Speaker A
Someone packed 754 cybersecurity skills for AI agents into a single repo. So, I opened all 754 to see what your agent actually gets.
Explore 754 open-source cybersecurity skills for AI agents across 26 domains, including malware, forensics, Active Directory, cloud, and detection engineering.
Key Takeaways
- The repo offers comprehensive, practical cybersecurity playbooks for AI agents across multiple domains.
- Skills are well-documented with real commands and contextual usage, making them actionable runbooks.
- Progressive disclosure ensures efficient use by loading only relevant skills per task.
- The Anthropic branding is used for marketing but the content is independently developed and valuable.
- Users should focus on the domains relevant to their work rather than cloning all 754 skills.
Summary
- The repo contains 754 cybersecurity skills organized into 26 domains relevant to real security work.
- Each skill is a detailed playbook folder with commands, MITRE technique IDs, NIST tags, and usage guidance.
- Key domains include malware analysis, digital forensics, Active Directory attacks, cloud hardening, and detection engineering.
- Malware and forensics skills cover tasks like memory dump carving, unpacking samples, reversing binaries, and cracking Cobalt Strike beacons.
- Active Directory skills focus on hunting attacks, abusing certificate services, domain mapping, and auditing stale accounts.
- Cloud and container skills include Kubernetes lockdown, AWS config rules, container scanning, and GCP binary authorization enforcement.
- Detection engineering skills help catch process injection, tune network monitoring tools, and write queries for event logs.
- Skills use progressive disclosure, loading only relevant playbooks based on the agent's current task to manage scale.
- The repo is named Anthropic Cybersecurity Skills but is independent and not affiliated with Anthropic.
- The skill count is 754, though mapped techniques total over 3,000 due to multiple mappings per skill.
Full Transcript — Download SRT & Markdown
Speaker A
And it is not 754 prompt stubs. It is 26 domains of real security work. Malware analysis, digital forensics, active directory attacks, cloud hardening, detection engineering, mobile. Each skill is a folder. Each folder is a playbook your agent can follow. Let me
Speaker A
walk you through four corners of it. Start with malware and forensics, the deepest corner. There is a skill for carving a memory dump with Volatility, one for unpacking UPX packed samples, one for reversing Linux ELF binaries, and one for cracking a Cobalt Strike
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beacon. It knows the config is XOR encoded, stored as type length value in the .data section. Whoever wrote that has actually pulled beacon configs. Open one, and here is the shape. Clean front matter, MITRE technique IDs, NIST tags,
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when to use it. Then the part that matters, a do not use section, telling the agent when it is the wrong tool.
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Then real commands, vol3, pslist, then ps scan to catch the processes a rootkit unlinked. This is not filler, it is a runbook. Next corner, active directory.
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Where attackers actually live. Skills for hunting DC sync attacks, for abusing AD certificate services with the ESC1 technique, for mapping a domain with BloodHound, for auditing stale service accounts.
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Point your agent at a Windows network, and it has the playbook for red team and blue. Then cloud and containers, locking down Kubernetes, writing AWS config rules for compliance, scanning container images with Grype for known CVEs, enforcing GCP binary authorization so
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only signed images run, and hunting living off the cloud, attackers turning your own cloud APIs against you, and detection engineering, catching process injection with Sysmon mapped to technique T1055, tuning Suricata for the network, hunting with Zeek, writing Splunk queries
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against Windows event logs. Together, that is enough to stand up real SOC coverage, one skill per detection. So, how does your agent juggle 754 of these?
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It does not load them all. Skills use progressive disclosure. The agent reads each one-line description and only opens the full file when your task matches.
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Ask it to triage a memory dump and only the Volatility skill fires. The other 753 stay asleep. Two catches though. First, the name.
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It is called Anthropic Cybersecurity Skills. Anthropic did not make it. Scroll down and the readme admits it is independent, not affiliated. It is borrowing a billion-dollar brand for the search ranking. Second, the numbers.
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The readme maps every skill to five frameworks, then lists the per tactic counts. Add them up and you get over 3,000 from 754 skills. That is not fraud. One skill maps to many techniques, but it is a number built to be screenshotted. The
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real count is 754. The verdict, the skills are genuinely good. The wrapper is pure marketing. So, do not clone all 754.
Speaker A
Point your agent at the two or three domains you actually work in. Forensics or AD or cloud. As a playbook, it earns its place. The count is the marketing, the skills are the truth.
Speaker A
We open repos here every week. Subscribe if that is your thing.
Topics:cybersecurityAI agentopen-sourcemalware analysisdigital forensicsactive directory attackscloud securitydetection engineeringplaybooksAnthropic Cybersecurity Skills
