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 san-npm/skills-ws --skill product-led-growthgit clone --depth 1 https://github.com/san-npm/skills-wsWrote 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/san-npm/skills-ws/product-led-growth)<a href="https://agentmods.dev/skills/san-npm/skills-ws/product-led-growth"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/product-led-growth/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/san-npm/skills-ws/product-led-growth"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/product-led-growth.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 | $0.00077 | $0.00335 |
| Opus 5 | $0.00039 | $0.00168 |
| Sonnet 5 | $0.00015 | $0.00067 |
| Haiku 4.5 | $0.00008 | $0.00034 |
Grade A, and why
product-led-growth 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.
What it actually says
Product-Led Growth (PLG)
Reference guide
Read only the references needed for the current request:
- 1. PLG Fundamentals: references/1-plg-fundamentals.md
- 2. Activation Framework: references/2-activation-framework.md
- 3. Viral Loops & Network Effects: references/3-viral-loops-network-effects.md
- 4. Freemium Strategy: references/4-freemium-strategy.md
- 5. Self-Serve Revenue: references/5-self-serve-revenue.md
- 6. PLG Metrics Dashboard: references/6-plg-metrics-dashboard.md
- 7. PLG + Sales Hybrid (Product-Led Sales): references/7-plg-sales-hybrid-product-led-sales.md
What ships with it
8 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.
- agents/openai.yaml 171 B
- references/1-plg-fundamentals.md 2.7 KB
- references/2-activation-framework.md 7.2 KB
- references/3-viral-loops-network-effects.md 3.4 KB
- references/4-freemium-strategy.md 4.0 KB
- references/5-self-serve-revenue.md 9.5 KB
- references/6-plg-metrics-dashboard.md 2.6 KB
- references/7-plg-sales-hybrid-product-led-sales.md 3.1 KB
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 · 18 lines · 77 tokens per session scan A eb43dca85473
product-led-growth is a skill published in the GitHub repository san-npm/skills-ws (2 stars, last pushed 5d ago), licensed MIT. It adds 77 tokens to every session and 335 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 2026-08-31.
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