head to head · open source

SkillSpector vs giskard-oss

SkillSpector has 17,624 GitHub stars, 1,504 forks, 136 open issues and last shipped yesterday. giskard-oss has 5,823 stars, 537 forks, 64 open issues and last shipped 2 days ago. SkillSpector leads on adoption by 203% (17,624 vs 5,823 stars). SkillSpector is written in Python under Apache-2.0; giskard-oss is written in Python under Apache-2.0. SkillSpector has attracted 9% as many forks as stars, giskard-oss 9%. SkillSpector was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-security), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

SkillSpector ★ 18K giskard-oss ★ 5.8K category AI & Machine Learning

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Side by side

SkillSpector giskard-oss
GitHub stars ★ 18K ★ 5.8K
License Apache-2.0 Apache-2.0
Written in Python Python
Last push 2026-09-17 2026-09-16
Forks ⑂ 1.5K ⑂ 537
Self-hosting Yes Yes
Data ownership Your server Your server

pick SkillSpector if

  • You weight community size — 18K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full SkillSpector profile →

pick giskard-oss if

  • You want the giskard-oss feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and giskard-oss fits your workflow better

full giskard-oss profile →

About SkillSpector

SkillSpector is an open source security scanner for AI agent skills that detects vulnerabilities, malicious patterns, prompt injection, data exfiltration, and supply chain risk in Claude Code, Codex CLI, Gemini CLI, and MCP skills before they are installed — built for developers who install agent skills and for security teams that vet or publish them.

read the full SkillSpector overview →

About giskard-oss

Giskard OSS is an open source Python library for evaluating, red teaming and testing LLM agents and RAG pipelines, built for developers, ML engineers and AI security teams that need reproducible checks on non deterministic systems.

read the full giskard-oss overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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Compare either of these against the rest of the AI Security & Privacy field.

SkillSpector vs strix SkillSpector vs shannon SkillSpector vs iFixAi SkillSpector vs codex-security SkillSpector vs garak SkillSpector vs AI-Infra-Guard SkillSpector vs Agentic-Bug-Hunter SkillSpector vs nono SkillSpector vs CyberStrike SkillSpector vs AiSOC SkillSpector vs pentest-ai-agents SkillSpector vs toolhive

Frequently asked questions

Is SkillSpector or giskard-oss more popular?

SkillSpector has 17,624 GitHub stars and giskard-oss has 5,823. SkillSpector has the larger community by that measure.

Are SkillSpector and giskard-oss free?

Both are open source. SkillSpector is licensed under Apache-2.0 and giskard-oss under Apache-2.0. Neither carries a licence fee.

What is the difference between SkillSpector and giskard-oss?

SkillSpector is written in Python and giskard-oss in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, SkillSpector or giskard-oss?

Choose SkillSpector if you want the larger community (17,624 stars) or its Apache-2.0 licence terms. Choose giskard-oss if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.