# Bolta.get Comments

> Fetch comments on posts to monitor conversations and identify response opportunities or policy violations

- Skill: `boltaai/bolta-get-comments` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add boltaai/bolta-get-comments`
- Raw SKILL.md: https://api.skillmd.com/api/skills/boltaai/bolta-get-comments/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-comments

---


## Goal
Fetch comments on specific posts or across recent posts to monitor conversations, identify response opportunities, and detect policy violations.

## Which Agents Use This
- **engagement** — Monitor for questions to answer, compliments to acknowledge
- **moderator** — Scan for spam, harassment, or policy violations
- **custom** — Any agent needing comment monitoring

## Hard Rules
1. MUST provide either post_id OR account_id (not neither)
2. SHOULD calculate spam_score and sentiment for each comment
3. SHOULD flag has_response to avoid duplicate replies
4. Filter options help agents prioritize (unanswered, flagged, spam_suspected)

## Steps

### 1. Validate input
- Verify post_id OR account_id provided
- Validate since timestamp if provided

### 2. Fetch comments
- If post_id: fetch comments for that post
- If account_id: fetch comments across recent posts
- Apply since filter
- Apply filter (unanswered, flagged, spam_suspected)

### 3. Analyze comments
- Calculate spam_score (0-1, low = genuine, high = spam)
- Determine sentiment (positive, neutral, negative)
- Check has_response (did we already reply?)

### 4. Return comments array
- Include comment metadata, author, content, timestamps
- Include analysis (sentiment, spam_score, has_response)

## Output
```json
{
  "success": true,
  "count": 18,
  "comments": [
    {
      "comment_id": "uuid",
      "post_id": "uuid",
      "author": "@username",
      "content": "Great post! How does this compare to X?",
      "created_at": "2026-02-20T10:30:00Z",
      "sentiment": "positive",
      "spam_score": 0.02,
      "has_response": false
    }
  ]
}
```

## Failure Handling
- If post_id and account_id both missing: return error "Provide post_id or account_id"
- If post_id not found: return error "Post not found"
- If platform API fails: return cached comments with warning

## Example Usage

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