generate-article-cover-image: 使用 Codex + GPT Image 2 直接复制文章内容生成Anthropic 的极简美学封面图

by aehyok · Codex Skill · ★ 16

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Security audit verdict: SAFE · quality 58/100

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. Full audit →

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.

Quick Facts

Stars16
Forks2
LanguagePython
CategoryCodex Skill
Quality Score58/100
Last Updated2026-08-05
Created2026-08-03
Platformscodex, python
Est. Tokens~14k

About generate-article-cover-image

使用 Codex + GPT Image 2 直接复制文章内容生成Anthropic 的极简美学封面图

Compatible Skills

These tools work well together with generate-article-cover-image for enhanced workflows:

  • image-gen-mcp — semantic(0.46)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (82%)
  • ecommerce-image-skills — semantic(0.50)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (75%)
  • codex-gpt-image — semantic(0.48)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (75%)

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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:

View on GitHub → Browse Codex Skill tools