Skylv Web Automation Bot
PassAudited by ClawScan on May 10, 2026.
Overview
This is an instruction-only browser automation skill whose broad clicking, typing, scraping, and screenshot abilities match its stated purpose, but users should supervise sensitive or irreversible web actions.
This skill appears coherent for browser automation and does not include runnable code or hidden install behavior in the provided artifacts. Before using it, verify any external automation libraries you install, keep tasks narrowly scoped, and supervise actions involving logins, forms, payments, account changes, or private page content.
Findings (2)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
If used carelessly, the agent could click buttons, fill forms, or capture page content on websites the user did not intend to affect.
The skill describes AI-planned browser actions that can navigate pages, click UI elements, enter text, save screenshots, and extract page content. This is expected for a browser automation skill, but it is broad enough to warrant user supervision.
for step in steps:\n self.execute_step(page, step) ... elif action == "goto" ... elif action == "click" ... elif action == "type" ... elif action == "screenshot" ... elif action == "extract"
Use it only for clearly specified websites and tasks, and require human confirmation before submitting forms, making purchases, deleting data, posting content, or taking other irreversible actions.
Users may need to trust and install external tooling such as Playwright or Puppeteer outside this package.
The package does not include executable code or an install script, which limits immediate supply-chain risk, but its provenance metadata is limited and the user would need to separately obtain any browser automation libraries.
Source: unknown; Homepage: none; No install spec — this is an instruction-only skill.
Verify the repository and any third-party packages before implementing the examples, and prefer pinned, well-reviewed dependencies.
