Read who a supplied list of people is — take a list of people as identifiers (emails, phones, names, addresses, inline or as a CSV) to resolve, or as already-resolved entity IDs (a roster from grouping, or a pasted entity-ID set), and render the discovered half of the read (the traits that define them against the world by lift, plus segmentation). No specified-signals section — the user gave people, not signals. The list way into audience-analyze, behind /watt:audience. Aggregates only — never individual records, never an export. Not a user command. Use when the user brings a list of people and asks who they are — "profile my customer list", "what do these people have in common", "read this roster's groups".
68
85%
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Low
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 workflow ingests user-supplied customer lists and CSV files containing identifiers such as names, emails, phones, and addresses, which constitute outsider-authored free text.
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