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 skills add pmprompt/claude-plugin-product-management --skill opportunity-solution-treesgit clone --depth 1 https://github.com/pmprompt/claude-plugin-product-managementWrote 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/skills/pmprompt/claude-plugin-product-management/opportunity-solution-trees)<a href="https://agentmods.dev/skills/pmprompt/claude-plugin-product-management/opportunity-solution-trees"><img src="https://agentmods.dev/badge/skills/pmprompt/claude-plugin-product-management/opportunity-solution-trees/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/skills/pmprompt/claude-plugin-product-management/opportunity-solution-trees"><img src="https://agentmods.dev/badge/skills/pmprompt/claude-plugin-product-management/opportunity-solution-trees.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00068 | $0.01138 |
| Opus 5 | $0.00034 | $0.00569 |
| Sonnet 5 | $0.00014 | $0.00228 |
| Haiku 4.5 | $0.00007 | $0.00114 |
Grade A, and why
opportunity-solution-trees 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- opportunity-solution-trees — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Opportunity Solution Trees
Domain Context
The Opportunity Solution Tree (Teresa Torres, Continuous Discovery Habits) is the backbone of modern product discovery. It prevents teams from jumping to solutions by forcing them to first map the opportunity space.
Structure (4 levels):
-
Desired Outcome (top) — The measurable business or product outcome you're pursuing. Should be a single, clear metric (e.g., "increase 7-day retention to 40%"). This comes from your OKRs or product strategy.
-
Opportunities (second level) — Customer needs, pain points, or desires discovered through research. Frame them from the customer's perspective: "I struggle to..." or "I wish I could..." Prioritize using Opportunity Score: Importance × (1 − Satisfaction) (Dan Olsen).
-
Solutions (third level) — Possible ways to address each opportunity. Generate multiple solutions per opportunity — don't commit to the first idea. The Product Trio (PM + Designer + Engineer) should ideate together.
-
Experiments (bottom) — Fast, cheap tests to validate whether a solution addresses the opportunity. Use assumption testing (Value, Usability, Viability, Feasibility).
Key principles:
- One outcome at a time — don't try to solve everything
- Opportunities, not features — never let customers design solutions
- Compare and contrast — generate at least 3 solutions per opportunity
- Discovery is not linear — loop back if experiments fail
- Continuous, not periodic — update the tree weekly
Input Requirements
- A desired outcome or business metric to improve
- Customer research data (interviews, surveys, analytics, feedback)
- Optionally: existing opportunities or solution ideas to organize
What It Is
Use the Opportunity Solution Tree (OST) to connect a business outcome to the customer opportunities that drive it, then compare solutions and tests. The tree forces you to separate needs from ideas and keeps discovery tied to delivery.
When to Use It
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.
- 10d ago First seen · 108 lines · 68 tokens per session scan A c0373308e680
opportunity-solution-trees is a skill published in the GitHub repository pmprompt/claude-plugin-product-management (49 stars, last pushed 6mo ago), licensed MIT. It adds 68 tokens to every session and 1,138 once invoked, about $0.0003 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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