ClawHub

SQL Dataviz

v1.0.1

Convert SQL query results into production-grade visual charts including bar, line, pie, map, KPI, AI insights, and interactive HTML dashboards with base64 PN...

⭐ 1· 88·0 current·0 all-time
by@sqlskills
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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Benign
high confidence
✓
Purpose & Capability
Name/description align with included code and docs: charts implementation, demo, installation instructions, and references all implement visualization features (matplotlib/seaborn/plotly/wordcloud optional). There are no unrelated credentials or binaries requested.
✓
Instruction Scope
SKILL.md confines actions to installing Python deps, running demo scripts, generating PNG/HTML charts, and optional integration with other 'sql-*' skills. It does not instruct reading unrelated system files, requiring credentials, or transmitting data to unknown remote endpoints. Degraded mode is explicit and scoped.
ℹ
Install Mechanism
There is no platform install spec embedded (instruction-only), but the bundle includes scripts/install_deps.sh and requirements.txt and asks users to run skillhub_install (platform installer) or pip. This is normal for Python skills; optional dependencies (geopandas, plotly, wordcloud, scipy) may require system libraries and larger downloads—review install_deps.sh and requirements.txt before running and use a virtualenv.
✓
Credentials
The skill declares no required environment variables, no credentials, and no special config paths. The code and docs likewise don't reference secrets or external tokens. Optional features mention services (ArcGIS, Azure maps) only in the context of supported visual types, but no credentials are required by default.
✓
Persistence & Privilege
Skill flags: always=false and normal autonomous invocation allowed (platform default). The skill writes output/cache files as expected for a visualization tool (cache/ and output/ examples) but does not request permanent system-wide privileges or modify other skills' configurations.
Assessment
This package appears coherent and implements visualization features as described. Before installing: (1) Inspect scripts/install_deps.sh and requirements.txt and run inside a Python virtualenv or container to avoid polluting system packages. (2) Optional dependencies (geopandas, plotly, wordcloud, scipy) can require extra system libraries—only install what you need. (3) Review demo.py and any code that writes to disk so you know where cache/output files will be placed (examples use cache/ and output/). (4) If you plan to use interactive HTML/Canvas templates, note they may load external CDN resources (Chart.js) or require network access. (5) The repository uses placeholder support/contact links (example.com) — treat them as non-authoritative. Overall the skill is internally consistent; standard operational caution (run in isolated environment and review install scripts) is recommended.

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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