Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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 gooseworks-ai/goose-skills --skill ai-web-scraping-scrapegraphgit clone --depth 1 https://github.com/gooseworks-ai/goose-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/gooseworks-ai/goose-skills/ai-web-scraping-scrapegraph)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/ai-web-scraping-scrapegraph"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/ai-web-scraping-scrapegraph/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/gooseworks-ai/goose-skills/ai-web-scraping-scrapegraph"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/ai-web-scraping-scrapegraph.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 12 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 14 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 15 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 18 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium MCP Rug Pull · line 18 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium Data Exfiltration · line 60 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00021 | $0.03063 |
| Opus 5 | $0.00010 | $0.01532 |
| Sonnet 5 | $0.00004 | $0.00613 |
| Haiku 4.5 | $0.00002 | $0.00306 |
Grade A, and why
ai-web-scraping-scrapegraph scanned grade A with 1 finding 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 9d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ How it starts
The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ScrapeGraph AI - Intelligent Web Scraping
Setup
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Extract web content using AI with natural language prompts.
Capabilities
- Start SmartScraper: Extract content from a webpage using AI by providing a natural language prompt and a URL
- Start SearchScraper: Start a new AI-powered web search request
- Scrape: Extract raw HTML content from web pages with JavaScript rendering support
- Start SmartCrawler: Start a new web crawl request with AI extraction or markdown conversion
- Start Sitemap: Extract all URLs from a website sitemap automatically
- Start Markdownify: Convert any webpage into clean, readable Markdown format
- Get SearchScraper Status: Get the status and results of a previous search request (free)
- Get Markdownify Status: Check the status and retrieve results of a Markdownify request (free)
- Get Sitemap Status: Check the status and retrieve results of a Sitemap request (free)
- Get SmartCrawler Status: Get the status and results of a previous smartcrawl request (free)
- Get SmartScraper Status: Check the status and retrieve results of a SmartScraper request (free)
Usage
Start SmartScraper
Extract content from a webpage using AI by providing a natural language prompt and a URL.
Parameters:
- user_prompt* (string) - Natural language description of what information you want to extract from the webpage.
- website_url* (string) - The URL of the webpage you want to extract information from. You must provide exactly one of: website_url, website_html, or website_markdown.
- website_html (string) - Raw HTML content to process directly (max 2MB). Mutually exclusive with website_url and website_markdown. Useful when you already have HTML content cached or want to process modified HTML.
- headers (object) - Optional custom HTTP headers to send with the request. Useful for setting User-Agent, cookies, authentication tokens, and other request metadata. Example: {"User-Agent": "Mozilla/5.0...", "Cookie": "session=abc123"}
- output_schema (object) - Optional schema to structure the output. If provided, the AI will attempt to format the results according to this schema.
- stealth (boolean) - Enable stealth mode to bypass bot protection using advanced anti-detection techniques. Adds +4 credits to the request cost
- website_markdown (string) - Raw Markdown content to process directly (max 2MB). Mutually exclusive with website_url and website_html. Perfect for extracting structured data from Markdown documentation, README files, or any content already in Markdown format.
- total_pages (number) - Optional parameter to enable pagination and scrape multiple pages. Specify the number of pages to extract data from. Default: 1 Range: 1-100
- number_of_scrolls (number) - Optional parameter for infinite scroll pages. Specify how many times to scroll down to load more content before extraction. Default: 0 Range: 0-50
- render_heavy_js (boolean) - Optional parameter to enable enhanced JavaScript rendering for heavy JS websites (React, Vue, Angular, SPAs). Use when standard rendering doesn’t capture all content. Default: false
- mock (boolean) - Optional parameter to enable mock mode. When set to true, the request will return mock data instead of performing an actual extraction. Useful for testing and development. Default: false
- cookies (object) - Optional cookies object for authentication and session management. Useful for accessing authenticated pages or maintaining session state. Example: {"session_id": "abc123", "auth_token": "xyz789"}
- steps (array) - Optional array of interaction steps to perform on the webpage before extraction. Each step is a string describing the action to take (e.g., “click on filter button”, “wait for results to load”). Example: ["click on search button", "type query in search box", "wait for results"]
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.
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.
- 9d ago First seen · 233 lines · 21 tokens per session scan A a98d8a448278
ai-web-scraping-scrapegraph is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 21 tokens to every session and 3,063 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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