Twitter Bot

Medium Risk

Automated Twitter posting and engagement

⭐ 445 stars👍 203 upvotes0

Editorial assessment

Where Twitter Bot fits

Twitter Bot is currently positioned as a social media skill for engineering teams running repository, CI, and issue workflows. Based on the available metadata, the core job to be done is straightforward: automated twitter posting and engagement.

The current description adds a practical clue about how the skill behaves in the field: schedule tweets, auto reply to mentions, track keywords, and analyze engagement metrics. full twitter api v2 support. Combined with an npm-based install path, this makes Twitter Bot easier to evaluate than pages that only list a name and external link.

Twitter Bot should be tested in a controlled environment before wider rollout. The current record points to Twitter API access and Tweet read/write as part of the operational surface, which should be reviewed during security and workflow testing.

Best fit

engineering teams running repository, CI, and issue workflows

Install surface

npx skills add twitter-bot

Source signal

Public source link available

Workflow tags

Twitter, Social media, and Automation

Adoption posture

Install command documented

Risk review

Should be tested in a controlled environment before wider rollout

Install Command

npx skills add twitter-bot

Requires OpenClaw >=2026.2.0

Best-fit workflows

Twitter Bot is best evaluated in social media environments where automated twitter posting and engagement

Shortlist it when your team is actively comparing options for twitter, social media, and automation workflows

Use a disposable workspace for the first pass so you can confirm the install flow, repository quality, and downstream permissions before broader adoption

About

Schedule tweets, auto-reply to mentions, track keywords, and analyze engagement metrics. Full Twitter API v2 support.

Rollout checklist

Review the source repository at https://github.com/openclaw/skill-twitter-bot and confirm the README, maintenance activity, and install notes are still current.

Run `npx skills add twitter-bot` in a disposable environment first so you can confirm package resolution, dependencies, and rollback steps.

Verify whether twitter api access and tweet read/write matches your security expectations and least-privilege model.

Map Twitter Bot against the rest of your stack in twitter, social media, and automation workflows so the team knows whether it is a standalone tool or a supporting utility.

Key Features

Scheduled tweet posting

Auto-reply to mentions

Keyword tracking and alerts

Engagement analytics

FAQ

What does Twitter Bot help with?

Twitter Bot is positioned as a social media skill. Based on the current summary and tags, it is most relevant for engineering teams running repository, CI, and issue workflows, especially when the workflow requires automated twitter posting and engagement.

How should I evaluate Twitter Bot before using it in production?

Start by running npx skills add twitter-bot in a disposable environment, then review the source repository, permission surface, and any workflow-specific dependencies before wider rollout.

Why does this page include editorial guidance instead of only the upstream docs?

ClawList is trying to make each skill page more useful than a bare directory listing. That means surfacing practical signals like the install surface, source link, permissions, workflow fit, and rollout considerations in one place.

Who is the best first user for Twitter Bot?

The best first evaluator is usually the operator or engineer already responsible for social media workflows, because they can verify whether Twitter Bot matches the current stack, risk tolerance, and maintenance expectations.