customer-health-score
Design, validate, and govern a composite customer health score - product usage and engagement signals...
What this skill does for you
Design, validate, and govern a composite customer health score - product usage and engagement signals combined into one weighted, normalized, decayed, banded account score that flags both churn risk and expansion readiness, backtested against real churn outcomes and recalibrated. Use whenever the user mentions a customer health score, health scoring model, account health, signal weighting, score bands, at-risk account flagging, churn risk score, expansion risk, or says "green accounts keep churning" - even if they never say "health score". Covers B2B account-level rollup and B2C/PLG continuous scoring. Do NOT use for discovering which indicators actually predict churn - use mbfinotti/revops-skills@customer-churn-signals instead.
Quoted from the skill description in the pinned sourceWho made it
Use it with Edge
Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the customer-health-score skill from mbfinotti/revops-skills.
Paste it into Claude, ChatGPT, Codex or Cursor.
Or read the skill source first.
Security evidence
| Scanner | Date | Result | Findings |
|---|---|---|---|
| Edge static checks | 2026-09-27 | Pass | 0 |
| Cisco skill-scanner | 2026-09-27 | Pass | 0 |
| Semgrep Edge rules | 2026-09-27 | Pass | 0 |
Static scans check the code, not how well the skill works.
Scanner scope, raw findings and mirrored provider records
Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca. Raw findings: . Counted findings: .
Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca. Raw findings: . Counted findings: .
Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca. Raw findings: . Counted findings: .
Source and licence
- Repository
- https://github.com/mbfinotti/revops-skills
- Pinned skill file
- View source at revision
- Revision
- 2dedb3934ca74a1572d70e2a3ce8b96d2cbde1ca
- Package hash
- sha256:b13c9c823f1cd6f24c489b152389febf65a9821dbd28ed457b66b8e3edc08aae
- Licence
- MIT