Markdown Fetcher
v1.0.0将网页内容转换为 Markdown 格式。 当需要获取网页内容并转换为可读 Markdown 时使用此 Skill。 优先级：markdown.new > defuddle.md > r.jina.ai > Scrapling
⭐ 0· 162·0 current·0 all-time
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name and description match the runtime instructions: try hosted Markdown conversion endpoints (markdown.new, defuddle.md, r.jina.ai) and, if needed, fall back to a GitHub Python scraper (Scrapling). All required actions are proportionate to converting webpages to Markdown.
Instruction Scope
SKILL.md confines the agent to fetching given URLs via specified services and (optionally) running 'pip install scrapling' and 'scrapling -u "URL"'. It does not instruct the agent to read local files, environment variables, or send data to unexpected endpoints beyond the listed services.
Install Mechanism
There is no formal install spec, but the instructions recommend 'pip install scrapling' as a last-resort. Installing a Python package is a reasonable fallback, but pip installs execute code on the host and should be treated as a moderate-risk operation—verify the package source and run it in an isolated environment if needed.
Credentials
The skill requests no environment variables, credentials, or config paths. This is appropriate for a web-to-Markdown converter that uses public endpoints or an optional local scraper.
Persistence & Privilege
The skill is instruction-only, not always-enabled, and does not request persistent system presence or modify other skills. Autonomous invocation is allowed (platform default) but is not combined with other concerning privileges.
Assessment
This skill is coherent but consider privacy and supply-chain cautions before use: any URL you convert will be fetched by the listed external services (markdown.new, defuddle.md, r.jina.ai or Scrapling), so avoid sending sensitive/private URLs or data. If you need the Scrapling fallback, inspect the Scrapling project (https://github.com/D4Vinci/Scrapling) before running 'pip install' and install it in a virtualenv or isolated environment. If you require strict confidentiality, prefer local tools you control rather than public conversion endpoints.Like a lobster shell, security has layers — review code before you run it.
latestvk977eb8vbcj7ndxfh1t3majz858331rk
License
MIT-0
Free to use, modify, and redistribute. No attribution required.