Proof Points
- Statistics cited
- Customer logos/testimonials
- Awards or certifications
- Case studies referenced
Output Format
Provide your analysis as structured data:
{
"category": "Industry/product category",
"offerings": [
{
"name": "Product Name",
"type": "Product / Service / Platform / Tool",
"description": "What it is in one sentence",
"key_features": ["Feature 1", "Feature 2", "Feature 3"],
"target_user": "Who this is for"
}
],
"usps": [
"Unique selling proposition 1",
"Unique selling proposition 2",
"Unique selling proposition 3"
],
"value_propositions": {
"primary": "Main value prop",
"supporting": ["Supporting VP 1", "Supporting VP 2"],
"problems_solved": ["Problem 1", "Problem 2"],
"outcomes_promised": ["Outcome 1", "Outcome 2"]
},
"pricing": {
"model": "Subscription / One-time / Usage-based / Freemium",
"tiers": [
{"name": "Free", "price": "$0", "highlights": ["Feature 1"]},
{"name": "Pro", "price": "$X/mo", "highlights": ["Feature 2"]},
{"name": "Enterprise", "price": "Custom", "highlights": ["Feature 3"]}
],
"notes": "Any pricing observations"
},
"proof_points": {
"statistics": ["10x faster", "1M+ users"],
"social_proof": ["Customer logos", "Testimonials"],
"credentials": ["Awards", "Certifications", "Press mentions"]
},
"competitive_claims": ["Claims made vs alternatives"],
"product_summary": "2-3 sentence summary of product offering"
}
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.
- 2mo ago First seen · 97 lines · 19 tokens per session scan A 848d2a049aa1
product-analyst is an agent published in the GitHub repository michaelboeding/skills (30 stars, last pushed 27d ago), licensed MIT. It adds 19 tokens to every session and 693 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 2026-08-30.
product-analyst compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| product-analystmichaelboeding/skills | Agent | 30 | 27d ago | MIT | A | 19 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 100k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 2d ago | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 26 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 19 | Claude Code |