---
name: mentorship-meeting-agenda
description: Generate structured agendas for mentor-student one-on-one meetings
version: 1.0.0
category: Career
tags: []
author: AIPOCH
license: MIT
status: Draft
risk_level: Medium
skill_type: Tool/Script
owner: AIPOCH
reviewer: ''
last_updated: '2026-02-06'
---

# Mentorship Meeting Agenda

Generate structured agendas for mentor-student one-on-one meetings to ensure productive discussions.

## Usage

```bash
python scripts/main.py --student "Alice" --phase early --output agenda.md
```

## Parameters

- `--student`: Student name
- `--phase`: Career phase (early/mid/late)
- `--topics`: Specific topics to cover
- `--output`: Output file

## Agenda Sections

1. Progress updates (5 min)
2. Current challenges (10 min)
3. Goal setting (10 min)
4. Resource needs (5 min)
5. Action items (5 min)

## Output

- Structured meeting agenda
- Time allocations
- Discussion prompts
- Follow-up tracker

## Risk Assessment

| Risk Indicator | Assessment | Level |
|----------------|------------|-------|
| Code Execution | Python/R scripts executed locally | Medium |
| Network Access | No external API calls | Low |
| File System Access | Read input files, write output files | Medium |
| Instruction Tampering | Standard prompt guidelines | Low |
| Data Exposure | Output files saved to workspace | Low |

## Security Checklist

- [ ] No hardcoded credentials or API keys
- [ ] No unauthorized file system access (../)
- [ ] Output does not expose sensitive information
- [ ] Prompt injection protections in place
- [ ] Input file paths validated (no ../ traversal)
- [ ] Output directory restricted to workspace
- [ ] Script execution in sandboxed environment
- [ ] Error messages sanitized (no stack traces exposed)
- [ ] Dependencies audited
## Prerequisites

No additional Python packages required.

## Evaluation Criteria

### Success Metrics
- [ ] Successfully executes main functionality
- [ ] Output meets quality standards
- [ ] Handles edge cases gracefully
- [ ] Performance is acceptable

### Test Cases
1. **Basic Functionality**: Standard input → Expected output
2. **Edge Case**: Invalid input → Graceful error handling
3. **Performance**: Large dataset → Acceptable processing time

## Lifecycle Status

- **Current Stage**: Draft
- **Next Review Date**: 2026-03-06
- **Known Issues**: None
- **Planned Improvements**: 
  - Performance optimization
  - Additional feature support


---
Source attribution: GeorgeDoors888
Original project: https://github.com/GeorgeDoors888/GB-Power-Market-JJ/blob/main/openclaw-skills/skills/aipoch-ai/mentorship-meeting-agenda/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: GeorgeDoors888
Original project: https://github.com/GeorgeDoors888/GB-Power-Market-JJ/blob/main/openclaw-skills/skills/aipoch-ai/mentorship-meeting-agenda/SKILL.md
Attribution basis: Source repository record

Fields of work: Education & Research, Human Resources
Roles: HR Generalist, Learning & Development, Tutor / Instructor
Specialties: Specialty not specified
Tools: Tool not specified
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: f18dffd990b9f0b59a3a064faaca2419ba6f5c3bc267315b5e119057d5db4df5