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aipoch-ai

Mentorship Meeting Agenda

by AIpoch · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
143
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0
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0
Active Installs
1
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Install in OpenClaw
/install mentorship-meeting-agenda
Description
Generate structured agendas for mentor-student one-on-one meetings
Usage Guidance
This skill appears to do exactly what it says: a small local Python script generates and prints/saves an agenda. It does not use network access or request credentials. Before running, review the output path you pass to --output (the script will write the file as-is and will overwrite existing files or follow ../ paths), and run it as an unprivileged user or inside a sandbox if you are concerned about accidental overwrites. Note that the SKILL.md lists security checks (input path validation, sandboxing, sanitized errors) that are not implemented in the script — if you plan to use this with sensitive files or automate it, consider adding path validation and limiting write locations. Otherwise, the skill is low-risk and coherent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill Name: mentorship-meeting-agenda Version: 1.0.0 The skill bundle is a straightforward tool for generating mentorship meeting agendas. The Python script (scripts/main.py) uses standard libraries to format text based on user input and optionally write it to a file, with no evidence of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
The name/description (generate mentor-student agendas) align with the included Python script and SKILL.md usage. No unrelated binaries, credentials, or services are requested.
Instruction Scope
Runtime instructions are limited to running the local Python script which prints an agenda and optionally writes an output file. The SKILL.md recommends input validation and sandboxing, but the script itself does not validate output paths or implement sandboxing—this is a security hygiene gap, not an active malicious behavior.
Install Mechanism
No install spec; the skill is instruction + a small Python script using only the standard library. No external downloads or package installs are required.
Credentials
The skill requires no environment variables, credentials, or config paths. This is proportionate to its stated purpose.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent privileges. It does not modify other skills or system configuration.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mentorship-meeting-agenda
  3. After installation, invoke the skill by name or use /mentorship-meeting-agenda
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of mentorship-meeting-agenda. - Generates structured agendas for mentor-student one-on-one meetings. - Supports customization by student name, career phase, and topic selection. - Provides standardized agenda sections with time allocations and discussion prompts. - Outputs meeting agendas with follow-up trackers in a specified file. - No additional Python packages required; local script execution only.
Metadata
Slug mentorship-meeting-agenda
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Mentorship Meeting Agenda?

Generate structured agendas for mentor-student one-on-one meetings. It is an AI Agent Skill for Claude Code / OpenClaw, with 143 downloads so far.

How do I install Mentorship Meeting Agenda?

Run "/install mentorship-meeting-agenda" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Mentorship Meeting Agenda free?

Yes, Mentorship Meeting Agenda is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Mentorship Meeting Agenda support?

Mentorship Meeting Agenda is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Mentorship Meeting Agenda?

It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.

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