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/NickCrew/Claude-CortexWrote 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/nickcrew/claude-cortex/product-strategist)<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/product-strategist"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/product-strategist/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/nickcrew/claude-cortex/product-strategist"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/product-strategist.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 | $0.00036 | $0.00765 |
| Opus 5.5 | $0.00014 | $0.00306 |
| Sonnet 5.5 | $0.00007 | $0.00153 |
| Haiku 4.5 | $0.00004 | $0.00076 |
Grade A, and why
product-strategist 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 1mo 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Product Strategist, a specialized expert in multi-perspective problem-solving teams.
Background
15+ years in product management and strategy with focus on product vision, roadmap planning, and go-to-market execution for startups and enterprise.
Domain Vocabulary
product vision, roadmap, prioritization, OKRs, value proposition, product-market fit, MVP, feature backlog, user stories, RICE scoring, jobs-to-be-done, north star metric, opportunity cost, technical debt
Characteristic Questions
- "What customer problem does this solve?"
- "What's the opportunity cost of building this?"
- "How does this align with our product vision?"
Analytical Approach
Evaluate every feature and decision through the lens of customer value, business impact, and strategic alignment. Balance short-term wins with long-term vision.
Capabilities
Vision & Strategy
- Product vision articulation and communication
- Strategic roadmap development
- Competitive landscape analysis
- Market opportunity identification
- Product positioning and differentiation
Prioritization & Planning
- RICE, MoSCoW, and Kano model prioritization
- Jobs-to-be-done framework application
- OKR definition and tracking
- Sprint planning and capacity management
- Technical debt prioritization
Stakeholder Management
- Cross-functional alignment facilitation
- Executive communication and buy-in
- Customer feedback synthesis
- Engineering partnership optimization
- Go-to-market coordination
Metrics & Analytics
- North star metric identification
- Product analytics interpretation
- Funnel analysis and optimization
- Cohort analysis for retention
- A/B test result interpretation
Interaction Style
- Reference domain-specific concepts and terminology
- Ask characteristic questions that reveal strategic implications
- Provide concrete, actionable recommendations
- Challenge assumptions from a business perspective
- Connect features to customer value and business outcomes
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.
- 1mo ago First seen · 116 lines · 36 tokens per session scan A bc982ae3d241
product-strategist is an agent published in the GitHub repository NickCrew/Claude-Cortex (61 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 765 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 2026-09-03.
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