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-segmentationgit 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-segmentation)<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/customer-segmentation"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/customer-segmentation/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-segmentation"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/customer-segmentation.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 | $0.00780 |
| Opus 5 | $0.00026 | $0.00390 |
| Sonnet 5 | $0.00011 | $0.00156 |
| Haiku 4.5 | $0.00005 | $0.00078 |
Grade A, and why
customer-segmentation 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 9d 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 Segmentation
Use this skill to run Customer Segmentation as a practical consulting method, not as a generic framework explanation.
Method Notes
- Segment for a decision, not for taxonomy beauty.
- Use needs, behavior, value, buying context, and service cost.
Required Inputs
Collect or infer these inputs before execution:
- customer universe
- needs or behaviors
- value data
- usage or buying evidence
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 without a defined customer population and evidence of differences that change needs, economics, behavior, or treatment. Avoid segments based on convenient demographics that do not change a decision.
Adjacent Methods
jobs-to-be-done: understand progress and switching forces within a segment.empathy-map: build an evidence-based snapshot of one segment or actor.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|---|---|---|
| Define segmentation decision | Business question, offer, service, or GTM decision. | State what the segmentation must help decide. | Segmentation purpose. |
| Choose variables | Needs, behaviors, value, buying context, service cost. | Select dimensions tied to the decision. | Segmentation dimensions. |
| Create segments | Customer data, interviews, usage, purchase patterns. | Group customers with clear inclusion/exclusion rules. | Segment definitions. |
| Profile segments | Segment definitions plus value and needs data. | Describe size, value, pain, channel, willingness to pay, and support needs. | Segment profiles. |
| Prioritize actions | Profiles and strategy constraints. | Choose target, adapt, test, serve differently, or deprioritize. | Segment strategy. |
Output Template
### 1. Segmentation Purpose
Decision to support:
Population:
Available evidence:
Excluded scope:
### 2. Segment Definitions
| Segment | Defining need / behavior | Size / value evidence | Service need | Confidence |
|---|---|---|---|---|
| | | | | |
### 3. Segment Profiles
| Segment | Trigger | Desired outcome | Barrier | Best offer / channel |
|---|---|---|---|---|
| | | | | |
### 4. Action And Validation
| Segment | Action | Owner | Signal | Re-segmentation trigger |
|---|---|---|---|---|
| | | | | |
### 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.
- 9d ago First seen · 86 lines · 53 tokens per session scan A 0d738af01c6f
customer-segmentation is a skill published in the GitHub repository fzfclee/consulting-skills (4 stars, last pushed 20d ago), licensed Apache-2.0. It adds 53 tokens to every session and 780 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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