niche-signal-discovery
Discover niche first-party signals that differentiate Closed Won vs Closed Lost accounts for ICP analysis. Use when the user provides won/lost customer domain lists and wants differential signals (website content, job listings, tech stack, maturity markers) to build account scoring models and prospecting criteria. Triggers: ICP analysis, niche signals, won vs lost analysis, differential signals, signal discovery, ICP signal report, account scoring signals, lead scoring, first-party signals, buyer signals. Before reading this file, first read deepline-gtm to understand the Deepline CLI tool and how to use it. Then read this file for guidance on the task.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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
In Step 2 (and Step 7 when `--contacts` is enabled), the workflow uses Deepline enrichment to ingest outsider-authored free text from external web/job/people sources into runtime CSV/JSON fields (e.g., Firecrawl-scraped `text`/URLs and CrustData/Exa result titles/descriptions) and then `scripts/analyze_signals.py` parses those `website`/`jobs` fields to extract keyword matches and evidence quotes.
- Repository
- getaero-io/gtm-eng-skills
- Commit
869569c
- Audited
- Security analysis
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