Turn new AI names or unstructured AI market signals into a keyword priority table. For each name it finds the generic search terms downstream of it, screens them for relevance, and checks novelty, demand size and momentum against Google Ads volume and Google Trends, ending in prioritize, watch or skip. Use when the user has new model, product or repository names (or an AI listening report, a batch of posts, a changelog) and asks which keywords to build pages or tools for. Runs the new-term-radar command line; needs an AISA_API_KEY, and a GOANYAPI_API_KEY improves it.
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Low-risk findings worth noting
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.
The skill processes unstructured market signals, listening reports, and repository READMEs provided by the user, which can contain third-party text, but the workflow is user-driven and acts upon selected inputs rather than automatically monitoring or consuming an uncurated outsider submission channel.
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.
The skill instructs cloning an arbitrary GitHub repository (`https://github.com/zhuyansen/new-term-radar`) to execute code, constituting an unverified third-party runtime dependency with weak provenance.
zhuyansen/new-term-radar
5ec2c47
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