Pollen rapporten

v1.0.0

Fetch pollen forecasts for Swedish locations from Pollenrapporten (Swedish Museum of Natural History). Use when Boss asks about pollen levels, pollen forecas...

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byLauro@laurobrcwb
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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Benign
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Benign
high confidence
Purpose & Capability
Name/description match the implementation: the script loads a local region mapping and calls api.pollenrapporten.se to fetch forecasts and pollen-type metadata. Nothing in the manifest asks for unrelated credentials, binaries, or system access.
Instruction Scope
SKILL.md and the Python script limit actions to reading the included references/regions.json and performing HTTPS GETs to the declared API endpoints. There are no instructions to read arbitrary user files, environment secrets, or send data to unexpected endpoints. Note: SKILL.md examples reference $OPENCLAW_HOME for convenience, but the code uses a relative path and does not require that environment variable.
Install Mechanism
No install spec; the skill is instruction-plus-script only. No external downloads or package installs are performed by the skill.
Credentials
The skill declares no required environment variables or credentials and the code does not read sensitive env vars. Network access to the pollen API is required and is proportional to the stated function.
Persistence & Privilege
always is false and the skill does not attempt to modify agent/system configuration or other skills. It only runs as a user-invoked Python script when invoked.
Assessment
This skill is narrowly focused: it reads the included regions.json and performs HTTPS requests to api.pollenrapporten.se to produce readable forecasts. Before installing, ensure you are comfortable with a skill having outbound network access to that API (required to function). The SKILL.md uses $OPENCLAW_HOME in examples but the script uses a path relative to its file and does not require extra environment variables or credentials. If you need stronger assurance, review the included get_forecast.py yourself (it's small and readable) or run it in an isolated environment; otherwise it appears safe and coherent for its described 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.

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