AI sales coach composite. Analyzes all available sales data — email campaigns, call recordings/transcripts, reply patterns, pipeline outcomes — to identify what the user does well, where they struggle, and how to improve. Finds patterns in top-performing emails, winning call techniques, successful objection handles, and deal progression. Produces personalized coaching recommendations based on their specific product, market, and selling style. Tool-agnostic.
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Low-risk findings worth noting
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tessl review fix ./skills/sales/composites/sales-coaching/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
In “Sales Coaching”, the required runtime workflow ingests user-configured email replies (including `reply_text`), call transcripts, and CRM deal fields from the user’s configured sources (email_tool/call_tool/crm_tool) without any “select a specific trusted item” guardrail, so outsider-authored free text contained in those inputs (e.g., prospect replies) can be read by the LLM.
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