by TheQtCompanyRnD · Claude Skill · ★ 489
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/plugin marketplace add TheQtCompanyRnD/agent-skills
npx skills add TheQtCompanyRnD/agent-skillsTaken from the project's README on GitHub.
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.
| Stars | 489 |
| Forks | 49 |
| Language | QML |
| Category | Claude Skill |
| Quality Score | 71/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-20 |
| Created | 2026-03-26 |
| Platforms | claude-code, codex, gemini |
| Est. Tokens | ~18k |
Qt AI Skills Official agentic skills for Qt software development and quality assurance, designed for use with AI coding tools such as Claude Code, Codex CLI, Gemini CLI, and GitHub Copilot. Skills have been tested with frontier LLMs from the Claude, Gemini, and GPT model families. There is no settled industry standard for AI skill packaging. Each platform has its own conventions.
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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: