Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or build custom language/messaging from buyer, competitor, community, and CRM evidence. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.
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89%
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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 required workflow instructs the agent to search across monitored social and community feeds like Reddit, X/Twitter, and GitHub issues/PRs where outsiders can post free text.
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 contains instructions and code (SKILL.md, references/, scripts/) that instruct the agent to run `npm install -g deepline --registry https://code.deepline.com/api/v2/npm/` and fetch installation docs from `https://code.deepline.com/INSTALL.md`, establishing an inbound operational dependency on an unverified first-party custom registry and domain (code.deepline.com), which rates as a weak/suspicious external runtime dependency.
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