Scientific Internet Access

What to consider before installing: - The scripts will actively fetch many public subscription URLs and then attempt TCP connections to dozens of scraped hosts/ports to measure latency. This is required for the feature but can look like port scanning to network monitors and may trigger alerts or be disallowed by your environment. - Scraped node entries often contain raw connection strings (passwords, UUIDs, server addresses). The skill stores these in ~/.openclaw/workspace/nodes_raw.json and nodes_tested.json — treat those files as sensitive and remove them if you stop using the skill. - No credentials are requested by the skill, but verify the code yourself (it is small and included). If you are not comfortable reviewing the Python, run the skill in an isolated/sandboxed environment (VM/container) with restricted outbound network egress first. - If you proceed: consider setting MAX_TEST_NODES to a small number (via env var) to limit how many hosts are probed, and/or change OPENCLAW_WORKSPACE to a sandbox path. Inspect the SOURCES list in scraper.py to confirm you accept the GitHub sources it will fetch from. - Legal/regulatory note: bypassing network censorship or using third-party proxy nodes may be illegal or against local policy in some jurisdictions — check applicable laws and your organization’s policies before using the skill. If you want, I can (1) walk through the code line-by-line and flag any specific lines of concern, (2) suggest a minimal set of env vars to limit scanning, or (3) produce a sanitized version that omits writing raw credentials to disk.