ReleaseBar — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

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 steipete · AI Tool · ★ 89

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

🔒 Is ReleaseBar safe to install? View the security audit →

About ReleaseBar

📦 ReleaseBar Release freshness dashboard for public GitHub users and orgs. ReleaseBar tracks public GitHub repository release health: latest version, release date, commits since release, activity, stars, language, topics, open work, CI status, and recent stargazer audience signals. It serves cached dashboards for routes like , , and . Owner dashboards show visible public repositories immediately with lightweight repo metadata, then progressively hydrate release, commit, PR, and CI data in the background. Configure Edit : : GitHub users or orgs to scan : include forked repositories : include archived repositories : include repositories without GitHub releases in static builds : full entries to hide : primary public dashboard domain Build Set for higher API limits. GitHub Actions uses the built-in token. Static builds read ; the public service reads owner routes through the Worker API. Generic Dashboards loads , a cached board built from recently requested public dashboards loads the Worker API for that owner groups day, week, or month public work by repository, ranked by activity volume, with AI summaries and cont

Quick Facts

Stars89
Forks13
LanguageTypeScript
CategoryAI Tool
LicenseMIT
Quality Score62.1500162448035/100
Last Updated2026-09-22
Created2026-05-14
Platformsnode
Est. Tokens~16k

Compatible Skills

These tools work well together with ReleaseBar for enhanced workflows:

  • mcp-chat — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • claude-session-dashboard — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

ReleaseBar alternative? Top 4 similar tools

Looking for a ReleaseBar alternative? If you're comparing ReleaseBar with other ai tool tools, these 4 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • SciToolAgent by HICAI-ZJU · ⭐ 416

    SciToolAgent: A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration

  • redesigned-pancake by Sfedfcv · ⭐ 266

    Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights

  • claude-code-voice-skill by abracadabra50 · ⭐ 169

    Skill to talk to Claude about your projects over the phone

  • maui-skills by davidortinau · ⭐ 163

    .NET MAUI skills for GitHub Copilot and Claude Code

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Frequently Asked Questions

What is ReleaseBar?

ReleaseBar is Release freshness dashboard for open source maintainers. It is categorized as a AI Tool with 89 GitHub stars.

What programming language is ReleaseBar written in?

ReleaseBar is primarily written in TypeScript.

How do I install or use ReleaseBar?

You can find installation instructions and usage details in the ReleaseBar GitHub repository at github.com/steipete/ReleaseBar. The project has 89 stars and 13 forks, indicating an active community.

What license does ReleaseBar use?

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

What are the best alternatives to ReleaseBar?

The top alternatives to ReleaseBar on Agent Skills Hub include SciToolAgent, redesigned-pancake, claude-code-voice-skill. 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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