TagForge — security grade SAFE, quality 52/100

Security audit verdict: SAFE · quality 52/100

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 SiliconeShojo · Agent Tool · ★ 68

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

🔒 Is TagForge safe to install? View the security audit →

About TagForge

The ultimate command center for AI prompting and tagging. Leverage modern LLMs to craft the perfect Stable Diffusion prompts in a sleek, high-performance desktop environment. [](https://aval

ai-agentsai-toolsavaloniaboorucaptioning-imagesdotnetgenerative-aillmprompt-engineeringprompts

Quick Facts

Stars68
Forks0
LanguageC#
CategoryAgent Tool
LicenseMIT
Quality Score52.344731833364/100
Last Updated2026-05-11
Created2026-01-23
Platformsdotnet
Est. Tokens~308k

Compatible Skills

These tools work well together with TagForge for enhanced workflows:

  • AISuperDomain — semantic(0.22)+complementary+rare_topics+same_lang+shared_platform (47%)

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Frequently Asked Questions

What is TagForge?

TagForge is Advanced AI tagging and prompt generation studio.. It is categorized as a Agent Tool with 68 GitHub stars.

What programming language is TagForge written in?

TagForge is primarily written in C#. It covers topics such as ai-agents, ai-tools, avalonia.

How do I install or use TagForge?

You can find installation instructions and usage details in the TagForge GitHub repository at github.com/SiliconeShojo/TagForge. The project has 68 stars and 0 forks, indicating an active community.

What license does TagForge use?

TagForge is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to TagForge?

The top alternatives to TagForge on Agent Skills Hub include claudepro-directory, cc-skills, Image-MetaHub. 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:

View on GitHub → Browse Agent Tool tools