Generates professional cover letters for journal submissions and job applications in medical and academic contexts.
Creates tailored cover letters for academic and medical positions.
| Parameter | Type | Default | Required | Description |
|---|---|---|---|---|
--purpose | string | job | No | Cover letter type (journal, job, fellowship) |
--recipient, -r | string | - | Yes | Target journal or institution |
--key-points, -k | string | - | Yes | Comma-separated key points to highlight |
--title | string | - |
| No |
| Manuscript title (for journal submissions) |
--significance | string | - | No | Significance statement (for journal submissions) |
--author, --applicant, -a | string | Applicant | No | Author or applicant name |
--position | string | - | No | Position title (for job applications) |
--fellowship | string | - | No | Fellowship name (for fellowship applications) |
--output, -o | string | - | No | Output JSON file path |
# Journal submission cover letter
python scripts/main.py --purpose journal --recipient "Nature Medicine" \
--key-points "Novel findings,Clinical relevance" \
--title "Study X" --significance "major advance" --author "Dr. Smith"
# Job application cover letter
python scripts/main.py --purpose job --recipient "Harvard Medical School" \
--key-points "10 years experience,Published 20 papers" \
--position "Assistant Professor" --applicant "Dr. Jones"
# Fellowship application
python scripts/main.py --purpose fellowship --recipient "NIH" \
--key-points "Research excellence,Leadership skills" \
--fellowship "K99" --applicant "Dr. Lee"
{
"cover_letter": "string",
"subject_line": "string",
"word_count": "int"
}
| 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 |
No additional Python packages required.