by svd-ai-lab · Codex Skill · ★ 73
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uv add sim-cli-core sim-plugin-comsol
git clone https://github.com/svd-ai-lab/sim-plugin-comsolTaken 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 | 73 |
| Forks | 12 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 67/100 |
| Last Updated | 2026-10-19 |
| Created | 2026-04-27 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~14k |
sim-plugin-comsol Use Codex, Claude Code, or another AI agent to work with COMSOL Multiphysics models from the workflow you already use. gives an agent practical COMSOL control paths: inspect saved files, search local COMSOL documentation, run saved models through , compile settled Java recipes with , build or modify models through the COMSOL Java API, and work through a shared visible COMSOL...
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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: