socai: Agent that actually understands social platforms. Fast. Precise. Deep

by socai-io · Codex Skill · ★ 253

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How to install socai

git clone https://github.com/socai-io/socai.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars253
Forks31
LanguageRust
CategoryCodex Skill
LicenseApache-2.0
Quality Score70/100
Open Issues23
Last Updated2026-11-04
Created2026-05-02
Platformsbrowser, claude-code, codex, rust
Est. Tokens~25k

About socai

socai English · 简体中文 · 日本語 · 한국어 A local agent that actually reads social media. Not a scraper. Not a reverse-engineered API. socai lives in the Chrome you already use, opens the real page, and comes back with results you want.

Compatible Skills

These tools work well together with socai for enhanced workflows:

  • bux — semantic(0.39)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • open-browser-use — semantic(0.38)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • browserable — semantic(0.31)+complementary+rare_topics+similar_pop+shared_platform (55%)
  • xa11y — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)

socai alternative? Top 6 similar tools

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

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  • open-computer-use by coasty-ai · ⭐ 763

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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