landing-page-intel-extractor

landing-page-intel-extractor is a skill for Claude Code, Codex from gooseworks-ai/gooseworks-skills. It costs 80 tokens per session (3,207 once invoked), scanned A, original, no licence file.

A tool that reads a company's landing-page HTML and extracts structured business signals. These include competitors, positioning claims, customer evidence, industries, pricing, integrations, and social information.

In plain words
What is it for?
Use it to research competitors, compare product positioning, identify proof points, and collect information about pricing and integrations.
Why use it?
It turns a landing page into organized competitive and customer information without requiring a person to inspect every part manually.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to research competitors, compare product positioning, identify proof points, and collect information about pricing and integrations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gooseworks-ai/gooseworks-skills/landing-page-intel-extractor
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 gooseworks-ai/gooseworks-skills --skill landing-page-intel-extractor
Clone the repo
git clone --depth 1 https://github.com/gooseworks-ai/gooseworks-skills

Made for: Claude Code, Codex.

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 landing-page-intel-extractor

README.md
[![agentmods](https://agentmods.dev/badge/skills/gooseworks-ai/gooseworks-skills/landing-page-intel-extractor/github.svg)](https://agentmods.dev/skills/gooseworks-ai/gooseworks-skills/landing-page-intel-extractor)
Your own site
<a href="https://agentmods.dev/skills/gooseworks-ai/gooseworks-skills/landing-page-intel-extractor"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/gooseworks-skills/landing-page-intel-extractor/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 landing-page-intel-extractor

Your own site · 80×15
<a href="https://agentmods.dev/skills/gooseworks-ai/gooseworks-skills/landing-page-intel-extractor"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/gooseworks-skills/landing-page-intel-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,207 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 $0.00080 $0.03207
Opus 5.5 $0.00032 $0.01283
Sonnet 5.5 $0.00016 $0.00641
Haiku 4.5 $0.00008 $0.00321

Measured 2mo ago against content hash b6f196e4c246, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

landing-page-intel-extractor 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.

skills/composites/landing-page-intel-extractor/SKILL.md · 377 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 2mo ago First seen · 377 lines · 80 tokens per session scan A b6f196e4c246

Subscribe to this mod's changes

landing-page-intel-extractor is a skill published in the GitHub repository gooseworks-ai/gooseworks-skills (12 stars, last pushed 7mo ago), with no licence file. It adds 80 tokens to every session and 3,207 once invoked, about $0.0003 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 2026-09-03.

Related

landing-page-intel-extractor compared with skills from other repositories

landing-page-intel-extractor next to 6 skills from other repositories
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landing-page-intel-extractorgooseworks-ai/gooseworks-skillsSkill127mo agononeA80Claude Code, Codex
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