postdoc-fellowship-matcher
Match postdoc applicants to eligible fellowships based on nationality and research area
44
Quality
31%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Securityby
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/Academic Writing/postdoc-fellowship-matcher/SKILL.mdPostdoc 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
- Basic Functionality: Standard input → Expected output
- Edge Case: Invalid input → Graceful error handling
- 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
- Repository
- aipoch/medical-research-skills
- Commit
4a48721
- Last updated
- Created
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