Agent skill

Twitter Respond

by automateyournetwork in automateyournetwork/netclaw

Review Twitter mentions and prepare technical replies with conversation context.

Apache-2.0Auto-check: notes

Install Twitter Respond

skills CLI
$ npx skills add automateyournetwork/netclaw --skill twitter-respond -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install automateyournetwork/netclaw twitter-respond --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/automateyournetwork/netclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workspace/skills/twitter-respond .claude/skills/twitter-respond && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
twitter-respond
GitHub stars
676
Token cost
~1.2k tokens
SKILL.md length
354 words
Files
1
Skills in repo
120
Repo updated
First seen
Licence
Apache-2.0

At a glance

Review Twitter mentions and prepare technical replies with conversation context.

  • Works in 5 steps: Mention Detection - Poll for @mentions… → Reply Generation - Create context-aware,… → Reply Posting - Post approved replies as… → …
  • Mention-response workflows
  • SKILL.md covers Overview, Capabilities, MCP Tools and Mention Categories, plus 8 more sections
  • Reaches twitter.com; needs TWITTER_API_KEY and TWITTER_API_SECRET

What it does

Twitter Respond is an agent skill from automateyournetwork/netclaw. Review Twitter mentions and prepare technical replies with conversation context. Use for mention-response workflows; posting requires the documented human approval.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with X (Twitter). The repository describes itself as: An AI agent that claws through your network. The licence is Apache-2.0.

When your agent uses it

  • Mention-response workflows
  • Posting requires the documented human approval

Example prompts

  • “/twitter-respond”

Requirements

  • A credential in TWITTER_API_KEY
  • A credential in TWITTER_API_SECRET

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Mention Detection - Poll for @mentions and classify them
  2. Reply Generation - Create context-aware, technically accurate replies
  3. Reply Posting - Post approved replies as threads when needed
  4. Conversation Context - Retrieve thread history for better responses
  5. User Memory - Track interaction history with users

What it can do on your machine

Read from SKILL.md and the folder at commit aa90e7d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • twitter.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • TWITTER_API_KEY
    • TWITTER_API_SECRET
    • TWITTER_ACCESS_TOKEN
    • TWITTER_ACCESS_SECRET

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Twitter Respond loads about 1.2k tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 354 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:96
    Environment variables in `~/.openclaw/.env`:

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from automateyournetwork/netclaw at commit aa90e7d, republished under its Apache-2.0 licence (© automateyournetwork). 354 words, ~1,213 tokens.

Download SKILL.mdSave it as .claude/skills/twitter-respond/SKILL.md (or your agent's skills folder).
name
twitter-respond
description
Review Twitter mentions and prepare technical replies with conversation context. Use for mention-response workflows; posting requires the documented human approval.

Twitter Respond Skill

Skill ID: twitter-respond Category: Social Media / Engagement Feature: 040-twitter-mentions

Overview

Enables bidirectional Twitter interaction by monitoring @mentions of the account authenticated via TWITTER_* credentials and generating CCIE-level technical replies. All replies require human approval per Constitution Principle XIV.

Capabilities

  1. Mention Detection - Poll for @mentions and classify them
  2. Reply Generation - Create context-aware, technically accurate replies
  3. Reply Posting - Post approved replies as threads when needed
  4. Conversation Context - Retrieve thread history for better responses
  5. User Memory - Track interaction history with users

MCP Tools

This skill uses the twitter-mcp server's bidirectional tools:

ToolPurpose
twitter_get_mentionsFetch recent @mentions
twitter_classify_mentionCategorize mention intent
twitter_get_conversationGet thread context
twitter_generate_replyGenerate reply draft
twitter_reply_to_tweetPost approved reply
twitter_mark_processedMark mention as handled
twitter_get_user_historyGet user interaction history

Mention Categories

Mentions are classified into:

  • netclaw_request - Questions about NetClaw automation, diagrams, skills
  • technical_network - Networking questions (BGP, OSPF, Cisco, etc.)
  • friendly - Thanks, greetings, positive engagement
  • off_topic - Unrelated to networking/NetClaw
  • spam - Bot accounts, crypto/NFT spam

Workflow

1. Check Mentions     → twitter_get_mentions
2. Classify Intent    → twitter_classify_mention
3. Get Context        → twitter_get_conversation (if thread)
4. Get User History   → twitter_get_user_history
5. Generate Reply     → twitter_generate_reply
6. Human Reviews      → [Approval Required]
7. Post Reply         → twitter_reply_to_tweet (approved=true)
8. Mark Processed     → twitter_mark_processed

