response-analysis SKILL.md skillA

response-analysis from birdsigh/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add birdsigh/skills/response-analysis@git:20260529.beb038c

Pins git:20260529.beb038c in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
birdsigh/skills
Path
response-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260529.beb038c, committed May 29, 2026
Size
7,082 bytes
Repository stars
3
License
MIT

Score user-research responses on sentiment, pain, and excitement with quote-backed evidence. Use this whenever the user wants to analyse interview answers, survey responses, support tickets, sales-call transcripts, customer feedback, or any qualitative response on the three dimensions of sentiment, pain level, and excitement about a solution. Trigger on phrases like "analyse this response", "score this interview", "how does this customer feel", "rate the pain level", "extract sentiment", or…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Response Analysis

Score qualitative responses on three dimensions, each backed by direct quotes from the source. Built for user research, customer interviews, and feedback triage where evidence-backed scoring matters more than vibes.

## Dimensions

Score each on a 1–5 scale. Definitions are deliberately concrete so scores stay consistent across runs.

**Sentiment** — overall emotional tone toward the topic being discussed.
- 1: Strongly negative (frustrated, angry, dismissive)
- 2: Mostly negative (disappointed, sceptical)
- 3: Neutral or mixed
- 4: Mostly positive (interested, satisfied)
- 5: Strongly positive (enthusiastic, delighted)

**Pain level** — intensity of the problem or friction the respondent is experiencing.
- 1: No pain mentioned, or trivial
- 2: Minor annoyance
- 3: Real problem, has workarounds
- 4: Significant pain, actively seeking relief
- 5: Severe, blocking, or recurring pain

**Excitement about solution** — how strongly the respondent reacts to a proposed solution, product, or idea.
- 1: Rejecting or dismissive
- 2: Sceptical or lukewarm
- 3: Curious but uncommitted
- 4: Genuinely interested, would try it
- 5: Enthusiastic, would adopt or pay
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add birdsigh/skills/response-analysis@sha256:b6cc488b725ad937

The line at the top of this page pins the label git:20260529.beb038c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ihi5vo7shuy2hb3b.svg)](https://markdownregistry.com/a/art_ihi5vo7shuy2hb3b)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 29, 2026.

versioncommittedcommitsizeaudit
git:20260529.beb038c latest2026-05-29 beb038c 7,082 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7082 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

birdsigh/skills · 3 stars · license MIT · pushed 2026-09-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ihi5vo7shuy2hb3b
GET https://markdownregistry.com/api/v1/resolve?ref=birdsigh/skills/response-analysis
GET https://markdownregistry.com/api/v1/blob/b6cc488b725ad9374ccea172d223614d6c581fdbe1919dadbbea811a9fed284e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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