model-growth-funnel

model-growth-funnel is a skill for Claude Code, Codex from forsvn-labs/meta-skills. It costs 49 tokens per session (461 once invoked), scanned A, original, MIT.

A numerical model that works backward from a business goal through the steps needed to reach it, such as visitors, leads, sales, and revenue. A funnel is the path from an initial audience to the final result.

In plain words
What is it for?
Use it to plan revenue or growth targets, set conversion goals, test best- and worst-case outcomes, and find the evidence or capacity needed to judge whether a target is feasible.
Why use it?
It shows which assumptions and conversion rates the goal depends on instead of presenting an unsupported forecast. It also checks whether the market, team, sales process, delivery, and margins can handle the required volume.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the conquistador plugin — 21 skills shipped together

Good fit Use it to plan revenue or growth targets, set conversion goals, test best- and worst-case outcomes, and find the evidence or capacity needed to judge whether a target is feasible.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/forsvn-labs/meta-skills/model-growth-funnel
Install

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.

Any agent
npx skills add forsvn-labs/meta-skills --skill model-growth-funnel
Clone the repo
git clone --depth 1 https://github.com/forsvn-labs/meta-skills

Made for: Claude Code, Codex.

Or install conquistador, the plugin that ships this one along with the rest of its 21 skills.

Wrote 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.

agentmods badge for model-growth-funnel

README.md
[![agentmods](https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/model-growth-funnel/github.svg)](https://agentmods.dev/skills/forsvn-labs/meta-skills/model-growth-funnel)
Your own site
<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/model-growth-funnel"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/model-growth-funnel/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.

agentmods 80×15 button for model-growth-funnel

Your own site · 80×15
<a href="https://agentmods.dev/skills/forsvn-labs/meta-skills/model-growth-funnel"><img src="https://agentmods.dev/badge/skills/forsvn-labs/meta-skills/model-growth-funnel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 461 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.00461
Opus 5 $0.00024 $0.00230
Sonnet 5 $0.00010 $0.00092
Haiku 4.5 $0.00005 $0.00046

Measured 12d ago against content hash d77477e415ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

model-growth-funnel 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.

skills/model-growth-funnel/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Model a growth funnel

Turn a business target into explicit math, assumptions, constraints, and the next evidence needed. This is a decision model, not a forecast.

Define the outcome and units

Name the target, time window, currency, customer/account definition, and whether the target means bookings, recurring revenue, recognized revenue, activation, or another outcome. Do not mix people, accounts, opportunities, orders, and revenue in one rate.

Work backward from the outcome through the smallest useful funnel. For each transition, show:

  • numerator and denominator;
  • current observed value and source, when available;
  • planning assumption when evidence is absent;
  • owner and date for replacing the assumption;
  • operational action required at that volume.

Keep arithmetic inspectable. Show formulas and rounded operational totals.

Test feasibility

Run at least downside, base, and upside cases across the assumptions most likely to change the decision. Do not vary everything at once.

Check:

  • audience/market capacity;
  • acquisition and sales throughput;
  • onboarding, delivery, and support capacity;
  • average contract or order value;
  • gross margin and marginal service cost;
  • retention/churn where the time horizon requires it;
  • acquisition cost, payback, and LTV:CAC only when their inputs exist.

If the model requires impossible throughput, unjustified conversion, or negative economics, say so and identify the binding constraint. Do not reverse-engineer optimistic rates merely to hit the goal.

Deliver

Return:

  1. decision and target definition;
  2. assumptions table with source/owner;
  3. base model and formulas;
  4. downside/base/upside sensitivity;
  5. capacity and unit-economics constraints;
  6. the assumptions with highest decision sensitivity;
  7. smallest evidence plan for replacing them;
  8. feasible range, revised target, or explicit no-go recommendation.

Separate model outputs from observed results. Keep spending and external system changes behind explicit approval.

Read the full file on GitHub · 64 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 12d ago First seen · 64 lines · 49 tokens per session scan A d77477e415ba

Subscribe to this mod's changes

model-growth-funnel is a skill published in the GitHub repository forsvn-labs/meta-skills (14 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 461 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

data-charts-tako

Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more.

gooseworks-ai/goose-skills · 35 tokens

apollo-lead-finder

Two-phase Apollo.io prospecting: free People Search to discover ICP-matching leads, then selective enrichment to reveal emails/phones (credits per contact). Creates Apollo lists. Deduplicates against existing contacts by LinkedIn URL.

gooseworks-ai/goose-skills · 51 tokens

monorepo-management

Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.

wshobson/agents · 54 tokens

browse-and-evaluate

Use when exploring the ai-agent-skills catalog to find, compare, and evaluate skills before installing. Always use --fields to limit output size and --dry-run before committing to an install.

MoizIbnYousaf/Ai-Agent-Skills · 43 tokens

render-3d-product-showcase

Assemble a premium 3D product-showcase ad from a config — four beat clips (an orbiting hero rotation, a macro push-in, a physics reveal, a typographic close) normalized to the brand-color canvas, hard-concatenated in order, closed on a deterministic Playwright brand end card, and mixed under one instrumental bed at…

gooseworks-ai/goose-skills · 159 tokens

render-airdrop-carousel

Assemble a viral iOS "AirDrop" notification-carousel video ad (≈6–8s, 9:16) from a brand line plus 6–16 real product photos — a native AirDrop share-sheet card ("Brand would like to share a · Decline / Accept") springs up and its preview window CYCLES through the products, landing on a range/lineup payoff with an…

gooseworks-ai/goose-skills · 207 tokens