Example Interaction

User: "Check my Twitter mentions"

NetClaw: Found 3 new mentions:

1. @alice_neteng: "@your_handle what's the best way to debug BGP peering?"
   Category: technical_network

2. @random_user: "@your_handle check out this crypto deal!"
   Category: spam (skipping)

3. @cisco_fan: "@your_handle can NetClaw generate topology diagrams?"
   Category: netclaw_request

User: "Reply to the BGP question"

NetClaw: Here's my suggested reply:

"@alice_neteng Start with: 1) show ip bgp summary - check state
2) show ip bgp neighbors - verify open/sent/rcvd messages
3) debug ip bgp events - watch notifications

Common issues: AS mismatch, source IP, eBGP multihop. #netclaw"

Post this reply? [Yes/No/Edit]

User: "Yes"

NetClaw: Reply posted: https://twitter.com/i/web/status/123456789

Configuration

Environment variables in ~/.openclaw/.env:

bash
# Required (from feature 039)
TWITTER_API_KEY=your_consumer_key
TWITTER_API_SECRET=your_consumer_secret
TWITTER_ACCESS_TOKEN=your_access_token
TWITTER_ACCESS_SECRET=your_access_secret

# Optional mention polling
TWITTER_MENTION_POLL_INTERVAL=300  # Check every 5 minutes

Human Approval Requirement

Per Constitution Principle XIV (Human-in-the-Loop for External Communications):

  • All replies are generated as drafts first
  • Human must explicitly approve before posting
  • approved=true parameter required for twitter_reply_to_tweet
  • Audit log tracks all posted replies
Show full SKILL.md (149 more words)Show less

Cost Estimates

Using pay-as-you-go Twitter API tier:

ActionCost
Check mentions~$0.01
Get conversation~$0.01
Post reply~$0.01
Full interaction~$0.03-0.05

With $5 credit, expect ~100-150 interactions.

Spam Detection

Heuristics to filter spam accounts:

  • Account created within 7 days
  • Following/followers ratio > 100:1
  • Username contains 8+ digits
  • Known spam patterns (crypto, giveaway, airdrop)
  • twitter-heartbeat - Autonomous posting (feature 039)
  • twitter-share - Share NetClaw outputs to Twitter (feature 039)

Failure Behavior

  • On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
  • For a confirmed read-only call, check connectivity and retry once if appropriate. For any call that changes state or sends a message, a timeout does not prove the action failed: inspect current state or delivery status before retrying, preserve the required approval/change gates, and do not repeat an action whose outcome is unknown.

© automateyournetwork, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in workspace/skills/twitter-respond of automateyournetwork/netclaw.

Open the folder on GitHubat commit aa90e7d

Compare with similar skills

Twitter Respond next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Twitter Respond compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Twitter Respond this skillautomateyournetwork/netclaw676—~1.2kAutomated safety check: NotesApache-2.0
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Banner Design Systemnextlevelbuilder/ui-ux-pro-max-skill134k1 repos~1.8kAutomated safety check: PassMIT
Agent ReachPanniantong/Agent-Reach95k—~1.4kAutomated safety check: PassMIT
X to Markdown ConverterJimLiu/baoyu-skills27k4 repos~1.8kAutomated safety check: WarnMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone

Similar skills

  • Social

    coreyhaines31/marketingskills

    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, or Facebook, or wants to do social listening and engagement triage.

    54k GitHub starsUsed in 4 repos~4.5k tokens
    Writing & ContentAuto-check passed
  • Banner Design System

    nextlevelbuilder/ui-ux-pro-max-skill

    Walks through designing a banner for social media, ads, a website hero or print, from gathering requirements to building 2 or 3 art-direction options in HTML and CSS.

    134k GitHub starsUsed in 1 repo~1.8k tokens
    Frontend & DesignAuto-check passed
  • Agent Reach

    Panniantong/Agent-Reach

    Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.

    95k GitHub stars~1.4k tokensUpdated 2 days ago
    Productivity & AutomationAuto-check passed
  • X to Markdown Converter

    JimLiu/baoyu-skills

    Saves tweets, threads and X Articles as Markdown files with YAML front matter, using an unofficial API that asks for your consent first.

    27k GitHub starsUsed in 4 repos~1.8k tokens
    Knowledge ManagementAuto-check: warnings
  • Social Content

    freekmurze/dotfiles

    When the user wants help creating, scheduling, or optimizing social media content for LinkedIn, Twitter/X, Instagram, TikTok, Facebook, or other platforms.

