marketing-dashboard — security grade SAFE, quality 74/100

Security audit verdict: SAFE · quality 74/100

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 builderz-labs · Codex Skill · ★ 469

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

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About marketing-dashboard

Makreting Dashboard The open-source marketing operations control center for AI agent teams. Run CRM, outreach, content, analytics, and automation workflows from one dashboard, powered by OpenClaw + SQLite. Alpha Software — Hermes Dashboard is under active development. APIs, data models, and configuration behavior can change between releases. Why Hermes Dashboard? Hermes is built for operator-led AI marketing systems where you need execution visibility and control, not disconnected tools. Marketing system in one place — CRM, outreach, content ops, analytics, experiments, and automations OpenClaw-native operations — Dynamic agent/squad discovery, cron templates, workspace and comms surfaces Local-first stack — Next.js + SQLite, no required external infra to run locally Secure-by-default template posture — Session

ai-agentsanalyticscrmmarketing-opsnextjsopenclawoutreachsqlitetypescript

Quick Facts

Stars469
Forks17
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score73.8024506998878/100
Open Issues2
Last Updated2026-09-22
Created2026-02-13
Platformsnode
Est. Tokens~15k

Compatible Skills

These tools work well together with marketing-dashboard for enhanced workflows:

  • stats-store — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • refref — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • ClawRecipes — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (50%)

marketing-dashboard alternative? Top 6 similar tools

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

  • giselle by giselles-ai · ⭐ 554

    Giselle: AI App Builder. Open Source.

  • weam by weam-ai · ⭐ 220

    Web app for teams of 20+ members. In-built connections to major LLMs via API. Share chats, prompts, and agents

  • meridian by markmdev · ⭐ 185

    Zero-config Claude Code setup with enforced task scaffolding, structured memory, persistent context after comp

  • anyquery by julien040 · ⭐ 1.8k

    One SQL interface for 60+ tools (e.g., GitHub, Notion, Airtable). Plug into any LLM through MCP.

  • relaticle by relaticle · ⭐ 1.7k

    Open-source CRM with native AI agent support. 37 MCP tools, REST API, self-hosted. Built with Laravel & Filame

  • llmgateway by theopenco · ⭐ 1.7k

    Route, manage, and analyze your LLM requests across multiple providers with a unified API interface.

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Frequently Asked Questions

What is marketing-dashboard?

marketing-dashboard is Local-first marketing operations control center for CRM, outreach, content, analytics, approvals, automations, and agent workflows.. It is categorized as a Codex Skill with 469 GitHub stars.

What programming language is marketing-dashboard written in?

marketing-dashboard is primarily written in TypeScript. It covers topics such as ai-agents, analytics, crm.

How do I install or use marketing-dashboard?

You can find installation instructions and usage details in the marketing-dashboard GitHub repository at github.com/builderz-labs/marketing-dashboard. The project has 469 stars and 17 forks, indicating an active community.

What license does marketing-dashboard use?

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

What are the best alternatives to marketing-dashboard?

The top alternatives to marketing-dashboard on Agent Skills Hub include giselle, weam, meridian. 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:

View on GitHub → Browse Codex Skill tools