按用户明确指令,在得到大脑(Get笔记)中保存、搜索并管理笔记与知识库。
编程
x-intelligence-automation-aisa
试用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.
它能做什么
Runtime-focused release bundle for Twitter/X search, posting, and engagement through the AISA relay.
技能文档
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_KEYand 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.
- Reuse OpenClaw context instead of local file-based conversation persistence.
Common Commands
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.mdfor post, reply, quote, and media-upload actions. - Use
./references/engage_twitter.mdfor 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_KEYand 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 asREADME.mdand_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.pypreserves the read API surface from the original bundle.scripts/twitter_oauth_client.pypreserves OAuth and posting behavior from the original bundle.scripts/twitter_engagement_client.pypreserves 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.
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