How do I install the WebAsk — Open Answer Analysis skill?

Run npx skillmds@latest add dmitry-molchanov/webask-open-answer-analysis in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is WebAsk — Open Answer Analysis safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with WebAsk — Open Answer Analysis?

Any agent that reads SKILL.md files can use this skill, including Claude Code, Claude.ai, Cursor, Codex, Windsurf, and 60+ others. Install it into the agent's skills directory and it loads on demand.

Is WebAsk — Open Answer Analysis free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published WebAsk — Open Answer Analysis?

Dmitry Molchanov (@dmitry-molchanov) published this skill. Their other Agent Skills are listed on their SkillMD profile.

WebAsk — Open Answer Analysis by dmitry-molchanov

Name: WebAsk — Open Answer Analysis
Author: Dmitry Molchanov

WebAsk — Open Answer Analysis

Analyses free-text answers from a WebAsk survey: finds themes, counts frequency and picks representative quotes. Use when someone asks to read the comments, understand what respondents write about, or summarise open answers. Requires the hosted WebAsk MCP server (Streamable HTTP: https://mcp.webask.io/mcp/v1) and the user’s own WebAsk account/API key. Public skill files: MIT, original publisher WebAsk; hosted service plans and limits apply. English source; Russian counterpart: https://github.com/WebAskio/webask-mcp/tree/main/skills/webask-open-answers

File contents

Analysing free-text answers

Open questions give the most valuable and the least convenient material: a hundred lines of text that appear in the report as a plain list. The job is to turn them into a few themes with numbers.

Reply to the person in the language they write in.

Collect

get_quiz_report_inputs — all text answers for one question. If several questions have text, take them one at a time: mixing answers to different questions produces mush.

To filter first, use get_quiz_report, then pull texts for the selected responses.

Analyse

Extract themes by meaning, not by wording: "waited long", "waited forty minutes" and "the queue" are one theme.
Count. How many answers per theme and what share of those who answered.
Separate the empty ones. "No", "all fine", "-" form a "no content" group: do not theme them, but do not hide them either — the size says something.
Pick quotes. One or two per theme, verbatim, the most characteristic.
Note sentiment where it is distinguishable: one theme can carry different attitudes.

How to present

Themes by descending frequency. For each: a theme name in your own words, the count, the share, one quote.

At the end: the two or three themes that recur most, which is what is worth acting on.

Honesty rules

Do not invent themes. If the answers do not group, say so.
Do not bend results to expectations. If they expected price complaints and people write about deadlines, report deadlines.
Quote verbatim, typos included: a tidied quote stops being evidence.
Do not conclude from five answers. Say the data is thin.

What not to do

Do not mix answers to different questions in one analysis.
Do not surface quotes containing personal data — strip phone numbers and names out of the quote.
Do not suggest a plan upgrade or lead to payment. If a limit is hit, state the fact and stop.

---name: webask-open-answer-analysisdescription: Analyses free-text answers from a WebAsk survey: finds themes, counts frequency and picks representative quotes. Use when someone asks to read the comments, understand what respondents write about, or summarise open answers. Requires the hosted WebAsk MCP server (Streamable HTTP: https://mcp.webask.io/mcp/v1) and the user’s own WebAsk account/API key. Public skill files: MIT, original publisher WebAsk; hosted service plans and limits apply. English source; Russian counterpart: https://github.com/WebAskio/webask-mcp/tree/main/skills/webask-open-answers---# Analysing free-text answersOpen questions give the most valuable and the least convenient material: a hundredlines of text that appear in the report as a plain list. The job is to turn theminto a few themes with numbers.Reply to the person in the language they write in.## Collect`get_quiz_report_inputs` — all text answers for one question. If several questionshave text, take them one at a time: mixing answers to different questions producesmush.To filter first, use `get_quiz_report`, then pull texts for the selected responses.## Analyse1. **Extract themes** by meaning, not by wording: "waited long", "waited forty minutes" and "the queue" are one theme.2. **Count.** How many answers per theme and what share of those who answered.3. **Separate the empty ones.** "No", "all fine", "-" form a "no content" group: do not theme them, but do not hide them either — the size says something.4. **Pick quotes.** One or two per theme, verbatim, the most characteristic.5. **Note sentiment** where it is distinguishable: one theme can carry different attitudes.## How to presentThemes by descending frequency. For each: a theme name in your own words, thecount, the share, one quote.At the end: the two or three themes that recur most, which is what is worth actingon.## Honesty rules- **Do not invent themes.** If the answers do not group, say so.- **Do not bend results to expectations.** If they expected price complaints and people write about deadlines, report deadlines.- **Quote verbatim**, typos included: a tidied quote stops being evidence.- **Do not conclude from five answers.** Say the data is thin.## What not to do- **Do not mix answers to different questions** in one analysis.- **Do not surface quotes containing personal data** — strip phone numbers and names out of the quote.- **Do not suggest a plan upgrade or lead to payment.** If a limit is hit, state the fact and stop.

Frequently asked questions