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Install in OpenClaw
/install cover-letter-drafter
Description
Generates professional cover letters for journal submissions and job applications in medical and academic contexts.
README (SKILL.md)
Cover Letter Drafter
Creates tailored cover letters for academic and medical positions.
Features
- Journal submission cover letters
- Job application cover letters
- Fellowship application letters
- Customizable templates
Parameters
| 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 |
Usage
# 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"
Output Format
{
"cover_letter": "string",
"subject_line": "string",
"word_count": "int"
}
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
Usage Guidance
This skill appears to be what it claims: a small local Python tool for drafting cover letters. Before running it, consider these practical cautions: (1) The script will write to whatever path you pass to --output without checking for ../ traversal or restricting destination — avoid passing sensitive system paths and run in a sandboxed workspace. (2) User-supplied fields (recipient, key-points, title, significance, etc.) are interpolated directly into templates without sanitization; do not feed sensitive or untrusted data if you care about leakage or formatting surprises. (3) The SKILL.md lists checklist items (prompt-injection protections, input validation) but the code does not implement them — treat those as TODOs, not guarantees. If you need stronger guarantees, run the script in an isolated environment, review/modify templates to fit your privacy needs, and ensure output paths are safe before enabling automated/autonomous invocation.
Capability Analysis
Type: OpenClaw Skill
Name: cover-letter-drafter
Version: 0.1.1
The skill is a template-based cover letter generator that appears functionally benign; however, it contains a file system vulnerability. Specifically, `scripts/main.py` accepts an `--output` path argument and writes to it without any sanitization or validation, which allows for arbitrary file writes (path traversal) outside the intended workspace. This risk is explicitly acknowledged but left unaddressed in the security checklist within `SKILL.md`.
Capability Assessment
Purpose & Capability
Name/description match the code and SKILL.md: a small Python script that generates cover letters for journal, job, and fellowship use cases. There are no unexpected binaries, env vars, or cloud credentials requested.
Instruction Scope
Runtime instructions and examples are scoped to running the local script with CLI args. The code only formats templates and writes JSON output. However, the script will write whatever path is provided to --output without validating or restricting paths (no ../ traversal protection), and user-supplied fields are interpolated directly into templates without sanitization.
Install Mechanism
No install specification — instruction-only plus a small local Python script. Nothing is downloaded or written by an installer.
Credentials
No environment variables, credentials, or config paths are requested. The requested footprint is minimal and proportionate to the stated function.
Persistence & Privilege
always is false and the skill does not request permanent/system-wide changes. It only runs when invoked and writes output to the specified path; it does not modify other skills or global agent config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install cover-letter-drafter - After installation, invoke the skill by name or use
/cover-letter-drafter - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
- No changes detected from the previous version.
- Version number updated to 0.1.1.
v0.1.0
Initial release: Cover Letter Drafter generates tailored cover letters for jobs, journal submissions, and fellowships in academic/medical fields.
- Supports journal, job, and fellowship cover letter generation.
- Customizable with key points, recipient, title, and significance fields.
- Outputs cover letter, subject line, and word count in JSON.
- CLI interface with detailed usage instructions.
- Includes risk assessment and security checklist.
- No extra Python packages required.
Metadata
Frequently Asked Questions
What is Cover Letter Drafter?
Generates professional cover letters for journal submissions and job applications in medical and academic contexts. It is an AI Agent Skill for Claude Code / OpenClaw, with 230 downloads so far.
How do I install Cover Letter Drafter?
Run "/install cover-letter-drafter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Cover Letter Drafter free?
Yes, Cover Letter Drafter is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Cover Letter Drafter support?
Cover Letter Drafter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Cover Letter Drafter?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v0.1.1.
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