Automated summary

Fetches the raw text of a web page from a URL and injects it into context so the agent can answer questions, summarize, or extract the requested information.

Strengths

Explicitly instructs the agent to address the user's specific question before giving a general summary.
Requires citing the source URL, making verification straightforward.
Handles failure paths (empty content or fetch error) by suggesting the user try another URL or check authentication.
States that fabricating content absent from the scraped text is not allowed.

Limitations

Plain HTTP fetching does not render JavaScript, so dynamic or authenticated pages may come back incomplete.
Context is capped at roughly 8000 characters, so long pages get truncated.
Requires network permission and is flagged as not cloud-safe, which restricts use in hosted environments.

When to use it

Use it when the user supplies a URL and wants a summary, a targeted answer, or data pulled from that page.

When not to use it

Avoid it for login-gated sites, heavily JavaScript-rendered pages, or when a long document must be analyzed in full.

Security analysis

Caution

Quality score85/100

The skill instructs an AI to process scraped text from user-provided URLs. It relies on a network fetch permission but does not itself contain destructive commands or exfiltration logic. The main risk is misuse of network access via malicious URLs, so it warrants caution rather than safe.

Findings

•Uses network fetching (permissions: network:fetch) which can be used to access internal or external URLs, potentially leading to SSRF or unintended data exposure.
•No explicit input validation or URL allowlisting mentioned; user-supplied URLs are fetched directly.
•cloud_safe is false, indicating awareness of potential risk in cloud environments.

How this analysis is made

Examples

Summarize an article

Fetch this page and summarize the main points: https://example.com/blog/postgres-performance

Targeted question about a page

Read this URL and tell me what pricing tiers they offer: https://example.com/pricing

Extract facts from documentation

Get content from https://example.com/api/docs and list the required authentication headers.

name: synapse.web-scrape description: "Fetch and extract readable text content from a URL, then summarise or present key information." version: "1.0.0" author: "synapse-core" triggers: ["scrape", "fetch this page", "read this url", "get content from"] model_hint: "analysis" permissions: ["network:fetch"] cloud_safe: false enabled: true entry_point: "scripts/scrape.py:scrape_url_context"

Web Scrape Skill

Name: Web Scrape
Author: Skills Guide Bot

You have been given the text content scraped from a web page. Use it to answer the user's question.

When invoked

The user has provided a URL and wants you to read, summarise, or extract information from it. The context_block in your context contains up to 8000 characters of plain text extracted from the page.

How to respond

Answer the user's actual question first — if they asked a specific question about the page, address it directly before summarising.
Summarise key information — extract the most relevant content: main topic, key facts, important quotes, tables, or lists.
Cite the source — mention the URL in your response so the user can verify.
Be concise — do not reproduce the entire scraped text verbatim. Synthesise it.
If context_block is empty or shows an error, explain that the page could not be fetched and suggest the user try a different URL or check if it requires authentication.

Notes

Some pages require JavaScript rendering or authentication — plain HTTP fetch may not capture all content. Mention this caveat if the extracted content seems incomplete.
Do not fabricate content not present in the scraped text.

From the file to a first result

The download contains exactly the content displayed on this page. This copy may differ from the latest version in the source repository.

View the source and supporting files

This download contains SKILL.md only. Any scripts, references, templates and dependencies are not included. Get the required files from the source, preserving their directory structure, before continuing.

1. Download the file

Download SKILL.md

From the root of a test project, save the file as .skill-downloads/web-scrape-mrwakfq8/SKILL.md, or use the command below. This folder is for inspecting the skill before installation.

Command for macOS/Linux or WSL: requires a POSIX shell and curl. On Windows without WSL, use the download button and create the folder manually.

mkdir -p '.skill-downloads/web-scrape-mrwakfq8' && curl --fail --show-error --location 'https://skills-guides.com/api/skills/web-scrape-mrwakfq8/download' --output '.skill-downloads/web-scrape-mrwakfq8/SKILL.md.part' && mv '.skill-downloads/web-scrape-mrwakfq8/SKILL.md.part' '.skill-downloads/web-scrape-mrwakfq8/SKILL.md'

2. Check prerequisites

Read SKILL.md before using it. If it references scripts or external services, inspect them and prepare the required access in your test environment.

No recognized prerequisites section in this file. This does not mean it is self-contained: libraries, tools and access requirements may be mentioned elsewhere in the content or source repository.

The platforms on this page are catalog indications. The paths below follow tool documentation; they do not prove this skill has been run in those tools. No minimum tool version is confirmed for this listing.

3. Load the skill

This file does not provide a usable name/description header for this native procedure. It remains available to download and inspect; use the manual method below.

Manual method or another tool: attach SKILL.md to a conversation, or open it in an agent that can read files. Include any required supporting resources. No universal folder is recognized by every tool.

4. Try a first task

Use a short, synthetic input: an API endpoint, a small document or an interface brief. In a new conversation, attach the file or give the agent its path, then adapt this request:

Read .skill-downloads/web-scrape-mrwakfq8/SKILL.md and apply its instructions to this example: [describe a test input]. Identify any missing files, dependencies or access. Produce the result requested by the skill without inventing data or running unreviewed scripts.

Expected result: output matching the skill instructions, or a precise list of missing prerequisites. A read confirmation alone does not validate a first use. If an external resource is unavailable, that path remains untested.

Related skills

Create Interactive Maps with kepler.gl

Data & AI

Create interactive map visualizations and export standalone HTML using the keplergl Python package. Use to plot geospatial data from DataFrames, GeoJSON, or CSV.

Claude CodeCursorCodexintermediateSafe 11,995

Skills Guide Bot