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/voice

@c805268
by shingo imotasimota/agent-skills85 stars
15

Collecting user feedback via NPS surveys, review analysis, sentiment analysis, feedback classification, and insight extraction reports. Use when establishing feedback loops.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/voice

This session only. Nothing lands on disk.

referencekano-model.md

≈345 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Kano Survey Delta

Purpose: Voice instrument fidelity and interpretation contract. General Kano theory is model-known.

Instrument

Ask paired questions for the same feature:

  • Functional: how do you feel if the feature is present?
  • Dysfunctional: how do you feel if the feature is absent?

Use the canonical responses consistently: Like, Expect, Neutral, Live with, Dislike. Rewording requires re-validation; do not mix a changed instrument with canonical classification tables.

Classification Matrix

Functional \ Dysfunctional Like Expect Neutral Live with Dislike
Like Q D D D P
Expect R I I I M
Neutral R I I I M
Live with R I I I M
Dislike R R R R Q

M Must-have, P Performance, D Delighter, I Indifferent, R Reverse, Q Questionable.

Reporting Contract

  • Report counts and uncertainty per relevant segment; do not use universal sample-size cutoffs as proof of stability.
  • Keep R and Q visible and investigate wording or segment conflict.
  • Do not mix bug fixes with optional feature concepts in one interpretation.
  • State field date; Kano categories can change as expectations mature.

Route Must-have/Delighter findings to Spark, performance measurement to Pulse, Q-heavy wording to Field, and persona divergence to Echo.

Source: SKILL.md on GitHub

1 warning13d5 checks · Risk SAFE
  • Gen Agent Trust Hub13d

    The skill is designed for customer feedback analysis and follows industry-standard metrics (NPS, CSAT, CES) while prioritizing data privacy through pseudonymization. It includes security-focused logic to detect synthetic (AI-generated) feedback and bot patterns. However, like any agent that processes external user-supplied text from reviews and support tickets, it possesses an inherent surface area for indirect prompt injection.

  • Socket13d

    No alerts

  • Snyk14d

    Risk: MEDIUM · 1 issue

  • Runlayer6mo

    1/6 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at c805268. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Activeupdated 2 weeks ago

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