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Our world in data
by
rachmann-alexander
· GitHub ↗
· v0.1.3
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Install in OpenClaw
/install owid-oc
Description
searches, retrieves, and summarizes content from Our World in Data using the `owid-catalog` Python module. Developed under Ubuntu. The developer would apprec...
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill
Name: owid-oc
Version: 0.1.3
The skill bundle is designed to interact with Our World in Data using the `owid-catalog` Python module. All instructions in `SKILL.md` are focused on the stated purpose of searching, retrieving, and summarizing data, with clear guidance for the AI agent on transparency and post-processing. There is no evidence of malicious intent, data exfiltration, unauthorized execution, persistence mechanisms, or prompt injection attempts against the agent. The use of a release candidate version (`1.0.0rc2`) for the `owid-catalog` dependency is noted but does not indicate malice.
Capability Assessment
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.
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install owid-oc - After installation, invoke the skill by name or use
/owid-oc - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.3
- Removed requirement to check and announce newer owid-catalog versions on each invocation.
- Updated documentation to no longer instruct users to notify about newer owid-catalog releases.
- No functional or code changes; content transparency and attribution practices remain.
- Version updated from 0.1.2 to 0.1.3.
v0.1.2
- Updated skill name and functionality from Wikipedia (wikipedia-oc) to Our World in Data (owid-oc), now using the owid-catalog Python module.
- Replaced SKILL.md file content to reflect searching, retrieving, and summarizing data from OWID charts instead of Wikipedia articles.
- Added installation, version-checking, and client initialization instructions for owid-catalog.
- Detailed new search, retrieval, error handling, and structured output practices for OWID chart data.
- Outlined new language policy and post-processing requirements for OWID content.
- Removed all Wikipedia-related documentation and replaced it with corresponding OWID guidance.
v0.1.4
- Skill renamed from "owid-oc" (Our World in Data) to "wikipedia-oc" (English Wikipedia).
- Now searches, retrieves, and summarizes content from English Wikipedia using the `wikipedia` Python module instead of OWID data.
- Version updated to 0.1.4.
- All searches explicitly performed in English Wikipedia for consistency.
- Skill usage disclosure and update notification best practices added.
- Example code and error handling revised for Wikipedia queries.
v0.1.0
- Initial release of the OWID-OC skill for retrieving and summarizing content from Our World in Data using the `owid-catalog` Python module.
- Supports chart search, selection, data retrieval, and structured summary output.
- Includes guidance for error handling and recommended best practices.
- Encourages searches in English and post-processing translation to the user's language when necessary.
- Mandates transparency by always attributing information to OWID (Our World in Data).
- Provides installation, initialization, and example workflow instructions.
Metadata
Frequently Asked Questions
What is Our world in data?
searches, retrieves, and summarizes content from Our World in Data using the `owid-catalog` Python module. Developed under Ubuntu. The developer would apprec... It is an AI Agent Skill for Claude Code / OpenClaw, with 732 downloads so far.
How do I install Our world in data?
Run "/install owid-oc" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Our world in data free?
Yes, Our world in data is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Our world in data support?
Our world in data is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Our world in data?
It is built and maintained by rachmann-alexander (@rachmann-alexander); the current version is v0.1.3.
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