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Post tweets, replies, and quotes to X/Twitter using the official API v2. Use this instead of bird for posting. Uses API credits so only post when explicitly asked or scheduled.
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Review the instructions the agent will receive before you install.
Post to X/Twitter using the official API v2. This tool uses API credits (limited to 1,500 posts/month on the Free tier), so only use it when the user explicitly asks you to post, or during scheduled cron tasks. Do not speculatively draft and post tweets.
For reading tweets, searching, and browsing timelines, use bird instead (no credit cost).
npm install -g github:0xmythril/tweet-cli#v1.0.0
mkdir -p ~/.config/tweet-cli
touch ~/.config/tweet-cli/.env
chmod 600 ~/.config/tweet-cli/.env
cat > ~/.config/tweet-cli/.env << 'EOF'
X_API_KEY=your_consumer_key
X_API_SECRET=your_secret_key
X_ACCESS_TOKEN=your_access_token
X_ACCESS_TOKEN_SECRET=your_access_token_secret
EOF
tweet-cli whoami~/.config/tweet-cli/.env (read by dotenv at runtime). Set chmod 600 to restrict access.npm pack --dry-run or inspect package.json.api.x.com) when you run a command.twitter-api-v2 (official X API client), commander (CLI parsing), dotenv (env file loading). No transitive dependencies.tweet-cli whoami
tweet-cli post "Your tweet text here"
tweet-cli reply <tweet-id-or-url> "Your reply text"
tweet-cli reply https://x.com/user/status/123456 "Your reply text"
tweet-cli quote <tweet-id-or-url> "Your commentary"
tweet-cli quote https://x.com/user/status/123456 "Your commentary"
tweet-cli delete <tweet-id-or-url>
bird (not tweet-cli).No reviews yet. Tell others what you thought.
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Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
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Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.
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Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.
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Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.
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Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.
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Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.
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