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gtm-enrichment-smart

Multi-provider waterfall lead enrichment. Takes an email (+ optional name) and returns person + company data by cross-referencing cheap APIs first, using expensive AI agents only as fallback. Cost-efficient (~$0.04-$0.10/lead) with confidence scoring and full error visibility.

56

Quality

65%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/lead-generation/capabilities/gtm-enrichment-smart/SKILL.md
SKILL.md
Quality
Evals
Security

Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

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.

Why it was flagged

SKILL.md runtime workflow sends user-supplied `{email}`/`{domain}` into third-party enrichment endpoints (Apollo/Hunter/Brand.dev/etc.) and parses the resulting free-form fields (e.g., Brand.dev description/industries, Hunter/company description) at Phase 1/4/5, so outsider-authored text from those providers can be ingested.

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Repository
gooseworks-ai/goose-skills
Audited
Security analysis
Snyk

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