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 | $0.00992 |
| Opus 5.5 | $0.00019 | $0.00397 |
| Sonnet 5.5 | $0.00010 | $0.00198 |
| Haiku 4.5 | $0.00005 | $0.00099 |
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 18d 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 — 91 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.
- Pair functional (present) and dysfunctional (absent) reactions. Qualitative logic: expected presence with disliked absence suggests must-be; satisfaction with presence and dissatisfaction with absence suggests performance; liked presence with acceptable/neutral absence suggests delighter; little reaction either way suggests indifferent; disliked presence with preferred absence suggests reverse.
- State mode: qualitative evidence gives tentative categories; a standardized survey uses paired response options and a documented evaluation mapping. These qualitative cues are not a substitute for that mapping. Retain contradictory pairs, subgroup differences and ties as mixed / unclear unless a stated grouping/aggregation rule resolves them; do not force one class or a universal tie-break.
- Basis: ASQ Kano model and Society of Sensory Professionals classification and paired questionnaire.
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.
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.
- 18d ago Changed · +5 lines 9f1f88fda02e
- 1mo 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 (7 stars, last pushed 19d ago), licensed Apache-2.0. It adds 48 tokens to every session and 992 once invoked, about $0.0002 per session on Opus 5.5. 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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