ClawHub

Data Analysis

v1.0.2

Data analysis and visualization. Query databases, generate reports, automate spreadsheets, and turn raw data into clear, actionable insights. Use when (1) yo...

⭐ 82· 24.5k·299 current·313 all-time
byIván@ivangdavila
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
The name and description (data analysis, visualization, SQL/Python/spreadsheets guidance) match the included SKILL.md and supporting documents. The skill requests no binaries, env vars, or config paths—consistent with a purely advisory/reference skill.
✓
Instruction Scope
SKILL.md contains methodology, checklists, and references to bundled docs (chart-selection.md, techniques.md, etc.). It does not instruct the agent to read system files, access credentials, call external endpoints, or persist state. All runtime guidance is limited to analytical process and output formatting.
✓
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing will be downloaded or written to disk during install, which is low-risk and proportional to the skill's purpose.
✓
Credentials
The skill declares no required environment variables, no credentials, and no configuration paths. This is appropriate for a documentation/methodology skill that doesn't integrate directly with external services.
✓
Persistence & Privilege
always is false and the skill is user-invocable. disable-model-invocation is false (allowing autonomous invocation), which is the platform default; given the skill has no external access or credentials, this does not materially increase risk here.
Assessment
This skill is a packaged set of best-practice instructions and templates for analysis and visualization — it does not itself connect to data sources or request credentials. Before using it in a context where you provide data or grant access, verify any connectors or tools you (or the agent) use to run queries: only give database or spreadsheet credentials to trusted tools and avoid pasting sensitive data into free-text prompts. Treat the outputs as methodological guidance (review results, check metric contracts, and confirm owners) rather than an authoritative automated action.

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

D Clawdis
OSLinux · macOS · Windows

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