by beatra-ai · Claude Skill · ★ 6
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 6 |
| Forks | 0 |
| Language | Python |
| Category | Claude Skill |
| License | MIT-0 |
| Quality Score | 70/100 |
| Last Updated | 2026-10-20 |
| Created | 2026-09-16 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~14k |
AI logo maker agent skill for Claude Code, Cursor, Codex, Windsurf, Cline & OpenClaw: turn a brand name, industry, or reference image into logo concepts, brand marks, and app icons with exact brand colors. AI Logo设计 · 品牌标识
Looking for a ai-logo-maker-skill alternative? If you're comparing ai-logo-maker-skill with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
OpenClaw/Claude Code SKILL.md for gpt-image-2 via Codex OAuth, no OPENAI_API_KEY required
教 Claude Code/Codex 真正用好 gpt-image-2 的 skill 包 · Drop-in skill teaching agents to actually use GPT Image 2 — i
Semantic Scholar API wrapper for agents — search 200M+ papers, traverse citations, find authors. Python, rate-
Open-source brand skills that turn an idea into a real brand — name, identity, voice & brand book — without le
90 specialist AI agents + 3 project-local extensions for Claude Code / Codex CLI / Antigravity CLI (agy). Anth
The open-source skill registry for AI coding agents. Create, manage, and distribute SKILL.md files across Open
Explore other popular claude skill tools:
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: