Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add fzfclee/consulting-skills --skill customer-success-health-scoregit clone --depth 1 https://github.com/fzfclee/consulting-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fzfclee/consulting-skills/customer-success-health-score)<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/customer-success-health-score"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/customer-success-health-score/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/customer-success-health-score"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/customer-success-health-score.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.00774 |
| Opus 5 | $0.00026 | $0.00387 |
| Sonnet 5 | $0.00011 | $0.00155 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
customer-success-health-score scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Customer Success Health Score
Use this skill to run Customer Success Health Score as a practical consulting method, not as a generic framework explanation.
Method Notes
- Define healthy before scoring.
- Use adoption, realized value, relationship, support, commercial, and risk signals.
Required Inputs
Collect or infer these inputs before execution:
- customer or account list
- usage/adoption signals
- value realization evidence
- relationship and support data
If an input is missing, do not block automatically. Mark it as missing, state the assumption used, and add a validation action.
When Not To Use
Do not use before customer outcomes, adoption signals, relationship signals, renewal risk, and data quality are defined. One aggregate score must not hide a critical failure condition.
Adjacent Methods
metrics-tree: design causal drivers and guardrails before building a score.user-journey-mapping: diagnose where experience friction creates the risk signal.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|---|---|---|
| Define health outcome | Retention, expansion, value realization, satisfaction objective. | State what healthy means for customer and business. | Health definition. |
| Select signal categories | Adoption, value, relationship, support, commercial, risk data. | Choose signals that predict health in this context. | Signal model. |
| Set weights and thresholds | Signal model, historical evidence, expert judgment. | Assign weights, green/yellow/red thresholds, and missing-data rules. | Health scoring rubric. |
| Score accounts | Customer/account data. | Calculate health tier and explain drivers. | Health score table. |
| Assign interventions | Health tier, owner capacity, account value. | Define save, nurture, expand, or monitor actions. | CS intervention plan. |
Output Template
### 1. Health Definition
Desired customer outcome:
Risk event:
Prediction window:
Population:
### 2. Signals And Weights
| Signal | Definition | Source | Weight | Threshold | Lag / leading |
|---|---|---|---|---|---|
| | | | | | |
### 3. Customer Scores
| Customer | Score | Tier | Evidence gap | Primary risk |
|---|---|---|---|---|
| | | | | |
### 4. Intervention Rules
| Tier / trigger | Action | Owner | Timing | Recovery signal |
|---|---|---|---|---|
| | | | | |
### Evidence And Next Decision
- Confirmed facts:
- Assumptions:
- Missing evidence:
- Next action, owner, and timing:
- Expected signal and decision threshold:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 86 lines · 53 tokens per session scan A 76da2ab9d63f
customer-success-health-score is a skill published in the GitHub repository fzfclee/consulting-skills (4 stars, last pushed 24d ago), licensed Apache-2.0. It adds 53 tokens to every session and 774 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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