x-intelligence-automation-aisa

Search and engage with Twitter/X profiles, tweets, trends, and perform authorized posting, liking, and following via the AISA relay using OAuth and API key.

X Intelligence Automation

Runtime-focused release bundle for Twitter/X search, posting, and engagement through the AISA relay.

When to use

• The user wants Twitter/X research plus posting, liking, unliking, following, or unfollowing workflows.
• The task can use a Python client with AISA_API_KEY and explicit OAuth approval.
• The workflow needs a single package that covers read, post, and engagement actions.

When NOT to use

• The user needs cookie extraction, password login, or a fully local Twitter client.
• The workflow must avoid relay-based network calls or media upload through api.aisa.one.
• The task needs undocumented secrets or browser-derived auth values.

Quick Reference

• Required env: AISA_API_KEY
• Read client: ./scripts/twitter_client.py
• Post client: ./scripts/twitter_oauth_client.py
• Engage client: ./scripts/twitter_engagement_client.py
• References: ./references/post_twitter.md, ./references/engage_twitter.md

Setup

bash

export AISA_API_KEY="your-key"

All network calls go to https://api.aisa.one/apis/v1/....

Capabilities

• Read user, tweet, trend, list, community, and Spaces data.
• Publish text, image, and video posts after explicit OAuth approval.
• Like, unlike, follow, and unfollow through the engagement client once authorization exists.
• Reuse OpenClaw context instead of local file-based conversation persistence.

Common Commands

bash

python3 {baseDir}/scripts/twitter_client.py search --query "AI agents" --type Latest
python3 {baseDir}/scripts/twitter_oauth_client.py authorize
python3 {baseDir}/scripts/twitter_oauth_client.py post --text "Hello from OpenClaw"
python3 {baseDir}/scripts/twitter_engagement_client.py like-latest --user "@elonmusk"
python3 {baseDir}/scripts/twitter_engagement_client.py follow-user --user "@elonmusk"

Posting and Engagement Workflow

• Use ./references/post_twitter.md for post, reply, quote, and media-upload actions.
• Use ./references/engage_twitter.md for likes, unlikes, follows, and unfollows.
• Obtain OAuth authorization before any write action.

ClawHub Suspicious Review Notes

These points summarize the common reasons similar skills are marked Suspicious and how this release addresses them:

• The package is relay-based: read calls, OAuth requests, engagement actions, and approved media uploads go to api.aisa.one.
• The package is API-key-first: it requires AISA_API_KEY and does not ask for passwords, cookies, CT0, or other legacy secrets.
• The release bundle is runtime-only: it keeps SKILL.md, scripts/, and the required references, while omitting non-runtime files such as README.md and _meta.json.
• The package does not include cache sync, self-install logic, home-directory persistence, browser-cookie extraction, or external agent CLI wrappers.
• Browser opening is optional and not the default workflow; returning the authorization link is the preferred path for OpenClaw.

Release Bundle Notes

• scripts/twitter_client.py preserves the read API surface from the original bundle.
• scripts/twitter_oauth_client.py preserves OAuth and posting behavior from the original bundle.
• scripts/twitter_engagement_client.py preserves like, unlike, follow, and unfollow behavior from the original bundle.
• This package is optimized for publication metadata and upload safety, not for changing runtime logic.