support-feedback-prioritization
Pull Intercom tickets and Slack support messages from the past 7 days, classify each signal, enrich with CRM data (ARR, plan, renewal), score by customer value and churn risk, and output a tiered priority report saved to Drive. Use when you need a fast, data-driven view of what support signals matter most.
62
73%
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High
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tessl review fix ./analytics-skills/skills/support-feedback-prioritization/SKILL.mdSecurity
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The skill explicitly asks to include the "raw text" of Intercom and Slack signals in the report (and does not instruct redaction), so any credentials or tokens present in user messages would be reproduced verbatim by the LLM even though service auth itself is handled externally.
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
The skill explicitly pulls user-generated content from Intercom tickets and Slack channels (see "Step 1 — Collect signals" and the MCPs required list) and requires the agent to read raw text and use it to classify, enrich, score, and decide actions, so untrusted third-party content could materially influence behavior.
- Repository
- amplitude/builder-skills
- Commit
51838c2
- Audited
- Security analysis
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