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Twitter Listen Comment

作者 yugulugulu · GitHub ↗ · v0.1.2 · MIT-0
cross-platform ⚠ suspicious
366
总下载
0
收藏
0
当前安装
3
版本数
在 OpenClaw 中安装
/install twitter-listen-comment
功能描述
Set up the skill as a reusable local automation package.
安全使用建议
Before installing or running this skill: (1) recognize that the skill needs a Twitter bearer token (TWITTER_TOKEN) even though the registry metadata omitted it — do not provide your primary/high-privilege token; prefer a limited-scope or throwaway account. (2) The skill sends tweet text to https://ai.6551.io and to the OpenClaw agent CLI to generate/post replies — confirm you trust that service and understand where your data may be routed. (3) The skill requires a logged-in Chrome session and the OpenClaw Chrome Relay to post comments — this allows the skill to drive your browser while logged in, so run it only on systems/accounts you control. (4) Inspect references/config.json to ensure notifyTarget/agentTarget are set correctly (to a safe chat or account) and consider running initially with --once and in a sandbox or container. (5) If you need higher assurance, ask the publisher to correct the registry metadata to declare required env vars and review the ai.6551.io privacy/trust posture.
功能分析
Type: OpenClaw Skill Name: twitter-listen-comment Version: 0.1.2 The skill is classified as suspicious due to a significant indirect prompt injection vulnerability in `scripts/twitter_listen_comment.py`, where unsanitized tweet content is directly embedded into prompts sent to the OpenClaw agent. This could allow a malicious tweet to hijack the agent's browser session and perform unauthorized actions. Additionally, the skill requires a `TWITTER_TOKEN` to be sent to a third-party, non-official API endpoint (`https://ai.6551.io/open/twitter_search`), which introduces a risk of credential exposure. While these behaviors are functional for the stated purpose of Twitter automation, the lack of input sanitization and reliance on external third-party infrastructure pose meaningful security risks.
能力评估
Purpose & Capability
The name/description (monitor Twitter/X, generate replies, post via browser) match the included scripts and SKILL.md. However the registry metadata claims no required env vars while the README/SKILL.md and the code clearly require TWITTER_TOKEN (and optionally OPENCLAW_BIN and TWITTER_LISTEN_COMMENT_DATA_DIR). This metadata omission is an incoherence.
Instruction Scope
The SKILL.md instructions are specific: load config, require TWITTER_TOKEN, run the Python script or run.sh, keep Chrome logged in and Chrome Relay attached, and ensure openclaw CLI is available. The code follows those instructions and confines file I/O to a skill-local data directory (state.json, run.log). Behavior (poll users, generate reply via openclaw agent, send notices, post via browser tool) matches the documented scope.
Install Mechanism
There is no install spec (instruction-only with bundled scripts). Nothing is downloaded or installed automatically by the skill, so there is low installer risk. The included code will be executed locally when you run it.
Credentials
The skill requires a Twitter API bearer token (TWITTER_TOKEN) and invokes external services: POSTs to https://ai.6551.io/open/twitter_search and calls the local openclaw CLI which itself may perform network actions. The registry metadata failing to declare TWITTER_TOKEN (and optional envs) is a mismatch that reduces transparency. Sending tweet content to third-party services is functionally necessary here but increases data-exposure risk — ensure you trust those endpoints and the scope of the token you provide.
Persistence & Privilege
The skill does not request always: true and does not modify other skills or global agent settings. It writes state and logs under its own data directory only. Autonomous invocation is allowed by default but that is platform normal.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install twitter-listen-comment
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /twitter-listen-comment 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.2
Retry publish after repo cleanup and packaging validation.
v0.1.1
Clean repo artifacts, add distributable skill structure, config template, and README.
v0.1.0
Initial release: monitor X usernames via 6551, generate humorous replies with OpenClaw agent, submit comments via logged-in Chrome session, and send detection/submission notifications.
元数据
Slug twitter-listen-comment
版本 0.1.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 3
常见问题

Twitter Listen Comment 是什么?

Set up the skill as a reusable local automation package. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 366 次。

如何安装 Twitter Listen Comment?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install twitter-listen-comment」即可一键安装,无需额外配置。

Twitter Listen Comment 是免费的吗?

是的,Twitter Listen Comment 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Twitter Listen Comment 支持哪些平台?

Twitter Listen Comment 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Twitter Listen Comment?

由 yugulugulu(@yugulugulu)开发并维护,当前版本 v0.1.2。

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