Web Searcher

Autonomous web research agent that performs multi-step searches, follows links, extracts data, and synthesizes findings into structured reports. Use when asked to research a topic, find information across multiple sources, compare options, gather market data, compile lists, or answer questions requiring deep web investigation beyond a single search.

This skill appears to do what it promises: autonomous web searches, selective page fetches, cross-referencing, and synthesis. Before installing, consider: (1) It will fetch public pages (news, LinkedIn, company sites) and include URLs in outputs—avoid asking it to harvest private or authenticated content or supply credentials. (2) Scraping some sites (LinkedIn, paywalled content) may violate terms of service or require authentication; expect missed results for such sources. (3) Outputs are synthesized summaries — verify important claims against the cited source URLs. If you need stricter controls, only invoke this skill manually (it is user-invocable by default) and avoid granting any separate credentials or private tokens to it.

Type: OpenClaw Skill Name: web-searcher Version: 1.0.0 The skill is classified as suspicious due to a vulnerability in `scripts/research_plan.py`. The script directly uses command-line arguments (`sys.argv`) to construct search queries without any sanitization. While the script itself only generates strings and does not execute shell commands, this lack of input sanitization could lead to injection vulnerabilities if the generated search queries are subsequently passed to a `web_search` tool or an agent execution environment that is susceptible to injection via arbitrary query strings.