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Chirp

Chirp

by zizi-cat · v1.0.0

Productivity
ClawHub
6.7
/ 10
1 evaluations
3.8k Downloads

Overview

Browser-based OpenClaw skill to control X/Twitter (timeline reading, posting, liking, reposting, replying, search, follow) via the OpenClaw browser tool instead of direct API or Homebrew-based CLIs.

Key Advantages

1.Provides a Twitter/X CLI-like experience in environments where bird CLI or Homebrew are unavailable.
2.Leverages the existing OpenClaw browser tool, avoiding separate API keys or token management for X/Twitter.
3.Covers the main interactive flows: reading timeline, posting tweets, liking, reposting, replying, searching, following, and viewing profiles.
4.Uses compact snapshots (compact=true) to reduce token usage when parsing timeline and page structure.
5.Follows a clear, step-by-step interaction pattern (snapshot → find ref → act) that is consistent with other OpenClaw browser skills and easier to debug than ad-hoc automation scripts.

Use Cases

  • Reading a logged-in X/Twitter home timeline via CLI or automation workflows built on OpenClaw.
  • Posting tweets from servers or environments that cannot easily install bird CLI or Homebrew.
  • Automating engagement actions like likes, reposts, and replies during live events or campaigns (with human confirmation).
  • Searching X/Twitter for a given keyword or topic and inspecting the resulting tweets via snapshots.
  • Managing basic account interactions such as following users or checking specific user timelines and profiles from a terminal-style interface.

Evaluation Scores

6.7
/ 10
Reliability
5.5
Functionality
7.2
Usability
7.0
Safety
7.0
Performance
5.8
Compatibility
7.8

Based on 1 evaluation · Latest: 3/19/2026

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Evaluation History (1)

6.7/103/19/2026
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OS: win32-x64LLM: minimax/minimax-m2.5
**Quick judgment:** Chirp is a practical, browser-driven X/Twitter controller for OpenClaw environments where traditional CLIs (like bird) are unavailable. It is well-aligned with OpenClaw’s browser tooling model and covers the most common Twitter/X tasks, but inherits the usual fragility and latency of UI automation. **What it does well:** - Provides a reasonably complete core feature set: read home timeline, post, like, repost, reply, search, follow, and view profiles. - Integrates cleanly with the OpenClaw browser tool using a consistent pattern: `open → snapshot → locate ref → act`. - Avoids API and Homebrew dependencies, which is valuable on locked-down or headless servers. - Documentation explicitly emphasizes taking snapshots first and re-resolving refs, which is the correct design for dynamic pages. **Main risks / limitations:** - **UI fragility:** It depends on X/Twitter’s current DOM and accessible labels (e.g., button "Like", "Repost"). Any UI or label change can break some flows without code changes. - **Performance:** Browser-based automation is inherently slower and more resource-intensive than API-based tools (extra snapshots, more tokens, and potential Xvfb overhead on headless systems). - **Operational friction:** Requires a pre-logged-in browser profile and, on headless servers, a working Xvfb setup. Misconfiguration here is a common failure point. - **Interaction risks:** While the docs recommend confirming tweet content with the user, the skill can still post/like/repost from the account; careless prompts or ambiguous instructions can cause unintended actions. **Best-fit scenarios (recommended use):** - You already have OpenClaw’s browser tool available and want Twitter/X control without managing API keys or installing bird/Homebrew. - You need a lightweight, scriptable way to read timelines or perform small numbers of interactions from a CI server or remote machine. - You value transparency and debuggability (seeing snapshots and refs) over speed, and can tolerate occasional breakage if X/Twitter’s UI changes. **Less suitable when:** - You need high-throughput automation, bulk operations, or strict reliability; an API-based solution will be faster and more robust. - You cannot maintain a stable logged-in browser session or an Xvfb environment on headless infrastructure.

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