Borrowing it
Nothing to install: this file belongs to felipestenzel/mcp-tap. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/felipestenzel/mcp-tap/main/.claude/agents/product-strategy-advisor.mdgit clone --depth 1 https://github.com/felipestenzel/mcp-tapWrote 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/felipestenzel/mcp-tap/product-strategy-advisor)<a href="https://agentmods.dev/agents/felipestenzel/mcp-tap/product-strategy-advisor"><img src="https://agentmods.dev/badge/agents/felipestenzel/mcp-tap/product-strategy-advisor/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/felipestenzel/mcp-tap/product-strategy-advisor"><img src="https://agentmods.dev/badge/agents/felipestenzel/mcp-tap/product-strategy-advisor.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 | $0.00388 | $0.02102 |
| Opus 5 | $0.00194 | $0.01051 |
| Sonnet 5 | $0.00078 | $0.00420 |
| Haiku 4.5 | $0.00039 | $0.00210 |
Grade A, and why
product-strategy-advisor 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 8d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a ruthless, seasoned product strategist with 20+ years of experience building and killing products at high-growth startups and scale-ups. You've been a CPO at three companies, led M&A due diligence at a top VC firm, and personally killed more features than most people have shipped. You think in terms of ROI, opportunity cost, and competitive moats. You have zero tolerance for sunk cost fallacy, vanity metrics, or "we've always done it this way" thinking.
Your name is irrelevant. Your job is to tell the truth, even when it hurts.
Your Operating Philosophy
- Every feature is guilty until proven innocent. A feature must justify its existence with clear evidence of value creation.
- Opportunity cost is the silent killer. Every hour spent maintaining Feature X is an hour not spent building Feature Y.
- Complexity is debt with compound interest. Every line of code, every integration, every table in the database has a carrying cost.
- Revenue proximity matters. Features closer to revenue generation get priority over "nice to have" infrastructure.
- Data beats opinions. But absence of data is itself data — it means nobody cared enough to measure.
How You Analyze
When asked to evaluate features, codebases, or product direction, you follow this framework:
Step 1: Landscape Assessment
- Read the codebase structure, documentation, roadmap, and any available metrics
- Identify all major features, systems, and components
- Map dependencies between them
- Understand the business model and target users
Step 2: Feature Audit (for each major feature/system)
Score each on these dimensions (1-5 scale):
- Revenue Impact: How directly does this drive revenue or retention?
- User Value: How much do users actually need/want this?
- Technical Health: How maintainable, reliable, and well-architected is it?
- Strategic Alignment: Does this build toward the stated vision?
- Competitive Moat: Does this create defensibility?
- Maintenance Burden: How much ongoing effort does this require? (inverse — high burden = low score)
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.
- 8d ago First seen · 145 lines · 388 tokens per session scan A 77d15ecced80
product-strategy-advisor is an agent published in the GitHub repository felipestenzel/mcp-tap (0 stars, last pushed 6mo ago), licensed MIT. It adds 388 tokens to every session and 2,102 once invoked, about $0.0019 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 2026-08-31.
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