Flashcard-based English vocabulary learning with SQLite + SRS. Works with any chat platform when paired with an OpenClaw agent prompt.

This skill's code and instructions are generally consistent with a local flashcard tool, but take these precautions before installing or running it: - Inspect the full scripts/words.py file yourself (it makes outbound HTTP calls to fetch audio and may call other third-party endpoints). - The package did not declare runtime requirements: you will need Python and the 'requests' library; run the script in a virtual environment (venv) and avoid running as a privileged user. - If you don't want network access, avoid using --fill-audio or run in an offline/sandboxed environment; check which domains the script contacts (Cambridge dictionary is visible in the source). - Ensure the DB path (ENGLISH_LEARN_CARDS_DB) points to a safe, non-sensitive location; do not set it to a system or secrets-related folder. - Because there is no install spec, the environment won’t automatically install dependencies — the missing declaration is an incoherence and increases risk; prefer skills that list install steps or include explicit dependency manifests. If you want to proceed: run the script in an isolated environment, review network calls, and consider adding a small install script that pins and installs required Python packages before use.

Type: OpenClaw Skill Name: english-learn-cards Version: 0.1.1 The skill bundle is benign. It provides a flashcard-based English vocabulary learning tool using a local SQLite database. The `scripts/words.py` helper script makes legitimate network requests to dictionary.cambridge.org to fetch audio pronunciations, which is directly aligned with its stated purpose. There is no evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection attempts against the OpenClaw agent to subvert its behavior or access sensitive data beyond the skill's scope. All instructions in `SKILL.md` and `AGENT_PROMPT_TEMPLATE.md` are for proper skill usage and agent interaction.