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 kano-modelgit 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/kano-model)<a href="https://agentmods.dev/skills/fzfclee/consulting-skills/kano-model"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/kano-model/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/kano-model"><img src="https://agentmods.dev/badge/skills/fzfclee/consulting-skills/kano-model.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 | $0.00048 | $0.00753 |
| Opus 5 | $0.00024 | $0.00377 |
| Sonnet 5 | $0.00010 | $0.00151 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
kano-model 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 10d 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.
Kano Model
Use this skill to run Kano Model as a practical consulting method, not as a generic framework explanation.
Method Notes
- Classify features as must-be, performance, delighter, indifferent, or reverse.
- Kano categories shift over time; mark evidence age.
Required Inputs
Collect or infer these inputs before execution:
- features or service attributes
- customer segment
- satisfaction evidence
- dissatisfaction 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 context and evidence of how feature presence and absence affect satisfaction. Kano classification alone does not set roadmap priority, cost, or sequence.
Adjacent Methods
jobs-to-be-done: understand the progress the customer is trying to make.user-journey-mapping: locate attributes and pain points across a chronological experience.
Step-by-Step Execution
| Step | Required input | How to execute | Output |
|---|---|---|---|
| Define feature set | Features/service attributes and target segment. | List attributes in customer language. | Kano item list. |
| Collect satisfaction evidence | Survey/interview/VOC data for presence and absence of each item. | Capture how customers react if the attribute exists or is missing. | Functional/dysfunctional response data. |
| Classify categories | Response data. | Classify must-be, performance, delighter, indifferent, or reverse. | Kano classification. |
| Interpret investment | Categories, segment, maturity, cost. | Decide baseline requirements, performance investments, and differentiating delighters. | Feature priority implications. |
| Refresh assumptions | Evidence age and market expectations. | Mark which classifications need revalidation over time. | Kano review plan. |
Output Template
### 1. Scope And Evidence
Customer segment:
Decision:
Attributes tested:
Research basis:
### 2. Classification
| Attribute | Functional response | Dysfunctional response | Kano class | Confidence |
|---|---|---|---|---|
| | | | | |
### 3. Investment Logic
| Attribute | Current performance | Priority | Reason |
|---|---|---|---|
| | | | |
### 4. Refresh Plan
| Assumption | Validation | Owner | Timing | Reclassification 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.
- 10d ago First seen · 86 lines · 48 tokens per session scan A b26f5e02ddfb
kano-model is a skill published in the GitHub repository fzfclee/consulting-skills (4 stars, last pushed 21d ago), licensed Apache-2.0. It adds 48 tokens to every session and 753 once invoked, about $0.0002 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.
Other skills, from other repositories
taxue-calm
A problem-framing guide that turns anxiety, stress, overthinking, low energy, or emotional overwhelm into a specific practical question.
taxue-career-resume
A resume and job-description tool for comparing a person’s experience with a specific job opening. It can create a reusable master resume and tailored versions for individual applications.
taxue-industry
A three-level method for understanding an industry: a broad overview, deeper research, and business judgement. It examines the supply chain, competitors, and market structure.
taxue-solve
A thinking aid that turns a vague problem or difficult choice into a clear plan of action. It first examines what the real problem is, including whether emotions are hiding the main question.
taxue
A main entry point for a decision-support system that asks questions, clarifies what you really need, and guides you toward an action.
meme-interpreter
An internet-meme and slang interpreter that explains online jokes, expressions, images, group jargon, and references in their real social context.