SQL Report Generator
v1.0.1生成生产级SQL查询结果与图表报告，支持表格、矩阵、切片器、多格式导出及统计分析驱动的自动洞察建议。
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match included files: many dashboard templates, report-generation scripts, and an 'ai_insights' module that performs local statistical analysis. The requested resources (Python libs) align with the stated purpose; templates and examples all concern report/layout/chart generation.
Instruction Scope
SKILL.md instructs installing Python dependencies and running packaged Python modules to produce HTML/PDF/JSON reports and insights. The runtime instructions focus on report construction, exporting, and local analysis; they do not instruct the agent to read unrelated system files or send data to external endpoints. The SKILL.md even mandates review of outputs before delivery and forbids hand-writing insights for real data.
Install Mechanism
There is no formal install spec in the registry (instruction-only), and SKILL.md relies on a platform helper (skillhub_install) or pip. All source files are bundled in the skill. This is generally fine, but note the slight mismatch: requirements.txt omits 'scipy' while some examples and ai_insights.py import scipy.stats; SKILL.md lists scipy in manual install commands. You should install dependencies in a virtual environment and verify the dependency list before running.
Credentials
The skill requests no environment variables, credentials, or special config paths. The code imports common Python data libraries (pandas/numpy/matplotlib/jinja2/scipy) which are proportionate to data analysis and report generation.
Persistence & Privilege
Skill is not always-enabled and does not request platform privileges. It is user-invocable and can be run locally; nothing in the bundle attempts to persistently modify other skills or system-wide settings.
Assessment
This package appears coherent and self-contained for generating reports from local data. Before installing: (1) run in an isolated Python virtualenv, install the listed dependencies and add 'scipy' if missing; (2) review the full code (especially any truncated files) for network calls or telemetry before running on sensitive data; (3) follow SKILL.md's guidance to manually review generated HTML/PDF outputs (sanitization, PII exposure) before sharing; (4) if you plan to link this with other skills (sql-master, sql-dataviz), check those skills' credential requirements and network behaviours — this report generator itself does not request credentials.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.