Seal-Report — security grade SAFE, quality 57/100

Security audit verdict: SAFE · quality 57/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by ariacom · Agent Tool · ★ 1.6k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is Seal-Report safe to install? View the security audit →

About Seal-Report

Seal Report & Task Seal Report & Task is a complete open source framework for producing reports from any database or NoSQL source, and for performing complex tasks (ETL, batch). Entirely written in C# for Microsoft .NET, and free for everyone under the MIT License. The product focuses on easy installation and report design: once set up, reports can be built and published in a minute. Web site & quick start guides: sealreport.org Live demo of the Web Report Server: sealreport.org/demo Free support & community: GitHub Discussions Main Features Dynamic SQL sources: Use your own SQL, or let the Seal engine build the SQL used to query your database dynamically. LINQ queries: Join and query any data sources (SQL, Excel, XML, OLAP Cube, HTTP JSON, etc.) with the power of LINQ. Native Pivot Tables: Drag and drop elements directly in a pivot table (cross tab) and display them in your report. HTML5 Charts: Define and display chart series in two mouse clicks (support of ChartJS, ECharts, Plotly, ScottPlot and Gauge libraries). AI Agents: Chat with role-based AI agents to design reports, analyze data, manage data sources, schedule executions or administer the server — usin

ai-agentsai-toolsbusiness-intelligencechartdashboardsetlexcelhtml-reportlinqmongodb

Quick Facts

Stars1,637
Forks508
LanguageC#
CategoryAgent Tool
LicenseMIT
Quality Score57.2937437363544/100
Open Issues22
Last Updated2026-10-02
Created2015-08-11
Platformsdotnet
Est. Tokens~18k

Compatible Skills

These tools work well together with Seal-Report for enhanced workflows:

  • mcp-server-excel — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • mongodb-lens — semantic(0.19)+complementary+rare_topics+similar_pop (46%)
  • mongodb-mcp-server — semantic(0.19)+complementary+rare_topics+similar_pop (46%)

Seal-Report alternative? Top 6 similar tools

Looking for a Seal-Report alternative? If you're comparing Seal-Report with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is Seal-Report?

Seal-Report is Database Reporting Tool and Tasks (.Net). It is categorized as a Agent Tool with 1.6k GitHub stars.

What programming language is Seal-Report written in?

Seal-Report is primarily written in C#. It covers topics such as ai-agents, ai-tools, business-intelligence.

How do I install or use Seal-Report?

You can find installation instructions and usage details in the Seal-Report GitHub repository at github.com/ariacom/Seal-Report. The project has 1.6k stars and 508 forks, indicating an active community.

What license does Seal-Report use?

Seal-Report is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to Seal-Report?

The top alternatives to Seal-Report on Agent Skills Hub include whodb, dbhub, full-stack-ai-agent-template. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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