openclaw-twitter-post-engage

name	openclaw-twitter-post-engage
description	Search X/Twitter profiles, tweets, trends, and approved engagement actions through the AISA relay. Use when: the user asks for Twitter/X research, posting, likes, follows, or related workflows without sharing passwords. Supports read APIs, OAuth-gated posting, and follow or like operations.
compatibility	Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one.
metadata	{"author":"AIsa","version":"2.0.4","homepage":"https://aisa.one","repository":"https://github.com/baofeng-tech/agent-skills","tags":"twitter,x,search,research,aisa","platforms":"agentskills.io,agentskill.sh,github","primary_env":"AISA_API_KEY"}
allowed-tools	Read Bash Grep

Twitter Post Engage

Runtime-focused skill package 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

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 and --confirm-engagement is present.
• Reuse the current conversation context instead of local file-based conversation persistence.

Common Commands

python3 scripts/twitter_client.py search --query "AI agents" --type Latest
python3 scripts/twitter_oauth_client.py authorize
python3 scripts/twitter_oauth_client.py post --text "Hello from AIsa" --confirm-public-write
python3 scripts/twitter_engagement_client.py like-latest --user "@elonmusk" --confirm-engagement
python3 scripts/twitter_engagement_client.py follow-user --user "@elonmusk" --confirm-engagement

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.
• Treat plain posts, reply threads, and quote posts as separate modes: quote mode requires an explicit --quote-tweet-url, while multi-part text continues as a reply thread.

Runtime Boundary

• 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.
• CLI status and publish results report whether AISA_API_KEY is present, but do not print the key value.
• 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 this release.