Skill: pearl799/twitter-agent (version 1.0.1)

--- name: twitter-agent description: AI+Crypto Twitter automation agent. Post tweets, reply to KOLs, and quote tweet trending content. Integrates with opentwitter/opennews (6551) for hot topic fetching and Claude for content generation. user-invocable: true metadata: openclaw: requires: env: - TW_CONSUMER_KEY - TW_CONSUMER_SECRET - TW_ACCESS_TOKEN - TW_ACCESS_TOKEN_SECRET - TWITTER_TOKEN bins: - python3 - pip3 primaryEnv: TW_CONSUMER_KEY emoji: "🐦" install: - id: tweepy kind: pip package: tweepy label: tweepy (Twitter API client) os: - darwin - linux version: 1.0.0 --- # Twitter Agent Skill **IMPORTANT: Use the exec tool to run all commands below. Do NOT just display them.** Automates Twitter/X operations for an AI+Crypto account: post original tweets, reply to KOLs, and quote tweet trending content. ## Prerequisites You need: 1. **Twitter Developer Account** — get API keys at https://developer.x.com 2. **6551 API Token** (`TWITTER_TOKEN`) — get at https://6551.io/mcp (for hot topic fetching) When installing, OpenClaw will prompt you to fill in each env variable. ### Required env vars | Variable | Where to get | |---|---| | `TW_CONSUMER_KEY` | developer.x.com → Your App → OAuth 1.0a Keys | | `TW_CONSUMER_SECRET` | developer.x.com → Your App → OAuth 1.0a Keys | | `TW_ACCESS_TOKEN` | developer.x.com → Your App → Generate (Read+Write) | | `TW_ACCESS_TOKEN_SECRET` | developer.x.com → Your App → Generate (Read+Write) | | `TWITTER_TOKEN` | https://6551.io/mcp | > **Important**: Set your Twitter App permissions to **Read and Write** before generating the Access Token. --- ## Operations ### 1. Post a tweet ```bash python3 $SKILL_DIR/scripts/twitter_post.py --text "Your tweet text (max 280 chars)" ``` With image: ```bash python3 $SKILL_DIR/scripts/twitter_post.py --text "Tweet text" --image /path/to/image.png ``` ### 2. Reply to a tweet ```bash python3 $SKILL_DIR/scripts/twitter_reply.py --tweet_id "TWEET_ID" --text "Your reply" ``` ### 3. Quote tweet ```bash python3 $SKILL_DIR/scripts/twitter_quote.py --tweet_id "TWEET_ID" --text "Your comment" ``` --- ## Full AI+Crypto workflow ### Step 1 — Fetch trending tweets (via 6551 opentwitter) ```bash curl -s -X POST "https://ai.6551.io/open/twitter_search" \ -H "Authorization: Bearer $TWITTER_TOKEN" \ -H "Content-Type: application/json" \ -d '{"keywords": "AI crypto", "minLikes": 500, "product": "Top", "maxResults": 10}' ``` Fetch KOL tweets: ```bash curl -s -X POST "https://ai.6551.io/open/twitter_user_tweets" \ -H "Authorization: Bearer $TWITTER_TOKEN" \ -H "Content-Type: application/json" \ -d '{"username": "VitalikButerin", "maxResults": 5}' ``` ### Step 2 — Generate content (Agent handles this) Based on trending tweets, generate one of: - **Original tweet**: Insightful AI/Crypto take, ≤280 chars - **Reply**: Unique perspective, not robotic, ≤120 chars - **Quote**: One punchy line that adds value Guidelines: - Write in English (target: English-speaking Crypto/AI community) - Have a real opinion, avoid generic takes - Max 1–2 emojis ### Step 3 — Publish Call the appropriate script from Step 1 above. --- ## Output format All scripts return JSON: ```json { "success": true, "tweet_id": "1234567890", "url": "https://x.com/username/status/1234567890", "text": "Published content" } ``` --- ## Rate limit notes - Free tier: 1,500 tweets/month write limit - Recommended intervals: ≥10 min between posts, ≥5 min between replies - Avoid replying to the same account many times in a short window

path: _meta.json
content: slug: twitter-agent
version: 1.0.0

Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)