| name | evergreen-relationship-health |
| description | Scores and surfaces relationship health across your Evergreen CRM contacts — identifies thriving relationships, ones at risk, and dormant connections needing attention. Use when you want a high-level view of your network health or need to prioritize relationship investment. |
Relationship Health Check
Works with Evergreen, a local-first personal CRM for macOS. Get it on the Mac App Store.
When to Use
- Monthly network review: "How healthy is my network?"
- When deciding where to invest relationship energy
- Before planning outreach for the week
- When feeling like you're losing touch with your network
How It Works
- Call
get_relationship_strength_statistics for the network summary, including the average score and contact count by grade
- Call
get_relationship_strengths with the Weak grade filter and limit: 100, then repeat with the Dormant grade filter, to build the ranked needs-attention list without scanning every contact
- For the handful of contacts included in the report, use
get_contact and get_contact_interactions to explain why the relationship needs attention and suggest a specific action
- Analyze the global network with
get_global_network for cluster and relationship patterns
- For a single-contact health check, call
get_relationship_strength and supplement it with contact details and interactions as needed
Health Scoring
Evergreen calculates relationship strength scores from 0–100 based on recency,
frequency, depth, and variety of interactions. Use the score returned by the
relationship-strength tools rather than calculating or weighting these factors
in the skill.
Health Grades
| Grade | Score | Action |
|---|
| Strong | 80–100 | Maintain current pace |
| Good | 60–79 | No action needed |
| Moderate | 40–59 | Consider a check-in |
| Weak | 20–39 | Prioritize outreach this week |
| Dormant | 0–19 | Re-engagement needed |
Example Output
## Network Health Report — April 2026
### Summary
- **Total active contacts:** 127
- **Strong:** 12 (9%)
- **Good:** 34 (27%)
- **Moderate:** 28 (22%)
- **Weak:** 18 (14%)
- **Dormant:** 35 (28%)
### Needs Attention (Top 5 Weak or Dormant)
1. **Marcus Webb** (Founder, DataFlow) — Weak, score 38.
Was very active (4 interactions in Q1). Partnership proposal pending.
2. **Lisa Park** (VP Product, Meridian) — Weak, score 35. Procurement
discussion stalled. You owe security questionnaire.
3. **David Kim** (DataTech) — Weak, score 32. Key introducer in your network
(introduced 4 contacts). Worth maintaining.
4. **Rachel Torres** (Angel investor) — Dormant, score 18. Offered to help with
hiring, never followed up.
5. **Tom Bradley** (Advisor) — Dormant, score 15. Quarterly coffee overdue.
### Network Insights
- Your most active cluster: Atlanta AI community (23 contacts, avg 18 days between interactions)
- Weakest cluster: College network (15 contacts, avg 140 days between interactions)
- Top introducer going dormant: David Kim — maintain this relationship
- You have 8 contacts with pending actions older than 2 weeks
Checklist
Relationship Health:
- [ ] Relationship strength statistics summarized
- [ ] Strong, Good, Moderate, Weak, and Dormant grades reported
- [ ] Weak and Dormant relationships prioritized by value
- [ ] Specific action suggested for each Weak or Dormant contact
- [ ] Network-level insights provided (clusters, trends)
- [ ] Pending stale actions flagged
Learn More
