---
title: "Anthropic-Cybersecurity-Skills vs paig"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/mukul975-anthropic-cybersecurity-skills-vs-privacera-paig"
tools: ["mukul975-anthropic-cybersecurity-skills", "privacera-paig"]
---

# Anthropic-Cybersecurity-Skills vs paig

*GraphCanon updated Jul 15, 2026*

## Verdict

Pick Anthropic-Cybersecurity-Skills when anthropic-Cybersecurity-Skills is primarily Python; paig is CSS; pick paig when paig is primarily CSS; Anthropic-Cybersecurity-Skills is Python.

[Anthropic-Cybersecurity-Skills](https://mahipal.engineer/Anthropic-Cybersecurity-Skills/) reports 25k GitHub stars, 3.1k forks, and 35 open issues, last pushed Jun 26, 2026. [paig](https://paig.ai) has 213 stars, 220 forks, and 57 open issues, last pushed Aug 5, 2025. Figures are from public GitHub metadata via [Anthropic-Cybersecurity-Skills's repository](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) and [paig's repository](https://github.com/privacera/paig).

| | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [paig](/tools/privacera-paig.md) |
| --- | --- | --- |
| Tagline | 817 structured cybersecurity skills for AI agents | PAIG (Pronounced similar to paige or payj) is an open-source project designed to protect Generative AI (GenAI) applications by ensuring security, safety, and observability. |
| Stars | 25,282 | 213 |
| Forks | 3,060 | 220 |
| Open issues | 35 | 57 |
| Language | Python | CSS |
| Adopt for | Anthropic-Cybersecurity-Skills is a comprehensive repository of 817 structured cybersecurity skills mapped across six industry frameworks, making it highly versatile for various AI platforms and security needs. | - |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | AI Agents, Evaluation & Observability | Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [Anthropic-Cybersecurity-Skills](/tools/mukul975-anthropic-cybersecurity-skills.md) | [paig](/tools/privacera-paig.md) |
| --- | --- | --- |
| Maintenance | Active (82%) | Slowing (36%) |
| Days since push | 14d | 343d |
| Open issues (now) | 35 | 57 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust.md) | [trust report](/tools/privacera-paig/trust.md) |

## Decision facts: Anthropic-Cybersecurity-Skills

- **Pricing:** freemium - Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support.
- **Requirements:** Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use
- **Adopt for:** Anthropic-Cybersecurity-Skills is a comprehensive repository of 817 structured cybersecurity skills mapped across six industry frameworks, making it highly versatile for various AI platforms and security needs.

## Choose when

### Choose Anthropic-Cybersecurity-Skills if…

- Anthropic-Cybersecurity-Skills is primarily Python; paig is CSS.
- Pricing: Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support..
- Requirements: Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use.
- Tags unique to Anthropic-Cybersecurity-Skills: ai-agents, cybersecurity, mitre-attack, nist-csf.
- Also covers AI Agents.
- - Use when you require integration with multiple cybersecurity frameworks like MITRE ATT&CK, NIST CSF 2.0, and others, providing a robust foundation for skill-based operations.

### Choose paig if…

- paig is primarily CSS; Anthropic-Cybersecurity-Skills is Python.
- Tags unique to paig: compliance, css, genai, guardrails.

## When NOT to use Anthropic-Cybersecurity-Skills

- - Avoid if your project specifically requires skills mapped exclusively to a single framework not among the six supported by Anthropic-Cybersecurity-Skills.
- - Not suitable for projects that do not align with or benefit from the agentskills.io standard implementation, as it might limit customization options.

## When NOT to use paig

- Last GitHub push was 344 days ago (slowing maintenance, Aug 5, 2025). Validate activity before betting a new project on paig.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

## Common questions

### What is the difference between Anthropic-Cybersecurity-Skills and paig?

Anthropic-Cybersecurity-Skills: 817 structured cybersecurity skills for AI agents. paig: PAIG (Pronounced similar to paige or payj) is an open-source project designed to protect Generative AI (GenAI) applications by ensuring security, safety, and observability.. See the comparison table for live GitHub stats and shared categories.

### When should I choose Anthropic-Cybersecurity-Skills over paig?

Choose Anthropic-Cybersecurity-Skills over paig when Anthropic-Cybersecurity-Skills is primarily Python; paig is CSS; Pricing: Available under the Apache 2.0 license, ensuring free access and modification but without guaranteeing commercial support.; Requirements: Min 4 GB RAM; Supports integration with over 20 platforms including Claude Code and GitHub Copilot; Requires basic understanding of cybersecurity frameworks for optimal use; Tags unique to Anthropic-Cybersecurity-Skills: ai-agents, cybersecurity, mitre-attack, nist-csf; Also covers AI Agents; - Use when you require integration with multiple cybersecurity frameworks like MITRE ATT&CK, NIST CSF 2.0, and others, providing a robust foundation for skill-based operations.

### When should I choose paig over Anthropic-Cybersecurity-Skills?

Choose paig over Anthropic-Cybersecurity-Skills when paig is primarily CSS; Anthropic-Cybersecurity-Skills is Python; Tags unique to paig: compliance, css, genai, guardrails.

### When should I avoid Anthropic-Cybersecurity-Skills?

- Avoid if your project specifically requires skills mapped exclusively to a single framework not among the six supported by Anthropic-Cybersecurity-Skills. - Not suitable for projects that do not align with or benefit from the agentskills.io standard implementation, as it might limit customization options.

### When should I avoid paig?

Last GitHub push was 344 days ago (slowing maintenance, Aug 5, 2025). Validate activity before betting a new project on paig. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.

### Is Anthropic-Cybersecurity-Skills or paig more popular on GitHub?

Anthropic-Cybersecurity-Skills has more GitHub stars (25,282 vs 213). Stars measure visibility, not whether either tool fits your constraints.

### Are Anthropic-Cybersecurity-Skills and paig open source?

Yes - both are open-source projects on GitHub (Anthropic-Cybersecurity-Skills: Apache-2.0, paig: Apache-2.0).

### Where can I find alternatives to Anthropic-Cybersecurity-Skills or paig?

GraphCanon lists graph-backed alternatives at [Anthropic-Cybersecurity-Skills alternatives](/tools/mukul975-anthropic-cybersecurity-skills/alternatives) and [paig alternatives](/tools/privacera-paig/alternatives) ([Anthropic-Cybersecurity-Skills markdown twin](/tools/mukul975-anthropic-cybersecurity-skills/alternatives.md), [paig markdown twin](/tools/privacera-paig/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/mukul975-anthropic-cybersecurity-skills-vs-privacera-paig.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, Anthropic-Cybersecurity-Skills or paig?

Anthropic-Cybersecurity-Skills: Active. paig: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for Anthropic-Cybersecurity-Skills and paig?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Anthropic-Cybersecurity-Skills trust report](/tools/mukul975-anthropic-cybersecurity-skills/trust); [paig trust report](/tools/privacera-paig/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=mukul975-anthropic-cybersecurity-skills`](/api/graphcanon/graph?tool=mukul975-anthropic-cybersecurity-skills)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
