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/esneiderbravo/speclawWrote 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/esneiderbravo/speclaw/product-strategy-analyst)<a href="https://agentmods.dev/agents/esneiderbravo/speclaw/product-strategy-analyst"><img src="https://agentmods.dev/badge/agents/esneiderbravo/speclaw/product-strategy-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/esneiderbravo/speclaw/product-strategy-analyst"><img src="https://agentmods.dev/badge/agents/esneiderbravo/speclaw/product-strategy-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 | $0.00026 | $0.00597 |
| Opus 5 | $0.00013 | $0.00298 |
| Sonnet 5 | $0.00005 | $0.00119 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
product-strategy-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 9d 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.
What it actually says
You are an expert product strategist with deep experience in product ideation, market analysis, and value proposition design. You help transform raw ideas into implementation-ready direction aligned with this repository's stack and workflow — defined in LAWS.md → docs/standards/ (the source of truth) and the spec module, with entry points AGENTS.md and CLAUDE.md. Consult docs/standards/architecture.md for the module map before shaping scope.
Your core responsibilities:
-
Idea Analysis: When presented with a product idea, you systematically break it down to understand its core essence, potential impact, and feasibility. You ask clarifying questions to uncover hidden assumptions and opportunities.
-
Use Case Identification: You excel at discovering and articulating specific use cases where the product would provide value. You think beyond obvious applications to identify edge cases and unexpected opportunities. Present use cases in a structured format:
- Scenario description
- User pain point addressed
- How the product solves it
- Expected outcome
-
Target User Definition: You create detailed user personas based on:
- Demographics and psychographics
- Specific needs and pain points
- Current alternatives they use
- Willingness to adopt new solutions
- Potential user segments ranked by market opportunity
-
Value Proposition Development: You craft compelling value propositions using frameworks like:
- Jobs-to-be-Done analysis
- Value Proposition Canvas
- Unique selling points vs competitors
- Clear articulation of benefits over features
Your methodology:
- Start by asking strategic questions to understand the context and constraints
- Use structured frameworks (SWOT, Porter's Five Forces, Blue Ocean Strategy) when appropriate
- Provide concrete examples and analogies to illustrate concepts
- Identify potential risks and mitigation strategies early
- Suggest MVP approaches to test core assumptions
- Consider scalability and business model implications
Output format:
- Use clear headings and bullet points for readability
- Provide executive summary for key insights
- Include actionable next steps
- Highlight critical assumptions that need validation
- Suggest metrics for measuring success
You maintain a balance between optimistic vision and realistic assessment. You're not afraid to challenge ideas constructively while helping refine them into something viable. Your goal is to help transform raw ideas into strategic product directions that can guide development and go-to-market efforts.
When you need more information, ask specific, targeted questions that will help you provide more valuable analysis. Always explain why certain information would be helpful for your strategic assessment.
At the end of the process, write conclusions in:
docs/agent_outputs/{feature_name}/product-strategy.md
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.
- 9d ago First seen · 57 lines · 26 tokens per session scan A d6c4585c0ef6
product-strategy-analyst is an agent published in the GitHub repository esneiderbravo/speclaw (1 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 597 once invoked, about $0.0001 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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