    1k GitHub starsUsed in 23 repos~2.1k tokens
    Writing & ContentAuto-check passed
  • X Article Publisher

    wshuyi/x-article-publisher-skill

    Publish Markdown articles to X (Twitter) Articles editor with proper formatting.

    872 GitHub starsUsed in 2 repos~3.6k tokens
    Documents & OfficeAuto-check passed

More from automateyournetwork/netclaw

All 120 skills in this repo
  • EVE-NG Lab Topology Design

    automateyournetwork/netclaw

    Entry point for designing EVE-NG network labs: classifies the request, gathers missing requirements, proposes options and validates the resulting topology.

    676 GitHub stars~612 tokensUpdated today
    Auto-check passed
  • ACI Policy Change Deployment

    automateyournetwork/netclaw

    Deploys Cisco ACI policy changes only behind an approved ServiceNow Change Request, capturing pre and post-change fault baselines and rolling back automatically on a fault delta.

    676 GitHub stars~4.2k tokensUpdated today
    Auto-check passed
  • Cisco ACI Fabric Health Audit

    automateyournetwork/netclaw

    Runs a phased health audit of a Cisco ACI fabric through MCP tools: node status, links, tenant and policy review, faults and endpoint learning.

    676 GitHub stars~2.9k tokensUpdated today
    Auto-check passed
  • Anta Validation

    automateyournetwork/netclaw

    Validate Arista EOS network state against ANTA's pre-built 208-test catalogue, with structured pass/fail verdicts.

    676 GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Arista Cvp

    automateyournetwork/netclaw

    Arista CloudVision Portal (CVP) automation via REST API — device inventory, events, connectivity monitoring, tag management (4 tools).

    676 GitHub stars~2.2k tokensUpdated today
    Auto-check: notes
  • AWS Cloud Monitoring

    automateyournetwork/netclaw

    AWS CloudWatch monitoring — metrics, alarms, log queries, VPC flow log analysis, network performance.

    676 GitHub stars~1k tokensUpdated today
    Auto-check passed

Works with

Questions about Twitter Respond

What does Twitter Respond do?

Review Twitter mentions and prepare technical replies with conversation context. Twitter Respond is an agent skill from automateyournetwork/netclaw. Review Twitter mentions and prepare technical replies with conversation context.

When should I use Twitter Respond?

Twitter Respond fits situations like: mention-response workflows; posting requires the documented human approval.

How do I install Twitter Respond in Claude Code?

Run `npx skills add automateyournetwork/netclaw --skill twitter-respond -a claude-code`. Or copy the skill folder (workspace/skills/twitter-respond in automateyournetwork/netclaw) into .claude/skills/twitter-respond in your project. Claude Code loads it when a task matches its description.

How do I install Twitter Respond in Codex?

Run `npx skills add automateyournetwork/netclaw --skill twitter-respond -a codex`. Or copy the skill folder (workspace/skills/twitter-respond in automateyournetwork/netclaw) into .agents/skills/twitter-respond in your project. Codex loads it when a task matches its description.

Can I use Twitter Respond in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add automateyournetwork/netclaw --skill twitter-respond -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/twitter-respond, .gemini/skills/twitter-respond, .github/skills/twitter-respond and .opencode/skills/twitter-respond in your project.

What does Twitter Respond need to run?

Going by SKILL.md and its folder, Twitter Respond needs credentials named TWITTER_API_KEY, TWITTER_API_SECRET, TWITTER_ACCESS_TOKEN and TWITTER_ACCESS_SECRET. Our summary lists: A credential in TWITTER_API_KEY; A credential in TWITTER_API_SECRET.

Does Twitter Respond access the network?

SKILL.md names 1 domain. In commands or code: twitter.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Twitter Respond safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Twitter Respond use?

Twitter Respond is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Twitter Respond use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Twitter Respond?

Skills that share tags, products or a category with Twitter Respond: Social (coreyhaines31/marketingskills, 54k stars), Banner Design System (nextlevelbuilder/ui-ux-pro-max-skill, 134k stars), Agent Reach (Panniantong/Agent-Reach, 95k stars) and X to Markdown Converter (JimLiu/baoyu-skills, 27k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Twitter Respond?

automateyournetwork (a GitHub user) maintains it in automateyournetwork/netclaw, which has 676 GitHub stars. The repository holds 120 skills in this directory. The repository was last updated on October 9, 2026.

Source: automateyournetwork/netclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.