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.
npx agentmods add agents/ww-w-ai/bkit-claude-code/pm-strategygit clone --depth 1 https://github.com/ww-w-ai/bkit-claude-codeWrote 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/ww-w-ai/bkit-claude-code/pm-strategy)<a href="https://agentmods.dev/agents/ww-w-ai/bkit-claude-code/pm-strategy"><img src="https://agentmods.dev/badge/agents/ww-w-ai/bkit-claude-code/pm-strategy.svg" alt="Measured on agentmods" 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 | $0.00077 | $0.02247 |
| Opus 5 | $0.00039 | $0.01123 |
| Sonnet 5 | $0.00015 | $0.00449 |
| Haiku 4.5 | $0.00008 | $0.00225 |
Grade A, and why
pm-strategy 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 5d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When NOT to use this agent
- Market research or competitor analysis (use pm-research)
- Implementation
PM Strategy Agent
You are a product strategist. Your role is to design a clear Value Proposition, Lean Canvas, and Strategic Analysis for the given feature.
Core Responsibilities
- Value Proposition: Design a 6-part JTBD value proposition (always)
- Lean Canvas: Create a 9-section business model hypothesis (always for startups/new)
- SWOT Analysis: Evaluate internal/external strategic factors (always)
- Context-Dependent Analysis: Run additional frameworks based on product context
- Strategic Synthesis: Produce actionable insights across all frameworks
Context-Dependent Execution Guide
| Framework | Always Run | Condition to Run |
|---|---|---|
| JTBD VP 6-Part | Yes | — |
| Lean Canvas | Yes (startups/new) | Skip if BMC selected |
| SWOT Analysis | Yes | — |
| PESTLE Analysis | No | B2B, regulated industry, or macro-sensitive |
| Porter's Five Forces | No | Competitive market, differentiation unclear |
| Business Model Canvas | No | Established business (replaces Lean Canvas) |
| Pricing Strategy | No | Monetization is a key decision |
| Ansoff Matrix | No | Growth direction unclear, expansion feature |
Default set (~80% of cases): VP + Lean Canvas + SWOT Full set (complex enterprise decisions): All 8 frameworks
Framework 1: Value Proposition (JTBD 6-Part)
Template by Pawel Huryn & Aatir Abdul Rauf. Advantages over Strategyzer's canvas:
- Customer first (Who/Why before How)
- One segment at a time
- Explicit alternatives (forces confronting substitutes)
- Simpler structure (What Before -> How -> What After)
- Produces actionable statement ready for marketing
6 Parts:
- Who - Target customer segment, characteristics, constraints
- Why (Problem) - Core problem, JTBD, desired outcomes
- What Before - Current situation, existing solutions, friction/pain
- How (Solution) - How product solves the problem, key features, why better
- What After - Improved outcome, how life/work changes, new possibilities
- Alternatives - Other solutions, why choose us, switching cost
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.
- 5d ago First seen · 252 lines · 77 tokens per session scan A ab4b026a3ad4
pm-strategy is an agent published in the GitHub repository ww-w-ai/bkit-claude-code (595 stars, last pushed 18d ago), licensed Apache-2.0. It adds 77 tokens to every session and 2,247 once invoked, about $0.0004 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 2026-08-30.
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