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Install in OpenClaw
/install recommendation-letter-assistant
Description
Helps faculty and mentors draft standardized recommendation letters for.
Usage Guidance
This package is small and internally coherent, but before installing or using it: 1) review scripts/main.py locally and run it in a sandboxed environment to confirm behavior; 2) avoid pasting sensitive applicant data into untrusted environments—test with dummy names first; 3) note the SKILL.md mentions CONFIG blocks and file IO protections that the script doesn't implement, so if you plan to extend the skill to read/write real files, add proper path validation and sandboxing; 4) if you rely on this in production, consider pinning Python package versions and adding input validation/logging to avoid accidental disclosure.
Capability Analysis
Type: OpenClaw Skill
Name: recommendation-letter-assistant
Version: 1.0.0
The recommendation-letter-assistant skill is a straightforward tool for drafting academic letters of recommendation. The primary logic in scripts/main.py uses predefined templates to generate text based on user input and contains no network calls, sensitive file access, or dangerous execution patterns. The SKILL.md instructions are well-structured, focusing on task-specific workflows and safety checklists without any evidence of prompt injection or malicious intent.
Capability Assessment
Purpose & Capability
The name/description match the included code and reference material: a small Python script produces letter drafts and guidance docs support letter-writing. Nothing in the package requests unrelated cloud credentials, system access, or binaries.
Instruction Scope
SKILL.md instructs running scripts/main.py and mentions validating inputs, file IO protections, and a CONFIG block; the actual script is simple (accepts a CLI name, builds text, prints JSON) and does not read external files, network resources, or environment variables. This is a minor documentation vs implementation mismatch (the doc suggests more file/config handling than the code performs).
Install Mechanism
No install spec and only a small Python script are included. There are no downloads, package installs, or extract steps. Risk from installation is minimal.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The code also does not access env vars or secrets. Credential scope is proportional to the stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide changes. It does not modify other skills or agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install recommendation-letter-assistant - After installation, invoke the skill by name or use
/recommendation-letter-assistant - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Recommendation Letter Assistant.
- Provides a structured workflow for drafting standardized recommendation letters, tailored for mentors and faculty.
- Features competency-based content suggestions, specialty-specific customization, and alignment with MSPE/Dean's Letter standards.
- Includes risk assessment, audit-ready commands, and security checklist for safe execution.
- Supports template-driven output and explicit input validation, with clear error handling and fallback guidance.
- Offers example usage instructions, structured output format, and evaluation criteria for consistent, reproducible results.
Metadata
Frequently Asked Questions
What is Rec. Letter Assistant?
Helps faculty and mentors draft standardized recommendation letters for. It is an AI Agent Skill for Claude Code / OpenClaw, with 175 downloads so far.
How do I install Rec. Letter Assistant?
Run "/install recommendation-letter-assistant" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Rec. Letter Assistant free?
Yes, Rec. Letter Assistant is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Rec. Letter Assistant support?
Rec. Letter Assistant is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Rec. Letter Assistant?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.
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