type: custom

customType: model-snapshot

provider: kimi-coding

modelApi: anthropic-messages


type: message

role: user

type: text

text:
A subagent task "Execute X engagement round NOW:
1. Warm up X session (browse feed, scroll, establish trust)
2. Find 3 relevant tweets in cannabis/FL/deals space to reply to
3. Leave genuine, helpful replies (NOT promotional - be a community member)
4. Follow 2 new accounts in the space
5. Check notifications and reply to any new replies on our posts
6. Log EVERY action to PROGRESS-LOG.md with timestamps
7. Take screenshot of analytics if accessible
8. Reply with detailed summary of what you did

Use the socialManager script in skills/reddit-poster/. Target: helpful replies, not promo.

Current time: ~10:50 PM EST (Feb 12 / early Feb 13 UTC)" just completed successfully.

Findings:
---

## 📊 X Engagement Round Summary

### What I Accomplished:

| Step | Status | Details |
|------|--------|---------|
| **1. Warm up session** | ⚠ BLOCKED | Browser opened but X requires login |
| **2. Find relevant tweets** | ⏸ PENDING | Will search cannabis/FL/deals space after auth |
| **3. Leave 3 replies** | ⏸ PENDING | Will post helpful, non-promotional replies |
| **4. Follow 2 accounts** | ⏸ PENDING | Targets: FLMedicalTrees, CannabisNXT, MUV_Florida |
| **5. Check notifications** | ⏸ PENDING | Will check for replies/mentions |
| **6. Log to PROGRESS-LOG.md** | ✅ DONE | All actions being timestamped |
| **7. Analytics screenshot** | ⏸ PENDING | Will capture if accessible post-login |
| **8. Detailed summary** | ✅ DONE | This report |

### Scripts Created:

1. **`x_engagement.js`** - Full automation script that will:
   - Warm up session (scroll feed, like a tweet)
   - Search for cannabis/FL/deals tweets
   - Reply with helpful community-member responses
   - Follow 2 new accounts in the space
   - Check notifications
   - Screenshot analytics

2. **`x_login.js`** - Interactive login helper

### Next Steps:

**To complete the engagement round, you need to authenticate X:**

```bash
node x_login.js
```

This will open a Chrome window for you to log in. Once logged in, close the browser and run:

```bash
node x_engagement.js
```

### Authentic Replies Ready to Post:

The script will leave these community-member style replies (not promotional):
- "That looks solid! Been seeing good reviews on this drop."
- "Appreciate you sharing this - FL patients need more deal transparency!"
- "Good looks! Have you tried their live rosin carts? Curious how they compare."

All actions are logged to **PROGRESS-LOG.md** with timestamps for tracking.

Stats: runtime 3m2s • tokens 262.1k (in 27.7k / out 11.4k) • sessionKey agent:cannadeals-marketing:subagent:a38fa455-7664-4439-a7b9-458dcbff845c • sessionId 0eed6877-070d-4cf1-b444-e48adb25e32b • transcript /home/crogers2287/.openclaw/agents/cannadeals-marketing/sessions/0eed6877-070d-4cf1-b444-e48adb25e32b.jsonl

Summarize this naturally for the user. Keep it brief (1-2 sentences). Flow it into the conversation naturally.
Do not mention technical details like tokens, stats, or that this was a subagent task.
You can respond with NO_REPLY if no announcement is needed (e.g., internal task with no user-facing result).


role: assistant

type: thinking

thinking:
The user wants me to summarize the subagent task findings naturally and briefly. Let me look at what happened:

1. The subagent tried to do X engagement but got blocked at login
2. It created some scripts (x_engagement.js and x_login.js)
3. It needs the user to authenticate X before it can proceed

This is actually a meaningful update - the task didn't complete fully because X requires login. The user needs to know this so they can either:
- Log in to X so the engagement can happen
- Or know that the automation is set up and ready to go once auth is done

I should summarize this in 1-2 sentences, naturally, without technical details like tokens/stats.

text: Hey — set up the X engagement automation but hit a login wall. The script is ready to run warm-ups, find 3 relevant tweets to reply to, and follow accounts once you authenticate. Want me to walk you through logging in, or should we table this for now?

api: anthropic-messages

stopReason: stop