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Twitter热点监控与推文生成
by
yanghui-88
· GitHub ↗
· v1.0.0
· MIT-0
196
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1
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Install in OpenClaw
/install twitter-hot-topics
Description
每小时自动搜索推特上关于中国、加密货币、国际热点、美国热点、特朗普等话题的热度信息,提取排行前十的热点,并基于 X 平台真实算法权重(开源代码数据)为每个热点生成高曝光推文或线程。当用户提到"推特热点"、"Twitter热点"、"推特搜索"、"热点推文"、"生成推文"、"社交媒体监控"、"Twitter监控"、"...
Usage Guidance
Before installing or enabling this skill, ask the author/maintainer to clarify: 1) exactly how searches and posting will be performed — list the API endpoints or scraping tools used; 2) what credentials are required (Twitter/X API key/secret, OAuth tokens, or account tokens) and where/how those tokens are stored and protected; 3) whether the skill will automatically post or only produce drafts for manual approval; 4) how impersonation risk is handled (it explicitly mimics named bloggers — confirm it will not reproduce copyrighted text or violate platform rules); 5) remove or tone down the 'must trigger on these keywords' directive so posting requires explicit user consent; 6) provide a privacy/data-retention statement (what user data and follower interactions are logged or transmitted); and 7) run the skill only against a sandbox/test account first to validate behavior and rate limits. Do not grant account credentials or enable autonomous posting until these questions are answered and the skill declares the exact env vars and permissions it needs.
Capability Analysis
Type: OpenClaw Skill
Name: twitter-hot-topics
Version: 1.0.0
The skill bundle is a social media automation tool designed to monitor Twitter trends and generate engagement-optimized content. It provides detailed instructions in SKILL.md for searching specific topics (China, Crypto, etc.) and generating tweets based on X platform algorithm rules and specific influencer personas defined in the references/ directory. There is no evidence of data exfiltration, malicious command execution, or harmful prompt injection; the logic is entirely focused on content generation and scheduling within the OpenClaw framework.
Capability Assessment
Purpose & Capability
The description promises automated hourly monitoring of Twitter/X, extraction of top-10 topics, and automated generation and posting/replying behavior optimized to X's algorithm. Yet the skill declares no required binaries, no install, and no environment variables or credentials (no Twitter API keys/OAuth tokens). There is no explained mechanism for performing searches, collecting real-time tweets, or publishing replies — those capabilities normally require credentials or a scraping component. This is disproportionate and incoherent.
Instruction Scope
SKILL.md instructs hourly automated search across five topic buckets, generation of posting-optimized content, and explicit post-publication actions (replying to all comments, pinning replies, posting links in replies). It also contains a 'must use this skill when user mentions...' directive (broad automatic triggering). The instructions assume privileged access to an account and to live Twitter/X data but do not describe how to obtain or use that access. The required runtime actions (search, post, reply) exceed what the instruction-only bundle declares.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is written to disk by the skill package itself. That lowers installation risk but means the runtime behavior depends entirely on the agent/platform environment (e.g., whether the agent has network access or preconfigured connectors). The static scanner had no code to analyze, so dynamic behavior could still occur at runtime via external connectors.
Credentials
The skill requests zero environment variables or credentials but describes actions that require account-level access (posting, replying, pinning replies), and likely need Twitter/X API keys, OAuth tokens, or other service credentials. The absence of declared primaryEnv or required env vars is a mismatch and suggests either missing documentation or an attempt to rely on external credentials implicitly available to the agent — both are concerning.
Persistence & Privilege
always:false (default) — the skill isn't force-included platform-wide. However, SKILL.md explicitly instructs that the skill must be used whenever many keywords appear, which is effectively an aggressive trigger policy. Combined with the implied autonomous posting/replying behavior, this creates risk if the agent is allowed to act without explicit user confirmation for each publish action. The skill does not request to modify other skills or system config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install twitter-hot-topics - After installation, invoke the skill by name or use
/twitter-hot-topics - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
首次发布:5大板块TOP10热点监控 + 算法优化/博主风格双版本推文生成
Metadata
Frequently Asked Questions
What is Twitter热点监控与推文生成?
每小时自动搜索推特上关于中国、加密货币、国际热点、美国热点、特朗普等话题的热度信息,提取排行前十的热点,并基于 X 平台真实算法权重(开源代码数据)为每个热点生成高曝光推文或线程。当用户提到"推特热点"、"Twitter热点"、"推特搜索"、"热点推文"、"生成推文"、"社交媒体监控"、"Twitter监控"、"... It is an AI Agent Skill for Claude Code / OpenClaw, with 196 downloads so far.
How do I install Twitter热点监控与推文生成?
Run "/install twitter-hot-topics" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Twitter热点监控与推文生成 free?
Yes, Twitter热点监控与推文生成 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Twitter热点监控与推文生成 support?
Twitter热点监控与推文生成 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Twitter热点监控与推文生成?
It is built and maintained by yanghui-88 (@yanghui-88); the current version is v1.0.0.
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