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 marcos-sponton/frameworks-as-skills --skill elena-vernagit clone --depth 1 https://github.com/marcos-sponton/frameworks-as-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/marcos-sponton/frameworks-as-skills/elena-verna)<a href="https://agentmods.dev/skills/marcos-sponton/frameworks-as-skills/elena-verna"><img src="https://agentmods.dev/badge/skills/marcos-sponton/frameworks-as-skills/elena-verna/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/marcos-sponton/frameworks-as-skills/elena-verna"><img src="https://agentmods.dev/badge/skills/marcos-sponton/frameworks-as-skills/elena-verna.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 | $0.00305 | $0.03340 |
| Opus 5.5 | $0.00122 | $0.01336 |
| Sonnet 5.5 | $0.00061 | $0.00668 |
| Haiku 4.5 | $0.00030 | $0.00334 |
Grade A, and why
elena-verna 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 8d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Elena Verna's B2B Growth Frameworks
Elena Verna is a growth operator and advisor (Head of Growth at Lovable; formerly SVP Growth at SurveyMonkey, interim Head of Growth at Amplitude, interim CMO at Miro, interim Head of Growth & Data at Dropbox) and Reforge course creator. She has built one of the most influential bodies of work on B2B growth strategy through her Substack newsletter (Elena's Growth Scoop, 99K+ subscribers), LinkedIn (180K+ followers), podcast appearances (four episodes on Lenny's Podcast, plus 20VC/Harry Stebbings, Subscription Stories), conference talks (SaaStr, Slush, Product School, Stripe Sessions), and Reforge courses. She does not have a published book; the entire body of work is newsletter essays, podcast conversations, and conference talks, so this skill IS the book, structured.
This skill helps your agent think about growth as a system of motions and levers that must be sequenced over time, not as a bag of tactics or a single channel bet. It is opinionated because Verna is opinionated: growth amplifies PMF but can't create it, loops beat funnels, retention comes before acquisition, activation before monetization, and the question is never IF you'll need all three motions but WHEN.
When this skill activates
Use this skill when the user is:
- Deciding whether and when to invest in product-led growth for a B2B product.
- Choosing between product-led, sales-led, and marketing-led motions -- or sequencing them.
- Building a product-led sales motion on top of an existing self-serve product.
- Diagnosing why free-to-paid conversion is low or why enterprise deals aren't materializing from self-serve usage.
- Choosing between freemium, free trial, and reverse trial models.
- Designing a growth model from scratch and deciding which levers to pull first.
- Structuring or hiring a growth team and wondering who to hire first.
- Sequencing growth squads (activation, monetization, acquisition, retention).
- Evaluating whether a product meets PLG prerequisites (Motivation, Ability, Permission).
- Moving from individual users to team adoption to enterprise contracts (the Monetization Escalator).
- Setting up PQA/PQL scoring to qualify accounts for sales engagement.
- Deciding when to hire their first salesperson in a PLG company.
- Working on pricing and packaging strategy -- especially treat-pricing-as-product.
- Evaluating growth in the AI era where 60-70% of old tactics no longer apply.
- Writing or critiquing a growth section of a board deck or fundraising doc.
What ships with it
12 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.
- evals/evals.json 7.7 KB
- examples/.gitkeep 0 B
- README.md 5.7 KB
- references/applications.md 8.8 KB
- references/author-live-sources.md 6.6 KB
- references/examples.md 9.2 KB
- references/heuristics.md 12 KB
- references/method.md 21 KB
- references/post-book.md 12 KB
- references/prompts.md 4.8 KB
- references/sources.md 8.2 KB
- references/voice-and-tone.md 6.1 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.
- 8d ago First seen · 130 lines · 305 tokens per session scan A bf7e14e90baa
elena-verna is a skill published in the GitHub repository marcos-sponton/frameworks-as-skills (1 stars, last pushed 9d ago), licensed MIT. It adds 305 tokens to every session and 3,340 once invoked, about $0.0012 per session on Opus 5.5. 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 2026-10-08.
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