Use for outbound prospecting, enrichment, qualification, CSV processing, lead/account/contact research, waterfall enrichment, email or LinkedIn lookup, personalization, scoring, and campaigns. Route CSV-heavy and provider-driven requests here; use linked sub-docs and playbooks to execute. Providers: adyntel, ai_ark, allegrow, apify, apollo, attio, aviato, bettercontact, bloomberry, builtwith, cloudflare, contactout, crustdata, crustdata-v2, customer_db, dataforseo, datagma, deepline_native, deeplineagent, discolike, dropleads, emailbison, enformion, exa, findymail, firecrawl, forager, fullenrich, generic_http, google_ads_audiences, heyreach, hubspot, hunter, icypeas, instantly, ipqs, leadmagic, lemlist, limadata, linkedin_ads_audiences, linkedin_scraper, lusha, meta_audiences, openmart, opensosdata, openwebninja, parallel, peopledatalabs, predictleads, prospeo, rocketreach, salesforce, serper, slack, smartlead, snowflake, tamradar, theirstack, trestle, upcell, wiza, wizleads, zerobounce.
70
85%
Does it follow best practices?
Impact
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No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
1 medium severity finding. 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: 0.75). Outsider free text can enter the LLM context via `deeplineagent` research steps (e.g., in `enriching-and-researching.md` “Custom enrichment with run_javascript and deeplineagent”), where the agent synthesizes over web-fetched/snippet content returned by tools like `serper_google_search`/`exa_search`/Firecrawl that originate from public pages or other users’ content.
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