acquisition-channel-selection-scorer

acquisition-channel-selection-scorer is a skill for Claude Code from bookforge-ai/bookforge-skills. It costs 272 tokens per session (6,023 once invoked), scanned A, original, CC-BY-SA-4.0.

A scoring guide for choosing customer-acquisition channels after a product has achieved product-market fit. It compares channels by cost, targeting, control, time, and ability to scale, while checking whether the market and product fit the channel.

In plain words
What is it for?
Use it to compare acquisition options, check language and market fit, assess channel-product fit, and rank channels for further testing.
Why use it?
It turns a broad channel choice into a structured comparison. This helps teams avoid investing in channels that do not match their audience, message, or product.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the hacking-growth plugin — 11 skills shipped together

Good fit Use it to compare acquisition options, check language and market fit, assess channel-product fit, and rank channels for further testing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bookforge-ai/bookforge-skills/acquisition-channel-selection-scorer
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 bookforge-ai/bookforge-skills --skill acquisition-channel-selection-scorer
Clone the repo
git clone --depth 1 https://github.com/bookforge-ai/bookforge-skills

Made for: Claude Code.

Or install hacking-growth, the plugin that ships this one along with the rest of its 11 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 acquisition-channel-selection-scorer

README.md
[![agentmods](https://agentmods.dev/badge/skills/bookforge-ai/bookforge-skills/acquisition-channel-selection-scorer/github.svg)](https://agentmods.dev/skills/bookforge-ai/bookforge-skills/acquisition-channel-selection-scorer)
Your own site
<a href="https://agentmods.dev/skills/bookforge-ai/bookforge-skills/acquisition-channel-selection-scorer"><img src="https://agentmods.dev/badge/skills/bookforge-ai/bookforge-skills/acquisition-channel-selection-scorer/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 acquisition-channel-selection-scorer

Your own site · 80×15
<a href="https://agentmods.dev/skills/bookforge-ai/bookforge-skills/acquisition-channel-selection-scorer"><img src="https://agentmods.dev/badge/skills/bookforge-ai/bookforge-skills/acquisition-channel-selection-scorer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 272 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,023 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 unknown 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 $0.00272 $0.06023
Opus 5 $0.00136 $0.03011
Sonnet 5 $0.00054 $0.01205
Haiku 4.5 $0.00027 $0.00602

Measured 8d ago against content hash b8b2b700e9aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

acquisition-channel-selection-scorer 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.

books/hacking-growth/skills/acquisition-channel-selection-scorer/SKILL.md · 519 lines

The source is not reproduced here

Licensed CC-BY-SA-4.0

The repository is licensed CC-BY-SA-4.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 8d ago First seen · 519 lines · 272 tokens per session scan A b8b2b700e9aa

Subscribe to this mod's changes

acquisition-channel-selection-scorer is a skill published in the GitHub repository bookforge-ai/bookforge-skills (35 stars, last pushed 4mo ago), licensed CC-BY-SA-4.0. It adds 272 tokens to every session and 6,023 once invoked, about $0.0014 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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