Listing I18n
v0.2.0在 OpenClaw 中把中文产品 Excel 或 CSV 本地化为 Amazon 和 Shopify 的多语言 Listing。适用于翻译产品、跨境电商 Listing 本地化、Amazon listing、Shopify listing、localize products 等场景。
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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
high confidencePurpose & Capability
Name/description align with the delivered artifacts: included Python scripts (generate_template.py, inspect_input.py, build_output.py, validate.py) implement template generation, input inspection, Excel output building and validation for Amazon/Shopify—matching the stated listing-i18n purpose. Required binary (python3) and dependency (openpyxl) are proportional.
Instruction Scope
SKILL.md instructs the agent to use the OpenClaw LLM for translation/localization and local Python scripts for auxiliary tasks. The instructions only reference local files and the provided scripts. Important: product descriptions and other input data are intended to be sent to the LLM for translation (this is expected for the skill's purpose), so you should consider privacy/confidentiality of any proprietary or PII content before invoking the skill.
Install Mechanism
No install spec is present (instruction-only skill). Scripts are included in the skill bundle and run locally. The only runtime dependency is openpyxl (installed via pip by the user), and scripts print a clear error if openpyxl is missing. No remote downloads, obfuscated code, or unusual install locations are used.
Credentials
The skill declares no environment variables, no credentials, and no config paths. The Python scripts do not read environment secrets or external tokens—only local files (Excel/CSV/JSON). This is proportionate to the stated functionality.
Persistence & Privilege
Skill flags are default (always: false). It does not request permanent inclusion or modify other skills or system-wide settings. Autonomous model invocation is allowed by platform default but not combined with any broad credential or privileged actions in this package.
Assessment
This skill appears internally consistent: the provided scripts implement the template/inspection/build/validation workflow described in SKILL.md and only require python3 + openpyxl. Before installing/using, consider: 1) Data privacy — the LLM (OpenClaw) will receive your product text for translation, so avoid sending sensitive or proprietary data unless you accept that exposure. 2) Run the Python scripts locally in a controlled environment (use a virtualenv) and install openpyxl via pip (python3 -m pip install openpyxl). 3) Review the included example JSON and outputs and always validate translations (especially for legal/regulated product claims). 4) The repository contains no network calls or hidden endpoints in the shipped scripts, but you can inspect the .py files yourself (they are short and readable) before use. If you need higher assurance, run the scripts on a sandbox machine or redact sensitive fields before passing them to the LLM.Like a lobster shell, security has layers — review code before you run it.
amazonvk9708jqaqemjv6xp80hy86z5fh83wmzcecommercevk97dmy6gp0n8tq2zm2xy5txgv183wtgpi18nvk9708jqaqemjv6xp80hy86z5fh83wmzclatestvk97b5qa651dqx98v9jxc0zf26x83wt3plistingvk9708jqaqemjv6xp80hy86z5fh83wmzcshopifyvk9708jqaqemjv6xp80hy86z5fh83wmzctranslationvk9708jqaqemjv6xp80hy86z5fh83wmzc
License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🌐 Clawdis
Binspython3