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 kennyzir/7deer_skills --skill data-scraper-intentgit clone --depth 1 https://github.com/kennyzir/7deer_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/kennyzir/7deer_skills/data-scraper-intent)<a href="https://agentmods.dev/skills/kennyzir/7deer_skills/data-scraper-intent"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/data-scraper-intent/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/kennyzir/7deer_skills/data-scraper-intent"><img src="https://agentmods.dev/badge/skills/kennyzir/7deer_skills/data-scraper-intent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00035 | $0.00406 |
| Opus 5.5 | $0.00014 | $0.00162 |
| Sonnet 5.5 | $0.00007 | $0.00081 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
data-scraper-intent 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 1mo 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.
What it actually says
Data Scraper & Intent Analyzer
This skill provides reusable patterns and prompts for two common SEO/data tasks:
- Web Data Extraction: Handling tricky scenarios like lazy-loaded images, Next.js Image components, and paginated content.
- Search Intent Classification: Using LLMs to classify keywords into actionable content categories.
Resources Included
resources/scraping_patterns.md: A guide with code snippets on how to handle common web scraping challenges using Playwright/Puppeteer.resources/intent_prompts.md: Ready-to-use LLM prompts for classifying search keywords.
Usage
1. Data Extraction Patterns
Review resources/scraping_patterns.md when you need to extract data from:
- Websites using lazy-loading for images (e.g.,
loading="lazy", IntersectionObserver). - Next.js apps using
<Image>component (srcset, blur placeholders). - Sites with infinite scroll or "Load More" buttons.
2. Intent Analysis
Copy the prompts from resources/intent_prompts.md and use them with your LLM of choice (GPT-4, DeepSeek, Claude) to classify keywords from Google Trends, SEMrush, or Ahrefs.
Example Workflow (Trend to Page)
- Input: A list of rising keywords from Google Trends.
- Step 1: Use the "Keyword Intent Classifier" prompt to categorize them.
- Step 2: For "Informational" intents, create guide pages.
- Step 3: For "Transactional" intents, create tool pages.
- Output: A prioritized list of pages to create.
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.
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.
- 1mo ago First seen · 35 lines · 35 tokens per session scan A 0b0d9d183007
data-scraper-intent is a skill published in the GitHub repository kennyzir/7deer_skills (330 stars, last pushed 26d ago), licensed MIT. It adds 35 tokens to every session and 406 once invoked, about $0.0001 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.
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