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 frank-luongt/faos-skills-marketplace --skill opportunity-solution-treegit clone --depth 1 https://github.com/frank-luongt/faos-skills-marketplaceWrote 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/frank-luongt/faos-skills-marketplace/opportunity-solution-tree)<a href="https://agentmods.dev/skills/frank-luongt/faos-skills-marketplace/opportunity-solution-tree"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/opportunity-solution-tree/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/frank-luongt/faos-skills-marketplace/opportunity-solution-tree"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/opportunity-solution-tree.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 | $0.00000 | $0.02039 |
| Opus 5 | $0.00000 | $0.01019 |
| Sonnet 5 | $0.00000 | $0.00408 |
| Haiku 4.5 | $0.00000 | $0.00204 |
Grade A, and why
opportunity-solution-tree 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 12d 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 — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: opportunity-solution-tree description: Build an Opportunity Solution Tree to connect desired outcomes to customer opportunities, solutions, and experiments. Use when prioritizing discovery work, mapping customer needs to solutions, or deciding what to build next. tags: [discovery, prioritization, product-strategy, continuous-discovery]
Opportunity Solution Tree
A visual framework from Teresa Torres' Continuous Discovery Habits that connects a desired outcome to customer opportunities, potential solutions, and assumption tests — ensuring you build what matters most.
Purpose
Prevent the two most common PM failure modes:
- Feature factory — shipping features without connecting them to outcomes
- Analysis paralysis — researching endlessly without converging on action
The OST forces explicit links: Outcome → Opportunities → Solutions → Experiments.
When to Use
- Starting a new quarter or initiative and need to decide what to build
- You have research data (interviews, surveys, analytics) but no clear prioritization
- Stakeholders are pushing features without articulating the customer need
- You want to evaluate multiple solution paths before committing
When NOT to Use
- You already have a validated solution and need execution planning (use PRD instead)
- The problem is purely technical with no customer-facing dimension
- You need a full product strategy (use
product-strategy-canvasinstead)
The Framework
┌─────────────────┐
│ Desired Outcome │ ← Single measurable metric
└────────┬────────┘
│
┌──────────────┼──────────────┐
▼ ▼ ▼
┌───────────┐ ┌───────────┐ ┌───────────┐
│Opportunity│ │Opportunity│ │Opportunity│ ← Customer needs/pain points
│ 1 │ │ 2 │ │ 3 │
└─────┬─────┘ └─────┬─────┘ └─────┬─────┘
│ │ │
┌────┼────┐ ┌───┼───┐ ┌────┼────┐
▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼ ▼
Sol. Sol. Sol. Sol. Sol. Sol. Sol. Sol. Sol. ← Multiple solutions per opp.
│ │ │
▼ ▼ ▼
Exp. Exp. Exp. ← Assumption tests
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.
- 12d ago First seen · 244 lines · 0 tokens per session scan A d0aaa2a7f0af
opportunity-solution-tree is a skill published in the GitHub repository frank-luongt/faos-skills-marketplace (33 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,039 tokens. 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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