AIsa Twitter for Openclaw

Openclaw Skills-ready Twitter/X intelligence for autonomous agents that search, read, and act on social data through one API key.

bibaofeng
v1.0.0
Jul 12, 2026
0
816
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install twitter

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install twitter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is AIsa Twitter?

AIsa Twitter is an Openclaw Skills integration that gives autonomous agents structured access to Twitter/X profiles, timelines, mentions, followers, trending topics, lists, communities, Spaces, and advanced tweet search through a single API key. It is built for Openclaw Skills workflows that need reliable social intelligence without exposing account passwords.

Use it when you need to monitor influencers, run social listening queries, research competitors, or fetch conversation context around a tweet. Read operations work without login, while posting and engagement are handled through dedicated reference workflows that require browser-based OAuth authorization.

AIsa Twitter Use Cases

  • Monitor influencers and get alerts when specific accounts post about a topic.
  • Run social listening and sentiment workflows against live tweet search results.
  • Track competitor announcements, launches, and account activity for market intelligence.
  • Pull profiles, followers, followings, verified followers, and relationship checks for research.
  • Inspect replies, quotes, retweeters, and thread context to reconstruct conversations.
  • Analyze Twitter/X trends, lists, communities, and Spaces for audience or niche discovery.
  • Route publishing, replying, liking, unliking, following, and unfollowing through OAuth-backed action workflows when the task moves from research to engagement.

How AIsa Twitter Works

  1. Set your AISA_API_KEY and, if needed, configure the Twitter relay for OAuth-backed actions.
  2. Choose the correct workflow: read-only intelligence, search and research, or engagement/posting via the referenced action docs.
  3. Call the appropriate REST endpoint directly with curl or use the provided Python CLI wrappers for faster agent orchestration.
  4. Provide the required identifiers and filters, such as userName, user_id, tweetId, tweet_ids, list_id, community_id, space_id, query, queryType, or woeid.
  5. For large result sets, follow cursor-based pagination and collect the returned JSON payloads.
  6. Review usage.cost and usage.credits_remaining in each response to keep Openclaw Skills automations cost-aware.
  7. When the task requires posting or engagement, complete OAuth in the browser and use the post_twitter.md or engage_twitter.md workflow.

AIsa Twitter Setup

  1. Ensure python3 and curl are available in your environment.
  2. Sign up for an AIsa account, add credits, and copy your API key.
  3. Export the required environment variable:
export AISA_API_KEY="your-key"
  1. Optional: configure the relay used for OAuth, posting, and engagement workflows:
export TWITTER_RELAY_BASE_URL="https://api.aisa.one/apis/v1/twitter"
export TWITTER_RELAY_TIMEOUT="30"
  1. Verify the setup with a read endpoint:
curl "https://api.aisa.one/apis/v1/twitter/trends?woeid=1" \
  -H "Authorization: Bearer $AISA_API_KEY"
  1. Use the Python client for common Openclaw Skills tasks:
python3 scripts/twitter_client.py search --query "AI agents"
python3 scripts/twitter_client.py user-info --username elonmusk
  1. For publishing or engagement, complete OAuth in the browser through the referenced workflows before running the engagement client.

AIsa Twitter Data Schema & Taxonomy

AIsa Twitter is organized around API resources and CLI entry points rather than locally generated files.

Data Domain Primary Identifiers Typical Endpoints Notes
Authentication AISA_API_KEY, TWITTER_RELAY_BASE_URL, TWITTER_RELAY_TIMEOUT All requests AISA_API_KEY is required; relay vars are optional and control OAuth-backed actions.
User Data userName, user_id, cursor /user/info, /user_about, /user/last_tweets, /user/mentions, /user/followers, /user/followings, /user/verifiedFollowers, /user/search Supports profile lookup, relationship checks, and follower/following discovery.
Tweet Data tweetId, tweet_ids, cursor, query, queryType /tweet/advanced_search, /tweets, /tweet/replies, /tweet/quotes, /tweet/retweeters, /tweet/thread_context, /article queryType must be Latest or Top for advanced search.
Trend/Discovery Data woeid, query /trends, /community/get_tweets_from_all_community woeid=1 returns worldwide trends.
Lists & Communities list_id, community_id, cursor /list/members, /list/followers, /community/info, /community/members, /community/moderators, /community/tweets Useful for audience mapping and niche research.
Spaces space_id /spaces/detail Returns Space metadata for live audio discovery.
Usage Metadata usage.cost, usage.credits_remaining All responses Built-in billing telemetry for cost-aware automation.

Files and runtime entry points

  • scripts/twitter_client.py for read-only research and discovery operations.
  • scripts/twitter_engagement_client.py for OAuth-backed engagement tasks through the configured relay.
  • No local database or export files are generated by default; responses are returned as JSON over HTTP/CLI.

Metadata taxonomy

  • primaryEnv: AISA_API_KEY
  • requires.bins: python3
  • optionalEnv: TWITTER_RELAY_BASE_URL, TWITTER_RELAY_TIMEOUT
  • compatibility: openclaw, claude-code, hermes
  • user-invocable: true

AIsa Twitter Advanced Features

  • Advanced tweet search with Latest and Top modes for real-time discovery and ranking.
  • Cursor-based pagination across users, tweets, communities, lists, and mentions for scalable agent loops.
  • Batch user lookup by ID for faster multi-account research.
  • Conversation reconstruction via replies, quotes, retweeters, and full thread context.
  • Audience intelligence with verified followers, relationship checks, list members, and list followers.
  • Community and Space exploration for niche monitoring beyond standard timelines.
  • OAuth-based posting and engagement through the relay without sharing account passwords.
  • Built-in cost telemetry so Openclaw Skills agents can throttle or stop when credits are low.
  • Compatible with Openclaw Skills, Claude Code, and Hermes workflows.
  • Separate read and action paths make it easy to enforce safe automation boundaries.

SKILL.md


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