churn-risk
churn-risk is an Account health & churn prevention skill for AI agents, published by indranilbanerjee in the digital-marketing-pro repository on GitHub. Skillspace rates churn-risk D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Score customer segments for churn risk from behavioral signals — email engagement decline, purchase recency, usage drops, support sentiment — producing a 0-100 risk scorecard with four tiers, per-tier intervention playbooks (actions, timing windows, channels, messaging), LTV-at-risk totals, and retention-ROI prioritization. Assesses and recommends; it does not send outreach or launch campaigns. Triggers on \"/digital-marketing-pro:churn-risk\", \"which customers are about to churn\", \"score our segments for churn risk\", \"email engagement is dropping, who is at risk\", \"build a retention intervention plan\". Pulls behavioral data from a connected CRM MCP (Salesforce or HubSpot) or user-provided exports, runs scripts/churn-predictor.py, and reads the brand profile for lifecycle context.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 815
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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