sentiment-analysis
An agent skill by phuryn, from phuryn/pm-skills. Tags: automation, spreadsheets, trend-analysis, web.
What it does
Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. Use when analyzing user feedback at scale, running sentiment analysis on reviews or surveys, or identifying satisfaction patterns.
Install
With the skills CLI, which installs into Claude Code, Codex, Cursor and other agents:
npx skills add phuryn/pm-skills --skill sentiment-analysisOr copy the skill folder into Claude Code's skills directory by hand (~/.claude/skills for every project, or .claude/skills inside one):
git clone --depth 1 https://github.com/phuryn/pm-skills
cp -r pm-skills/pm-market-research/skills/sentiment-analysis ~/.claude/skills/sentiment-analysisSafety box score
Grade A, minimal risk: 4 of 100 risk points, rated 2026-10-19. The grade rates what the skill and its scripts can reach on the machine of whoever installs it, across eight categories from shell execution to secrets access. How the score works.
This skill is a read-and-summarize workflow for user feedback data. It does not ship code or automation, so the main consideration is the sensitivity of whatever feedback files you point it at, not machine compromise.
| Category | Level | Why |
|---|---|---|
| Code & shell execution | 0 (none) | No shell commands, scripts, or code evaluation are included; the skill is purely a markdown analysis prompt. |
| Network access | 0 (none) | It does not instruct the agent to download data or send results to remote hosts; the only URLs are optional further-reading links. |
| Filesystem reach | 1 (low) | It reads user-provided feedback sources such as CSVs, PDFs, survey responses, and review data, but only as input files in the working context. |
| Secrets & credentials | 0 (none) | It does not ask for tokens, keys, passwords, or other credential material. |
| Privilege & persistence | 0 (none) | No sudo, service installation, global configuration, or OS-level changes are requested. |
| Instruction hijack surface | 0 (none) | The text contains normal analysis guidance and no instruction to ignore policies, hide behavior, or follow remote instructions. |
| Irreversible actions | 0 (none) | It produces analysis and recommendations only; it does not send, publish, deploy, purchase, or delete anything. |
| Transparency | 0 (none) | There are no binaries, minified blobs, or decoded-at-runtime components; the entire skill is readable markdown. |
Before installing
- Confirm the feedback files you plan to analyze do not contain data you would not want summarized by an AI.
- If you do not want external browsing, ignore the two "Further Reading" links in `SKILL.md`.
- Check that the workflow stays limited to read-only analysis of provided files and does not introduce extra tools or scripts elsewhere in the repo.
Rated 2026-10-19 by an automated review of 1 file from the skill's repository.
Source
- Repository
- phuryn/pm-skills (all skills from this repository)
- Path
- pm-market-research/skills/sentiment-analysis/SKILL.md
- Branch
- main
- Updated
- 2026-09-19
Related skills
- ab-test-analysis — Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations.
- cohort-analysis — Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights.
- growth-loops — Identify growth loops (flywheels) for sustainable traction. Evaluates 5 loop types: Viral, Usage, Collaboration, User-Generated, and Referral.
- user-segmentation — Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments.
- aws-blocks — Guides building full-stack applications with AWS Blocks — an Infrastructure-from-Code framework.
- chrome-mcp-troubleshooting — Diagnose and fix Claude in Chrome MCP extension connectivity issues.