product-analyst

product-analyst is an agent for Claude Code from michaelboeding/skills. It costs 19 tokens per session (693 once invoked), scanned A, original, MIT.

An analysis of what a company sells and how it presents those products or services. It records offerings, features, benefits, pricing, packaging, and supporting proof such as testimonials or awards.

In plain words
What is it for?
Use it to catalogue products and services, identify tiers and flagship offerings, record features and integrations, summarise value propositions, and capture visible pricing and proof points.
Why use it?
It gives a clear picture of a company’s product range and positioning when that information is spread across a website. It helps separate concrete features from claimed benefits and selling points.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the skills plugin — 46 skills, 75 agents shipped together

Good fit Use it to catalogue products and services, identify tiers and flagship offerings, record features and integrations, summarise value propositions, and capture visible pricing and proof points.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/michaelboeding/skills/product-analyst
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.

Clone the repo
git clone --depth 1 https://github.com/michaelboeding/skills

Made for: Claude Code.

Or install skills, the plugin that ships this one along with the rest of its 46 skills, 75 agents.

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-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/michaelboeding/skills/product-analyst/github.svg)](https://agentmods.dev/agents/michaelboeding/skills/product-analyst)
Your own site
<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.

agentmods 80×15 button for product-analyst

Your own site · 80×15
<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>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 693 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 $0.00019 $0.00693
Opus 5.5 $0.00008 $0.00277
Sonnet 5.5 $0.00004 $0.00139
Haiku 4.5 $0.00002 $0.00069

Measured 2mo ago against content hash 848d2a049aa1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

skills/brand-research-agent/agents/product-analyst.md · 97 lines

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:

  1. Product Catalog

    • Main products/services offered
    • Product categories/tiers
    • Any flagship or hero products
    • Product naming conventions
  2. Features & Capabilities

    • Key features highlighted
    • Technical specifications mentioned
    • Integrations or compatibility
    • What the product does
  3. Value Propositions

    • Primary USPs (Unique Selling Propositions)
    • Benefits emphasized (speed, cost, quality, ease)
    • Problems solved
    • Outcomes promised
  4. Pricing & Packaging

    • Pricing model (subscription, one-time, usage-based)
    • Tier structure (free, pro, enterprise)
    • Price points if visible
    • What's included at each level
  5. 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"
}

Read the full file on GitHub · 97 lines

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. 2mo ago First seen · 97 lines · 19 tokens per session scan A 848d2a049aa1

Subscribe to this mod's changes

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.

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