Language
v1.0.0A comprehensive AI agent skill for language learners at every level. Builds personalized study plans, teaches vocabulary in context, corrects your writing an...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
medium confidencePurpose & Capability
Name and description (personalized plans, vocabulary in context, writing correction, mock conversations, progress tracking) align with the SKILL.md content. No unexpected binaries, credentials, or config paths are requested.
Instruction Scope
The instructions describe collecting personal context (name, city, interests, conversation scenarios) and 'tracking patterns' and progress. The SKILL.md does not instruct reading unrelated system files or environment variables, but it is vague about where and how progress/personal data will be stored and protected; this is a privacy/implementation detail to clarify.
Install Mechanism
No install spec and no code files are present (instruction-only). This is the lowest-risk install pattern and matches the skill's described behavior.
Credentials
The skill requests no environment variables, credentials, or config paths. The personal data it asks the user to provide (interests, name, scenarios) is reasonable for the stated personalization, but the SKILL.md does not specify retention or external services.
Persistence & Privilege
The skill claims to 'track your progress' and 'adjust' plans over time, which implies state persistence. However, there is no install or declaration of storage mechanisms, memory usage, or external services. Clarify whether the agent will persist data in agent memory, local storage, or external services, and what access/permissions are required.
Assessment
This skill appears to do what it says and does not request credentials or install code, but it will ask for personal details (name, location, interests, examples of mistakes) to personalize lessons and claims to track progress. Before installing or enabling it for autonomous use, ask the publisher: (1) how and where progress/personal data are stored (agent memory, local files, remote service), (2) whether any external APIs or third-party storage are used and what credentials would be required, and (3) how long data is retained and how it can be deleted. Until you have answers, avoid submitting highly sensitive personal information and consider using it in an ephemeral session or sandboxed agent instance.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.