No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by rizerphe · Agent Tool · ★ 435
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is local-llm-function-calling safe to install? View the security audit →
Local LLM function calling Overview The project is designed to constrain the generation of Hugging Face text generation models by enforcing a JSON schema and facilitating the formulation of prompts for function calls, similar to OpenAI's function calling feature, but actually enforcing the schema unlike OpenAI. The project provides a class that allows users to easily generate text while ensuring compliance with the provided prompt and JSON schema. By utilizing the library, users can conveniently control the output of text generation models. It uses my own quickly sketched project as the enforcer. Features Constrains the generation of Hugging Face text generation models to follow a JSON schema. Provides a mechanism for formulating prompts for function calls, enabling precise data extraction and formatting. Simplifies the text generation process through a user-friendly class. Installation To install the library, use the following command: shell pi
| Stars | 435 |
| Forks | 41 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 75.1401802041233/100 |
| Open Issues | 6 |
| Last Updated | 2024-03-12 |
| Created | 2023-06-27 |
| Platforms | python |
| Est. Tokens | ~11k |
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local-llm-function-calling is A tool for generating function arguments and choosing what function to call with local LLMs. It is categorized as a Agent Tool with 435 GitHub stars.
local-llm-function-calling is primarily written in Python. It covers topics such as chatgpt-functions, huggingface-transformers, json-schema.
You can find installation instructions and usage details in the local-llm-function-calling GitHub repository at github.com/rizerphe/local-llm-function-calling. The project has 435 stars and 41 forks, indicating an active community.
local-llm-function-calling is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to local-llm-function-calling on Agent Skills Hub include Toolio, awesome-hacking-lists, awesome-hosting. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: