backlink_skills — security grade SAFE, quality 66/100

Security audit verdict: SAFE · quality 66/100

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 flaqai · Codex Skill · ★ 733

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

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

About backlink_skills

Backlink Skills:用 Codex 管理外链提交与 SEO 内容生产 这是 Flaq AI 团队在实际产品推广过程中整理并持续维护的一套开源工作流,包含外链渠道清单、两种产品目录提交 Skill、通用 SEO 写作 Skill,以及面向 LinkedIn、Medium 和微信公众号的定制写作 Skill。 这个项目不是“一键群发外链”工具,也不承诺收录、Dofollow、流量或排名。我们希望分享的是一套更可复用的做法:让 Codex 先检查渠道,再按授权执行,遇到验证码时交给用户,提交后保留证据;需要内容时,再根据发布平台生成适合当地读者和规则的文章,而不是把同一篇 SEO 文案复制到所有网站。 语言: 简体中文(主文档) · English · 繁體中文 · 日本語 · 한국어 · ไทย · Tiếng Việt · Bahasa Indonesia · Español · Français · Deutsch · Italiano · Português · Русский · العربية · हिन्दी · [Türkçe](READMEt

backlinkscodexcodex-skillfree-backlinksfreebacklinksseoseo-optimizationseo-skillsseo-skills-for-ai-agentsseo-tools

Quick Facts

Stars733
Forks231
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score66.0125476266383/100
Open Issues3
Last Updated2026-09-24
Created2026-08-17
Platformsbrowser, codex, python
Est. Tokens~15k

Compatible Skills

These tools work well together with backlink_skills for enhanced workflows:

  • ultimate-seo-geo — semantic(0.51)+complementary+rare_topics+same_lang+similar_pop+shared_platform (77%)
  • seo-research-mcp — semantic(0.50)+complementary+rare_topics+same_lang+similar_pop+shared_platform (77%)
  • dataseo-mcp — semantic(0.50)+complementary+rare_topics+same_lang+similar_pop+shared_platform (77%)
  • screaming-frog-mcp — semantic(0.52)+complementary+rare_topics+same_lang+similar_pop+shared_platform (73%)

backlink_skills alternative? Top 6 similar tools

Looking for a backlink_skills alternative? If you're comparing backlink_skills 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.

  • Agentic-SEO-Skill by Bhanunamikaze · ⭐ 832

    An LLM-first SEO analysis skill for Antigravity, Codex, Claude with 16 specialized sub-skills, 10 specialist a

  • crawlseo by crawlseo · ⭐ 601

    Open-source SEO monitoring. GSC + Site Crawler + Core Web Vitals in one dashboard.

  • Seo-Promt-Master by umutxyp · ⭐ 538

    🔍 Google SEO's full docs as an AI prompt machine — drop it into your AI assistant to map every public route,

  • 7deer_skills by kennyzir · ⭐ 319

    Composable, auditable Agent Skills for building Roblox game sites—from opportunity and keyword research to con

  • distribb-skill by Bomx · ⭐ 197

    Distribb CLI, Claude, Codex, Hermes, OpenClaw skill for AI-powered SEO. Write content with your own AI, publis

  • dataseo-mcp by egebese · ⭐ 192

    A free SEO research tool using Model Context Protocol (MCP) powered by Ahrefs data. Get backlink analysis, key

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Frequently Asked Questions

What is backlink_skills?

backlink_skills is Awesome skills for submitting url to free websites. Get more backlinks for your website to get more traffic.. It is categorized as a Codex Skill with 733 GitHub stars.

What programming language is backlink_skills written in?

backlink_skills is primarily written in Python. It covers topics such as backlinks, codex, codex-skill.

How do I install or use backlink_skills?

You can find installation instructions and usage details in the backlink_skills GitHub repository at github.com/flaqai/backlink_skills. The project has 733 stars and 231 forks, indicating an active community.

What license does backlink_skills use?

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

What are the best alternatives to backlink_skills?

The top alternatives to backlink_skills on Agent Skills Hub include Agentic-SEO-Skill, crawlseo, Seo-Promt-Master. 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