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AIsa Twitter Research Engage Relay
by
baofeng-tech
· GitHub ↗
· v1.0.6
· MIT-0
114
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Install in OpenClaw
/install aisa-twitter-research-engage-relay
Description
Run Twitter/X likes, follows, replies, and OAuth-gated posting through AIsa. Use when: the user already knows which account, tweet, or campaign to act on and...
README (SKILL.md)
AIsa Twitter Engagement Suite
Run Twitter/X likes, follows, replies, and OAuth-gated posting through AIsa. Use when: the user already knows which account, tweet, or campaign to act on and needs explicit engagement workflows. Supports read context, engagement actions, and approved posting.
When to use
- The user already knows which tweet, account, or campaign needs action.
- The user needs explicit likes, follows, replies, or other engagement workflows after review.
- The user wants approved posting and engagement without sharing passwords.
High-Intent Workflows
- Research the target, then like or follow with explicit approval.
- Use engagement actions as follow-through after a post or campaign review.
- Combine read context, posting, and engagement in one approved workflow.
Quick Reference
python3 scripts/twitter_client.py --helppython3 scripts/twitter_engagement_client.py --helppython3 scripts/twitter_oauth_client.py --help
Setup
AISA_API_KEYis required for AIsa-backed API access.- Use repo-relative
scripts/paths from the shipped package. - Twitter/X reads, OAuth requests, and user-approved media uploads use the fixed AIsa API endpoint
https://api.aisa.one/apis/v1/twitter. - Provide only
AISA_API_KEY; do not use passwords, cookies, or browser credential export.
Example Requests
- Research a target account and like its latest tweet
- Authorize a reply or follow-up action after a launch post
- Run a reply, like, or follow workflow on a confirmed target
Guardrails
- Do not ask for passwords, cookies, or browser credentials.
- Do not make likes, follows, replies, or uploads sound silent or automatic.
- Do not claim an engagement action succeeded until the API confirms it.
- Only upload local files the user explicitly attached, and make it clear those files are sent to AIsa's Twitter/X API endpoint.
Usage Guidance
This package appears internally consistent with its stated purpose. Before installing, consider: 1) You must provide an AISA_API_KEY — that key grants the skill the ability to act through the AIsa relay (likes, follows, posts, media uploads). Only supply the key if you trust the AIsa service/operator. 2) The scripts will upload any local workspace files you explicitly attach (images/videos) to api.aisa.one for posting—do not attach private files you don't want sent. 3) The package source and homepage are missing; if you need stronger assurance, review the included Python files yourself or validate the AIsa operator and API privacy/policies. 4) The skill can be invoked by the agent (normal default); if you want to restrict autonomous actions, avoid giving the agent broad autonomous permissions or invoke the skill only on demand.
Capability Analysis
Type: OpenClaw Skill
Name: aisa-twitter-research-engage-relay
Version: 1.0.6
The skill bundle provides a legitimate set of tools for interacting with Twitter/X via the AIsa API relay (api.aisa.one). It includes scripts (twitter_client.py, twitter_engagement_client.py, twitter_oauth_client.py) for reading data, performing engagement actions like following and liking, and publishing posts with support for media uploads and threading. The instructions in SKILL.md and the reference documentation include clear guardrails against requesting user passwords or cookies, and the code uses standard Python libraries without any signs of obfuscation, persistence, or unauthorized data exfiltration.
Capability Tags
Capability Assessment
Purpose & Capability
Name and description match the requested artifact set: Python scripts implement read-only APIs, engagement actions (like/unlike/follow/unfollow), and OAuth-backed posting. The single required secret (AISA_API_KEY) is exactly what the code uses for Authorization headers to the relay endpoint (https://api.aisa.one/apis/v1). No unrelated services, binaries, or config paths are requested.
Instruction Scope
SKILL.md instructions and the Python clients align: they call the repo-relative scripts, require AISA_API_KEY, and instruct the agent to use the AIsa relay. The clients only use the provided workspace file paths for media uploads and do not instruct collection of other system secrets or home-directory files. Guardrails in the docs explicitly forbid requesting passwords or cookies and the code reflects that behavior.
Install Mechanism
No install spec is provided (instruction-only install), and the package includes Python scripts that run with python3. This is the lowest-risk install model: nothing is downloaded or executed from an external URL during install.
Credentials
Only AISA_API_KEY is declared and used. The code references no other environment secrets or unexpected credential names. The required secret is proportional to the stated task (authenticating to the AIsa relay).
Persistence & Privilege
The skill is not always-enabled and does not request system-wide persistence or modify other skills. It runs as an invoked skill and uses only its local scripts; autonomous invocation is allowed by default but is not combined with elevated privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install aisa-twitter-research-engage-relay - After installation, invoke the skill by name or use
/aisa-twitter-research-engage-relay - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.6
- Major update: Now focused on Twitter/X likes, follows, replies, and explicit engagement actions.
- Refined to support workflows where the user already knows the tweet, account, or campaign to target.
- Removed general-purpose monitoring and search in favor of action/engagement workflows.
- Documentation updated to clarify approved posting, read-before-engage context, and required explicit approval.
- License changed from Apache-2.0 to MIT-0.
v1.0.5
- Version bump from 1.0.4 to 1.0.5.
- Documentation update: no functional or workflow changes described in SKILL.md.
v1.0.4
- Version updated to 1.0.4
- Documentation refreshed in SKILL.md with minor edits and formatting improvements
- No functionality or usage changes introduced
v1.0.3
- Updated version to 1.0.3 in SKILL.md.
- No functional or documentation changes beyond version metadata.
v1.0.2
- Updated version to 1.0.2.
- Documentation update: no functional or code changes; SKILL.md edited only.
v1.0.1
- Updated skill description and documentation for clarity on supported Twitter/X research, monitoring, and engagement workflows.
- Explicitly detailed required environment variable (`AISA_API_KEY`) and outlined optional configuration for relay URL and timeout.
- Provided clear instructions for usage, setup, and guardrails around authentication and secure posting.
- Added "Quick Reference" section with command-line usage examples.
- Emphasized new security and approval guardrails for posting and file uploads.
Metadata
Frequently Asked Questions
What is AIsa Twitter Research Engage Relay?
Run Twitter/X likes, follows, replies, and OAuth-gated posting through AIsa. Use when: the user already knows which account, tweet, or campaign to act on and... It is an AI Agent Skill for Claude Code / OpenClaw, with 114 downloads so far.
How do I install AIsa Twitter Research Engage Relay?
Run "/install aisa-twitter-research-engage-relay" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AIsa Twitter Research Engage Relay free?
Yes, AIsa Twitter Research Engage Relay is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does AIsa Twitter Research Engage Relay support?
AIsa Twitter Research Engage Relay is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AIsa Twitter Research Engage Relay?
It is built and maintained by baofeng-tech (@baofeng-tech); the current version is v1.0.6.
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