ClawHub

Weather TV style

v1.0.2

Generate a TV-style weather infographic with a location-specific seasonal background. Use when the user asks for a visual weather forecast or a weather infographic for a specific address.

⭐ 5· 1.8k·1 current·1 all-time
by@silverkiwi
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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high confidence
✓
Purpose & Capability
Name/description, SKILL.md, and the included Python script all focus on: fetching weather from Open-Meteo, generating a seasonal background and final image via Google's Gemini image API, and writing an output image. The single required env var (GEMINI_API_KEY) is appropriate for the stated image-generation purpose.
✓
Instruction Scope
Runtime instructions and the script only fetch weather from Open-Meteo, call the Gemini image generation API, and write a single output file. The script requires address/lat/lon inputs (which are sent to Gemini as prompt context) but does not read unrelated files, other environment variables, or system credentials.
✓
Install Mechanism
No packaged install spec is required; SKILL.md suggests installing google-generativeai and requests via pip which matches the script imports. This is a standard, proportionate dependency list for the task.
✓
Credentials
Only GEMINI_API_KEY is required and is used for the image-generation client. No unrelated secrets or multiple credentials are requested. The script does not access other env vars or config paths.
✓
Persistence & Privilege
Skill is not always-enabled (always: false) and does not request system-wide configuration changes or long-lived privileges. It is user-invocable and can be invoked by the agent as normal.
Assessment
This skill appears internally consistent, but consider these practical cautions before installing: - GEMINI_API_KEY: The script sends prompts (including the address you provide) to Google’s Gemini API using this key — ensure you trust the key and are comfortable sending any PII (addresses) to the image service. Monitor API usage and costs. - Output file: The script writes a binary image to the provided output path. Avoid pointing it at sensitive system paths to prevent accidental overwrite. - Dependencies: SKILL.md suggests pip installing google-generativeai and requests; review the packages and install them in a virtualenv to limit system impact. - Privacy: If you or your users supply private addresses, those addresses and the generated weather data will be included in prompts sent to an external model. If these tradeoffs are acceptable, the skill looks coherent with its stated purpose.

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.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

📺 Clawdis
EnvGEMINI_API_KEY

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