ClawHub

Our world in data

v0.1.3

searches, retrieves, and summarizes content from Our World in Data using the `owid-catalog` Python module. Developed under Ubuntu. The developer would apprec...

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by@rachmann-alexander
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
The name/description match the SKILL.md: it documents use of the owid-catalog Python module to search, fetch, and summarize Our World in Data charts. No unrelated environment variables, binaries, or config paths are requested, and the actions described (search, fetch, summarize, include URL) are proportional to the stated purpose.
✓
Instruction Scope
SKILL.md contains concrete Python usage (client.charts.search, fetch, produce structured JSON) and error handling. It does not instruct the agent to read arbitrary files, access unrelated credentials, or exfiltrate data to unexpected endpoints. It does require searching in English and post-processing translations, and mandates disclosure of OWID as the source.
ℹ
Install Mechanism
There is no formal install spec in the registry, but the SKILL.md recommends running `pip install owid-catalog==1.0.0rc2`. This is a PyPI pre-release version (rc), which is moderate risk compared with stable releases: it requires network access and will write packages to disk. The skill does not declare that pip is required in metadata, so the environment may need pip/virtualenv to be present or an operator should install the package in a controlled environment.
✓
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate — fetching public OWID data does not require secrets.
✓
Persistence & Privilege
The skill is not marked always:true and does not request persistent elevated privileges or to modify other skills or system-wide agent settings. Normal autonomous invocation (disable-model-invocation:false) is the platform default and not a red flag here.
Assessment
This skill is coherent but you should: (1) install the owid-catalog package in a controlled environment (use a virtualenv or sandbox), because SKILL.md asks you to pip-install a pre-release version (1.0.0rc2) from PyPI; (2) review the package on PyPI/GitHub to confirm authorship and readme/changelog before trusting it; (3) ensure the runtime has pip/network access and that installing third-party packages is acceptable in your environment; (4) be aware the skill will query OWID's public API (subject to rate limits) and will return translated summaries if requested — verify translations for fidelity; and (5) if you require higher assurance, ask for a stable release (non-rc) or a pinned commit/OSS source link before installing.

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

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