# Bolta.get Mentions

> Fetch recent mentions, replies, and comments directed at the account for community engagement monitoring

- Skill: `boltaai/bolta-get-mentions` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add boltaai/bolta-get-mentions`
- Raw SKILL.md: https://api.skillmd.com/api/skills/boltaai/bolta-get-mentions/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: boltaai (https://skillmd.com/u/boltaai)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/boltaai/bolta-get-mentions

---


## Goal
Fetch recent mentions, replies, and comments directed at the account to monitor and respond to community interactions.

## Which Agents Use This
- **engagement** — Monitor for new mentions since last run, identify which need responses
- **moderator** — Check for complaints or urgent issues requiring human escalation
- **custom** — Any agent handling community engagement

## Hard Rules
1. MUST fetch mentions directed at the account (not general brand mentions)
2. SHOULD calculate sentiment and priority for triage
3. SHOULD flag has_response to avoid duplicate replies
4. Priority levels help agents decide what to respond to first

## Steps

### 1. Validate input
- Verify account_id exists and belongs to workspace
- Validate since timestamp if provided
- Apply limit (max 100)

### 2. Fetch mentions from platform
- Query platform API for mentions/replies/@mentions
- Filter by since timestamp
- Apply filter (all, unanswered, flagged)

### 3. Analyze mentions
- Determine sentiment (positive, neutral, negative)
- Calculate priority (normal, high, urgent) based on:
  - Sentiment (complaints = higher priority)
  - Keywords (refund, broken, help = urgent)
  - Author influence/follower count
- Check has_response

### 4. Return mentions array
- Include mention metadata, author, content, timestamps
- Include analysis (sentiment, priority, has_response)

## Output
```json
{
  "success": true,
  "count": 12,
  "mentions": [
    {
      "mention_id": "uuid",
      "author": "@username",
      "content": "Hey @brand, how do I reset my password?",
      "platform": "twitter",
      "created_at": "2026-02-20T09:15:00Z",
      "sentiment": "neutral",
      "has_response": false,
      "priority": "high"
    }
  ]
}
```

## Failure Handling
- If account_id not found: return error "Account not found"
- If platform API fails: return cached mentions with warning
- If no mentions found: return empty array with count: 0

## Example Usage

### Scenario: Engagement agent checking for new mentions
```json
{
  "account_id": "uuid",
  "since": "2026-02-20T08:00:00Z",
  "filter": "unanswered"
}
```
**Result:** Receive list of unanswered mentions since 8am for response prioritization