Sentiment Analysis
Use to interpret qualitative feedback, trends, and risks across community
Install
$ agentstack add skill-gtmagents-gtm-agents-sentiment-analysis ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-gtmagents-gtm-agents-sentiment-analysis) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Community Sentiment Analysis Skill
When to Use
- Monitoring community tone during launches, incidents, or roadmap changes.
- Preparing executive updates that require member sentiment context.
- Prioritizing response or enablement efforts based on emerging themes.
Framework
- Signal Sources – forums, chat transcripts, surveys, social listening, support tickets.
- Tagging Schema – categorize by emotion, topic, product area, persona, and severity.
- Trend Analysis – track frequency over time, correlate with launches or incidents.
- Risk Scoring – define thresholds for escalation (negative volume, influencer involvement, compliance).
- Action Loop – translate findings into comms responses, content updates, or product feedback tasks.
Templates
- Sentiment tagging sheet (message → tags → severity → owner).
- Trend report layout with charts + narrative.
- Escalation matrix referencing response SLAs.
Tips
- Combine manual review with NLP dashboards to balance accuracy + scale.
- Capture representative quotes for exec storytelling.
- Pair with
measure-engagementcommand to provide recommendations alongside metrics.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: gtmagents
- Source: gtmagents/gtm-agents
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.