Skills openclaw-twitter-post-engage
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.
install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/bibaofeng/twitter-post-aisa" ~/.claude/skills/openclaw-skills-openclaw-twitter-post-engage && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/bibaofeng/twitter-post-aisa" ~/.openclaw/skills/openclaw-skills-openclaw-twitter-post-engage && rm -rf "$T"
manifest:
skills/bibaofeng/twitter-post-aisa/SKILL.mdsource content
OpenClaw Twitter Post Engage
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
and explicit OAuth approval.AISA_API_KEY - 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
for post, reply, quote, and media-upload actions../references/post_twitter.md - Use
for likes, unlikes, follows, and unfollows../references/engage_twitter.md - 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
and does not ask for passwords, cookies,AISA_API_KEY
, or other legacy secrets.CT0 - The release bundle is runtime-only: it keeps
,SKILL.md
, and the required references, while omitting non-runtime files such asscripts/
andREADME.md
._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
preserves the read API surface from the original bundle.scripts/twitter_client.py
preserves OAuth and posting behavior from the original bundle.scripts/twitter_oauth_client.py
preserves like, unlike, follow, and unfollow behavior from the original bundle.scripts/twitter_engagement_client.py- This package is optimized for publication metadata and upload safety, not for changing runtime logic.