aipoch

postdoc-fellowship-matcher

Match postdoc applicants to eligible fellowships based on nationality

aipoch 972 60 Updated 3mo ago
GitHub

Install

npx skillscat add aipoch/medical-research-skills/postdoc-fellowship-matcher

Install via the SkillsCat registry.

SKILL.md

Postdoc Fellowship Matcher

Filter postdoctoral fellowships based on applicant nationality, years since PhD, and research area.

Usage

python scripts/main.py --nationality US --years-post-phd 1 --field "immunology"

Parameters

  • --nationality: Applicant nationality
  • --years-post-phd: Years since PhD completion
  • --field: Research field
  • --institution: Current/potential institution

Fellowship Database

  • NIH F32
  • NSF Postdoctoral Fellowships
  • HFSP Fellowship
  • EMBO Fellowship
  • Marie Curie Fellowships
  • Schmidt Science Fellows

Output

  • Eligible fellowships list
  • Deadlines and requirements
  • Success rate estimates

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