How do I install the Twitter Listen Comment skill?

Run npx skillmds@latest add dvcrn/twitter-listen-comment in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Twitter Listen Comment safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Twitter Listen Comment?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Twitter Listen Comment free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Twitter Listen Comment?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Twitter Listen Comment by dvcrn — Agent Skill

Name: Twitter Listen Comment
Rating: 4.5 (4 reviews)
Author: dvcrn

Twitter Listen Comment

Monitor one or more Twitter/X usernames via the 6551 API, generate a short humorous reply with `openclaw agent --json`, and submit the reply through an already logged-in Chrome X session. Use when creating or operating a reusable Twitter auto-listen-and-comment workflow, especially when you need: (1) watchlist-based polling, (2) 6551 tweet detection, (3) OpenClaw-generated reply text, (4) browser-driven commenting, or (5) notification messages for detected tweets and submitted comments.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Set up the skill as a reusable local automation package.

Files

Main script: scripts/twitter_listen_comment.py
Start script: scripts/run.sh
Config template: references/config.example.json
Config notes: references/config.md

Prepare config

Read references/config.md and create references/config.json from references/config.example.json before running.

Run

Use one of these:

python3 scripts/twitter_listen_comment.py --config references/config.json --once

sh scripts/run.sh references/config.json

Requirements

Export TWITTER_TOKEN
Ensure openclaw CLI is available in PATH, or set OPENCLAW_BIN
Keep Chrome logged into X
Keep the OpenClaw Chrome Relay attached on the tab when browser automation is required

Behavior

Poll watched usernames on an interval
Ignore tweets older than maxTweetAgeSeconds
Send a notice when a new eligible tweet is detected
Generate a reply with openclaw agent --json
Submit the comment with openclaw agent --json
Send a second notice when comment submission succeeds
Mark the tweet as processed only after submission succeeds

Limits

Success means comment submission succeeded, not deep post-verification
Browser automation depends on Chrome Relay availability and X page state
Notices route to the configured notifyChannel / notifyTarget

Frequently asked questions