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 jakecyr · Agent Tool · ★ 85
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is openai-function-calling safe to install? View the security audit →
OpenAI Function Calling Helper functions to generate JSON schema dicts for OpenAI ChatGPT function calling requests. See the official Function Calling reference for more information. Installation Install from PyPi with: The openai-function-calling package does come with the openai package. It must be installed separately with Usage Auto-Infer the Function Definition (Beta) Automatically infer your function name, description, and parameters given a reference to the function. A instance is returned which can be converted to JSON schema with and then passed to the OpenAI chat completion API: python from typing import Any, Callable from openaifunctioncalling import FunctionInferrer import openai import json Define example functions. def getcurrentweather(location: str, unit: str = "fahrenheit") - str: """Get the current weather and return a summary.""" return f"It is currently sunny in {location} and 75 degrees {unit}." def gettomorrowsweather(locatio
| Stars | 85 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 71.1244049683451/100 |
| Last Updated | 2025-03-07 |
| Created | 2023-06-24 |
| Platforms | python |
| Est. Tokens | ~11k |
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openai-function-calling is Helper functions to generate JSON schema dicts for OpenAI ChatGPT function calling requests.. It is categorized as a Agent Tool with 85 GitHub stars.
openai-function-calling is primarily written in Python. It covers topics such as chatgpt, function-calling, machine-learning.
You can find installation instructions and usage details in the openai-function-calling GitHub repository at github.com/jakecyr/openai-function-calling. The project has 85 stars and 14 forks, indicating an active community.
The top alternatives to openai-function-calling on Agent Skills Hub include agent-builder, mcp-server, cai. 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.
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