What is hook-methodology?

A method for finding advertising opening lines, called hooks, directly in a research document. It covers ten hook types, such as questions, surprising statistics, and customer proof, without adding unsupported claims.

Use it to create opening lines for Meta ads and other conversion-focused campaigns. It helps turn research into different angles for stopping attention and encouraging clicks.

It reduces guesswork when writing ads by tying each proposed hook to evidence already found in the research. This helps keep campaign copy grounded in what the brand has actually said or delivered.

hook-methodology — Skill for Claude Code by DV0x/creative-ad-agent

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 DV0x/creative-ad-agent --skill hook-methodology

Clone the repo

git clone --depth 1 https://github.com/DV0x/creative-ad-agent

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/dv0x/creative-ad-agent/hook-methodology/github.svg)](https://agentmods.dev/skills/dv0x/creative-ad-agent/hook-methodology)

Your own site

<a href="https://agentmods.dev/skills/dv0x/creative-ad-agent/hook-methodology"><img src="https://agentmods.dev/badge/skills/dv0x/creative-ad-agent/hook-methodology/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/dv0x/creative-ad-agent/hook-methodology"><img src="https://agentmods.dev/badge/skills/dv0x/creative-ad-agent/hook-methodology.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,022 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. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

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.

Model	Per session	Once invoked
Fable 5.1	$0.00043	$0.03022
Opus 5.5	$0.00017	$0.01209
Sonnet 5.5	$0.00009	$0.00604
Haiku 4.5	$0.00004	$0.00302

Measured 2mo ago against content hash 8ccd130cd56d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hook-methodology 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 2mo 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.

agent/.claude/skills/hook-methodology/SKILL.md · 453 lines

How it starts

The opening of the file, as written. The whole thing — 453 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research-First Hook Methodology

Every hook must be traceable to a specific research element. No invention—only discovery.

Core Philosophy

Research first. Every hook has a SOURCE.

The best hooks aren't constructed from templates.
They're extracted from what the brand has already proven, said, or delivered.

If you can't point to where it came from in the research,
it's invention. Invention is weak. Discovery is strong.

The 10 Hook Types

Before extracting, know what you're looking for:

Attention Hooks (Stop the Scroll)

Type	Purpose	Example Pattern
Question	Challenge assumption	"What's the biggest mistake you're making?"
Surprising Stat	Unexpected number	"90% of banks reject self-employed applicants"
Pattern Interrupt	Break expectations	Unexpected statement that contradicts normal
Controversial	Challenge belief	Question something everyone accepts
Direct Address	Call out situation	"Self-employed? Bank said no?"

Desire Hooks (Drive Clicks)

Type	Purpose	Example Pattern
Social Proof	Credibility through numbers	"16,000+ Canadians switched and saved"
Problem-Solution	Name pain, offer relief	Pain statement → Solution hint
Contrast	Show gap	"[Bad thing] vs. [Better thing]"
FOMO/Urgency	Scarcity, pressure	Limited time, competitive pressure
Curiosity	Tease hidden info	"What your bank isn't telling you"

Step 1: EXTRACT (Read EVERY Section)

Read agent/files/research/{brand}_research.md

You MUST extract from EVERY section. No exceptions.

FROM: The Offer

Extract:

Core promise (what they sell)
Key numbers (rates, coverage, speed, capacity)

Example:
"AI-powered mortgage brokerage, 350+ lenders, rates from 4.19%, 24-48 hour approvals"

FROM: Key Value Props

Extract:

Each differentiator as a potential hook angle
What makes them different from competitors

Read the full file on GitHub · 453 lines

Files

What ships with it

2 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.

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.

2mo ago First seen · 453 lines · 43 tokens per session scan A 8ccd130cd56d

Subscribe to this mod's changes

hook-methodology is a skill published in the GitHub repository DV0x/creative-ad-agent (129 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 3,022 once invoked, about $0.0002 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 2026-08-30.

Marketing and SEO Writing and docs

hook-methodology next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
hook-methodologyDV0x/creative-ad-agent	Skill	129	2mo ago	MIT	A	43	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
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next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code