Labels
Stop manually tagging and sorting support tickets. Scitor automatically labels every issue with sentiment, category, spam score, and priority β so your team can filter, prioritize, and automate workflows without lifting a finger.
Label categories
Sentiment labels (Pro plan)
Instantly see how a customer feels without reading the full email. Applied by AI analysis.
| Label | Meaning |
|---|---|
sentiment:positive π’ |
Customer is happy, grateful, or satisfied |
sentiment:neutral π΅ |
Neutral or informational message |
sentiment:negative π΄ |
Customer is frustrated, upset, or dissatisfied |
Category labels (Pro plan)
Know at a glance what kind of request it is, so the right person can respond.
| Label | Meaning |
|---|---|
category:bug-report π΄ |
Bug, error, or malfunction report |
category:feature-request π΅ |
Feature or enhancement request |
category:question π£ |
General question or help request |
category:account π |
Account-related inquiry |
category:billing π‘ |
Billing, payment, or subscription issue |
category:other βͺ |
Doesnβt fit other categories |
Spam labels (all plans)
Every inbound email is scored automatically, so spam never clutters your real support queue.
| Label | Score range | Meaning |
|---|---|---|
spam:clean π’ |
Below 2 | Legitimate email |
spam:low π‘ |
2 β 5 | Mild spam indicators |
spam:medium π‘ |
5 β 8 | Moderate spam indicators |
spam:high π΄ |
8 and above | Likely spam |
SLA labels (Pro plan)
Stay on top of deadlines. These labels appear automatically when response or resolution targets are at risk. See SLA Tracking for details.
| Label | Meaning |
|---|---|
sla:warning π |
80% of SLA time has elapsed |
sla:breached π΄ |
SLA target has been exceeded |
sla:paused βͺ |
SLA timer is paused |
Priority labels (Pro plan)
Route urgent issues first. Used with SLA tracking to set per-ticket response and resolution targets.
| Label | Meaning |
|---|---|
priority:urgent π΄ |
Urgent β shortest SLA targets |
priority:high π |
High priority |
priority:medium π‘ |
Medium priority (default) |
priority:low π’ |
Low priority β longest SLA targets |
Automatic label creation
Scitor creates labels automatically when theyβre first needed. If a label already exists in your repository (with a different color or description), Scitor will not overwrite it.
Labels are cached for performance, so the first email in a new repository may take slightly longer to process.
Using labels for workflows
Filter issues by priority
Use GitHubβs built-in filters to find high-priority support requests:
is:issue is:open label:sentiment:negative
is:issue is:open label:category:bug-report
is:issue is:open label:spam:clean label:sentiment:negative
Combine with GitHub Projects
Create a GitHub Project board with columns like:
- Triage β New issues without response
- Urgent β
sentiment:negative+category:bug-report - Feature requests β
category:feature-request - Billing β
category:billing
Use GitHub Projectsβ built-in automation rules to move issues based on labels.
Automate with GitHub Actions
name: Escalate negative bugs
on:
issues:
types: [labeled]
jobs:
escalate:
if: |
contains(github.event.label.name, 'sentiment:negative') &&
contains(join(github.event.issue.labels.*.name, ','), 'category:bug-report')
runs-on: ubuntu-latest
steps:
- name: Assign to senior team
uses: actions/github-script@v7
with:
script: |
await github.rest.issues.addAssignees({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.issue.number,
assignees: ['senior-dev']
})
Tip
Spam labels help you quickly identify and close spam issues. Consider setting up an automation that auto-closes issues labeled spam:high.