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 magnus919/agent-skills --skill product-strategygit clone --depth 1 https://github.com/magnus919/agent-skillsWrote 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/magnus919/agent-skills/product-strategy)<a href="https://agentmods.dev/skills/magnus919/agent-skills/product-strategy"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/product-strategy/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/magnus919/agent-skills/product-strategy"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/product-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00052 | $0.00654 |
| Opus 5 | $0.00026 | $0.00327 |
| Sonnet 5 | $0.00010 | $0.00131 |
| Haiku 4.5 | $0.00005 | $0.00065 |
Grade A, and why
product-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 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.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Strategy — CPO Methodology
CPO-level methodology for product strategy, market analysis, competitive positioning, and platform thinking. This skill provides the frameworks and reference material for a chief product officer profile.
When to Load
| Trigger | What's Needed |
|---|---|
| Define product vision and North Star metric | references/product-strategy.md — North Star, product principles, vision |
| Analyze competitive landscape | references/competitive-positioning.md — Porter's Five Forces, Blue Ocean, positioning |
| Size a market opportunity | references/market-analysis.md — TAM/SAM/SOM, PMF, lifecycle |
| Prioritize a roadmap | references/product-strategy.md — RICE, Kano, OST |
| Assess product-market fit | references/market-analysis.md — Sean Ellis test, retention curves |
| Plan a platform or ecosystem strategy | references/product-strategy.md — API-first, marketplace, ecosystem |
| Develop market entry strategy | references/market-analysis.md — beachhead, land-and-expand, platform entry |
Loading Order
skill_view('product-strategy')
# Then domain-specific references:
skill_view('product-strategy', file_path='references/product-strategy.md')
skill_view('product-strategy', file_path='references/competitive-positioning.md')
skill_view('product-strategy', file_path='references/market-analysis.md')
Reference Files
| Reference | Purpose |
|---|---|
references/product-strategy.md |
North Star, product principles, RICE/Kano/OST, platform strategy, product lifecycle |
references/competitive-positioning.md |
Competitive landscape mapping, Porter's Five Forces, April Dunford positioning, differentiation strategies, competitive response playbook |
references/market-analysis.md |
TAM/SAM/SOM deep dive, PMF assessment (Sean Ellis test, retention curves), market entry strategy, product lifecycle management |
Output Contract
The profile using this skill produces artifact pyramids. The response to any caller is the absolute path to 00-index.md. See artifact-pyramids skill for the specification.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 59 lines · 52 tokens per session scan A 90ac04ee643b
product-strategy is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 654 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 2026-09-03.
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