by killkli · Codex Skill · ★ 117
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/killkli/minimax-h3-colab-skill.gitTaken from the project's README on GitHub. Check the security audit before running it.
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 | 117 |
| Forks | 23 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 59/100 |
| Last Updated | 2026-10-17 |
| Created | 2026-09-26 |
| Platforms | codex, python |
| Est. Tokens | ~4k |
MiniMax H3 Colab Skill This repository is a standalone Codex skill for creating short MiniMax H3 Ref2VA videos from local reference images through Google Colab. It includes the skill instructions, the inference notebook, a Python runner, a shell launcher, an idempotent installer, and runner tests.
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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.
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