giselle — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

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 giselles-ai · Agent Tool · ★ 554

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About giselle

the AI agent studio powering product delivery <img alt="Giselle - Build and run AI workflows. Open source. | Product Hunt" width="250" height="54" src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?postid=924550&amp;

agentagent-builderagentic-aiaiai-agentai-agentsanthropicgeminigenaigenerative-ai

Quick Facts

Stars554
Forks124
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score59.8221988569253/100
Last Updated2026-09-01
Created2024-08-21
Platformsgemini, node
Est. Tokens~15k

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Frequently Asked Questions

What is giselle?

giselle is Giselle: AI App Builder. Open Source.. It is categorized as a Agent Tool with 554 GitHub stars.

What programming language is giselle written in?

giselle is primarily written in TypeScript. It covers topics such as agent, agent-builder, agentic-ai.

How do I install or use giselle?

You can find installation instructions and usage details in the giselle GitHub repository at github.com/giselles-ai/giselle. The project has 554 stars and 124 forks, indicating an active community.

What license does giselle use?

giselle is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to giselle?

The top alternatives to giselle on Agent Skills Hub include agents, better-chatbot, flock. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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