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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.

79

Quality

75%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Risky

Do not use without reviewing

Optimize this skill with Tessl

npx tessl skill review --optimize ./analytics-skills/skills/support-feedback-prioritization/SKILL.md
SKILL.md
Quality
Evals
Security

Security

2 findings — 1 high severity, 1 medium severity. You should review these findings carefully before considering using this skill.

High

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

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.

Report incorrect finding
Medium

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

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.

Repository
amplitude/builder-skills
Audited
Security analysis
Snyk

Is this your skill?

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.