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Mael
by
muhammad194494-pixel
· GitHub ↗
· v1.0.0
· MIT-0
122
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install linkedin22
Description
Membantu membuat dan memposting status LinkedIn dengan isi sesuai permintaan, menyesuaikan tone formal dan menyertakan hashtag relevan.
README (SKILL.md)
💼 LinkedIn — Post ke LinkedIn
When to Use
Gunakan skill ini ketika user meminta untuk:
- Post ke LinkedIn
- Share sesuatu di LinkedIn
- Update status LinkedIn
- "Post LinkedIn: ..."
- "Share ke LinkedIn: ..."
- "LinkedIn post tentang ..."
How to Use
Jalankan script Python berikut dengan teks post sebagai argumen:
python3 ~/.openclaw/workspace/linkedin_post.py "\x3Cisi post>"
Contoh
python3 ~/.openclaw/workspace/linkedin_post.py "OpenClaw sekarang bisa auto-post ke LinkedIn 🦀"
Output sukses
✅ Post berhasil!
🔗 https://www.linkedin.com/feed/update/urn:li:activity:xxxx
Output gagal
❌ Error 401.
Rules
- Maksimal 3000 karakter per post
- Selalu konfirmasi ke user sebelum posting: "Yakin mau post ini ke LinkedIn?"
- Tampilkan link post setelah berhasil
- LinkedIn lebih formal dari Twitter — sesuaikan tone konten
- Kalau user tidak kasih teks, tanya dulu sebelum post
- Hashtag disarankan untuk reach lebih luas
Tips Konten LinkedIn
- Gunakan line break untuk keterbacaan
- Tambah hashtag relevan di akhir: #AI #Automation #OpenClaw
- Tone profesional tapi tetap personal
- Maksimal 3-5 hashtag biar tidak spammy
Usage Guidance
This result is low confidence because the scanner could not read the workspace artifacts; review metadata.json and the artifact directory before installing.
Capability Assessment
Purpose & Capability
Artifact coherence could not be verified because attempts to inspect metadata.json and artifact files failed before command execution.
Instruction Scope
No skill instructions were available for review, so there is no artifact evidence of goal hijack, hidden behavior, or unsafe scope.
Install Mechanism
Install metadata and package contents could not be inspected; no artifact-backed install risk was identified.
Credentials
Runtime environment needs could not be compared to the stated purpose because the artifacts were inaccessible.
Persistence & Privilege
No evidence of persistence, credential use, or privilege expansion was available from the provided artifacts.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install linkedin22 - After installation, invoke the skill by name or use
/linkedin22 - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of LinkedIn posting skill.
- Enables posting, sharing, and updating status on LinkedIn via a Python script.
- Confirms with user before posting and provides a link upon success.
- Includes content guidelines: 3000 character max, formal tone, use relevant hashtags.
- Provides usage instructions and post formatting tips.
Metadata
Frequently Asked Questions
What is Mael?
Membantu membuat dan memposting status LinkedIn dengan isi sesuai permintaan, menyesuaikan tone formal dan menyertakan hashtag relevan. It is an AI Agent Skill for Claude Code / OpenClaw, with 122 downloads so far.
How do I install Mael?
Run "/install linkedin22" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Mael free?
Yes, Mael is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Mael support?
Mael is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Mael?
It is built and maintained by muhammad194494-pixel (@muhammad194494-pixel); the current version is v1.0.0.
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