Comparison
pentest-ai vs agentic-awesome-skills
Verdict
Pick pentest-ai if pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Markdown twin · pentest-ai alternatives · agentic-awesome-skills alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | pentest-ai | agentic-awesome-skills |
|---|---|---|
| Maintenance | Active (21d since push) As of 1mo · github_public_v1 | Very active (0d since push) As of 6d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Personal account As of 6d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- pentest-ai
- Offensive-security MCP server with security tools and agents
- agentic-awesome-skills
- Library of agentic skills for various AI agents
Stars
- pentest-ai
- 1.4k
- agentic-awesome-skills
- 45k
Forks
- pentest-ai
- 286
- agentic-awesome-skills
- 6.6k
Open issues
- pentest-ai
- 2
- agentic-awesome-skills
- 12
Language
- pentest-ai
- Python
- agentic-awesome-skills
- Python
Adopt for
- pentest-ai
- Pentest-ai is an offensive-security platform featuring over 200 security tools and agents for various security tasks including exploit chaining and osint, licensed under MIT.
- agentic-awesome-skills
- Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Persona
- pentest-ai
- -
- agentic-awesome-skills
- -
Runtime
- pentest-ai
- -
- agentic-awesome-skills
- -
License
- pentest-ai
- MIT
- agentic-awesome-skills
- MIT
Last pushed
- pentest-ai
- Jul 5, 2026
- agentic-awesome-skills
- Aug 19, 2026
Categories
- pentest-ai
- AI Agents, Developer Tools
- agentic-awesome-skills
- AI Agents, Developer Tools
Trust and health
Maintenance
- pentest-ai
- Active (82%)
- agentic-awesome-skills
- Very active (96%)
Days since push
- pentest-ai
- 21d
- agentic-awesome-skills
- 0d
Open issues (now)
- pentest-ai
- 2
- agentic-awesome-skills
- 12
Stars delta
- pentest-ai
- Unknown
- agentic-awesome-skills
- +1.5k (30d)
Open issues delta
- pentest-ai
- Unknown
- agentic-awesome-skills
- +11 (30d)
OSV dependency advisories
- pentest-ai
- No lockfile (source not queried)
- agentic-awesome-skills
- No published findings from this source as of 2026-07-11
Full report
- pentest-ai
- Trust report
- agentic-awesome-skills
- Trust report
Choose pentest-ai if…
- Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security.
- pentest-ai ships Docker support for self-hosted deployment.
- When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents.
When NOT to use pentest-ai
- If your requirements do not include offensive-security capabilities or exploit chaining.
- When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations.
Choose agentic-awesome-skills if…
- Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills..
- Requirements: Min 2 GB RAM.
- Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools.
- - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.
When NOT to use agentic-awesome-skills
- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services.
- - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (0xSteph/pentest-ai) · observed Jul 27, 2026
- GitHub forks (0xSteph/pentest-ai) · observed Jul 27, 2026
- Last push (0xSteph/pentest-ai) · observed Jul 5, 2026
- License file (MIT) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- GitHub forks (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- Last push (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: pentest-ai 1.4k · agentic-awesome-skills 45k (synced Jul 27, 2026).
Common questions
- What is the difference between pentest-ai and agentic-awesome-skills?
- pentest-ai: Offensive-security MCP server with security tools and agents. agentic-awesome-skills: Library of agentic skills for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose pentest-ai over agentic-awesome-skills?
- Choose pentest-ai over agentic-awesome-skills when Tags unique to pentest-ai: cybersecurity, mcp, pentesting, security; pentest-ai ships Docker support for self-hosted deployment; When you need a comprehensive suite that includes more than 205 security tools and 17 specialist agents.
- When should I choose agentic-awesome-skills over pentest-ai?
- Choose agentic-awesome-skills over pentest-ai when Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.
- When should I avoid pentest-ai?
- If your requirements do not include offensive-security capabilities or exploit chaining. When you want to avoid MIT-licensed open-source code and prefer proprietary solutions without sharing obligations.
- When should I avoid agentic-awesome-skills?
- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.
- Is pentest-ai or agentic-awesome-skills more popular on GitHub?
- agentic-awesome-skills has more GitHub stars (45,139 vs 1,441). Stars measure visibility, not whether either tool fits your constraints.
- Are pentest-ai and agentic-awesome-skills open source?
- Yes - both are open-source projects on GitHub (pentest-ai: MIT, agentic-awesome-skills: MIT).
- Where can I find alternatives to pentest-ai or agentic-awesome-skills?
- GraphCanon lists graph-backed alternatives at pentest-ai alternatives and agentic-awesome-skills alternatives (pentest-ai markdown twin, agentic-awesome-skills markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, pentest-ai or agentic-awesome-skills?
- pentest-ai: Active. agentic-awesome-skills: Very active. 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 pentest-ai and agentic-awesome-skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: pentest-ai trust report; agentic-awesome-skills trust report.