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.
79
75%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Risky
Do not use without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./analytics-skills/skills/support-feedback-prioritization/SKILL.mdSecurity
2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.
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.
Insecure credential handling detected (high risk: 0.80). 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.
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: 1.00). 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.
221ffaa
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.