by christo-olivier · Agent Tool · ★ 82
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pip install modelsmithTaken 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 | 82 |
| Forks | 6 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 61/100 |
| Last Updated | 2025-09-13 |
| Created | 2024-03-22 |
| Platforms | claude-code, python |
| Est. Tokens | ~73k |
Modelsmith Modelsmith is a Python library that allows you to get structured responses in the form of Pydantic models and Python types from Anthropic, Google Gemini, and OpenAI models. Currently it allows you to use the following classes of model: AnthropicModel (used with Anthropic's full set of models) OpenAIModel (used with OpenAI's full set of models) GeminiModel (used with Google's full set...
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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: