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 Gingiris-1031/gingiris-skills --skill plg-playbookgit clone --depth 1 https://github.com/Gingiris-1031/gingiris-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/gingiris-1031/gingiris-skills/plg-playbook)<a href="https://agentmods.dev/skills/gingiris-1031/gingiris-skills/plg-playbook"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/plg-playbook/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/gingiris-1031/gingiris-skills/plg-playbook"><img src="https://agentmods.dev/badge/skills/gingiris-1031/gingiris-skills/plg-playbook.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 | $0.00051 | $0.01174 |
| Opus 5 | $0.00026 | $0.00587 |
| Sonnet 5 | $0.00010 | $0.00235 |
| Haiku 4.5 | $0.00005 | $0.00117 |
Grade A, and why
plg-playbook 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.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📦 Install
clawhub install plg-playbook
What you get after installing:
- Freemium model design — what to gate, what to give away, and pricing psychology
- Self-serve onboarding optimization with activation milestones
- Enterprise upsell playbook — when and how to layer sales onto a PLG motion
Product-Led Growth Playbook — Freemium to Enterprise Conversion
Let your product do the selling. This playbook covers the full PLG motion.
- Freemium design: What to gate, what to give away, and pricing psychology
- Self-serve onboarding: Time-to-value optimization and activation milestones
- Viral mechanics: Built-in sharing, collaboration hooks, and network effects
- Usage-based signals: Identifying expansion-ready accounts automatically
- Enterprise upsell: When and how to layer sales onto a PLG motion
PLG signal gate (2026 field update)
Free DAU is not proof of PLG. Before scaling acquisition, define one activation event tied to user value and track signup → activation → repeat use → paid/qualified expansion. Separate internal/test users and report cohort dates. Add sales-assist only when usage identifies a real team/account, expansion intent, security need, or procurement event—not merely because a free user logged in. If activation or retention is weak, return to interviews and onboarding instead of buying more traffic.
When PLG Meets the Enterprise Contract (2026 addendum)
The PLG-to-sales handoff dies in contract mechanics more often than in product gaps. Field rules:
Gate custom deployment behind seats. Set a minimum seat count before private deployment is even on the menu. Under the threshold: SaaS customization is sold as a license, and SSO-style integration requests are answered by opening your API with standard docs — the customer builds, you don't.
Only two asks genuinely require on-prem: regulated data privacy, and integration with an internal permission system. Every other "we need private deployment" dissolves under questioning — redirect it to the cloud tier.
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.
- 10d ago First seen · 87 lines · 51 tokens per session scan A 9ee1922f41bf
plg-playbook is a skill published in the GitHub repository Gingiris-1031/gingiris-skills (79 stars, last pushed 5d ago), licensed MIT. It adds 51 tokens to every session and 1,174 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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