Prepare any webpage for clean interaction by detecting and removing disruptive overlays (cookie banners, GDPR consent, modals, popups, newsletter signups, paywalls, login walls). Uses a cached database of 300+ known CMPs (Consent-O-Matic + EasyList) combined with heuristic DOM scanning. Produces portable JS recipes for any browser tool (Playwright, CDP, cmux-browser). ALWAYS use this skill before taking screenshots, scraping content, or automating interaction on any webpage that might have overlays blocking the view or preventing interaction. Triggers on: page prep, clean page, remove overlays, dismiss cookie banner, page blocked, overlay cleanup, consent banner, prepare page, unblock page, clear popups, cookie popup.
100
100%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.90). The skill explicitly fetches public, user-maintained rule sets from raw.githubusercontent.com (see fetchConsentOMatic() and fetchEasyList() in scripts/overlay-db.js) and embeds those untrusted Consent‑O‑Matic / EasyList patterns into the injected detection/dismiss bundle that the agent runs and uses to decide clicks/removals, so external content directly influences agent actions.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Potentially malicious external URL detected (high risk: 0.80). The skill's runtime script overlay-db.js fetches pattern data from https://raw.githubusercontent.com/cavi-au/Consent-O-Matic/master/Rules.json and https://raw.githubusercontent.com/easylist/easylist/master/easylist_cookie/easylist_cookie_general_hide.txt (during the `refresh` command), and those fetched patterns are embedded into the bundled injectable JS that the agent executes to detect/dismiss overlays—so remote content fetched at runtime directly controls agent behavior and is required for operation.