Anthropic Cybersecurity Skills
Open-source library of 817 structured cybersecurity skill files your AI coding agent loads on demand, mapped to MITRE ATT&CK and licensed Apache 2.0.
If you already run an AI agent for security work, this library is a free shortcut past writing playbooks from scratch. The MITRE ATT&CK, NIST CSF 2.0, ATLAS, D3FEND and NIST AI RMF mappings plus the ~40-token progressive-disclosure frontmatter make it practical to run against real DFIR, cloud, and red-team tasks without burning your context budget. Claude Code users get the smoothest path via `/plugin marketplace add`. But it is a community project with no official Anthropic backing, no GUI, and no vendor support contract. If you need SLAs, a managed console or someone accountable on the other end of a ticket, look at CrowdStrike Falcon Complete, SentinelOne or a commercial playbook suite
Verified 1d ago · liveness 69/100 · cite: rightaichoice.com/tools/anthropic-cybersecurity-skills
- Security engineers automating incident response and DFIR with agents they already run
- Penetration testers doing red teaming and Active Directory attack workflows through an agent
- Cloud security teams running S3 and misconfiguration audits
- Threat hunters who want structured, agent-readable playbooks instead of ad-hoc prompts
- Beginners without a cybersecurity background — the skills assume real operator knowledge of tools and commands
- Teams that need a graphical interface — the library is CLI and Markdown only
- Organizations requiring vendor support, SLAs, or official Anthropic backing
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Anthropic Cybersecurity Skills if you need a supported product with an SLA, a graphical console, or an accountable vendor behind it — this is a free community Markdown library with none of those.
Every skill assumes its tooling is already installed — Volatility3, AWS CLI, Impacket, jq, hashcat and Python 3.8+ are on you, and a missing prerequisite means a failed run mid-incident.
There is no cost to use this library — it is Apache 2.0 and free, so it undercuts every commercial playbook suite and managed detection service on price by definition. The trade is that CrowdStrike Falcon Complete, SentinelOne and paid playbook platforms charge real money because they bundle SLAs, a console and accountable humans; you get none of that here. Budget the difference in engineer hours instead of licence fees.
In short
Anthropic Cybersecurity Skills — Open-source library of 817 structured cybersecurity skill files your AI coding agent loads on demand, mapped to MITRE ATT&CK and licensed Apache 2.0. Best for Security engineers automating incident response and DFIR with agents they already run, Penetration testers doing red teaming and Active Directory attack workflows through an agent, Cloud security teams running S3 and misconfiguration audits. Free to use.
What people actually say about Anthropic Cybersecurity Skills — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
17 mentions across 5 sources (Hacker News, YouTube, Product Hunt, GitHub, Lemmy) · researched Sep 14, 2026.
Weighted by the 18 posts each of 5 sources contributed.
- +817 skills across 29 security domains, including serious depth in cloud (60) and threat hunting (55)
- +Every skill carries MITRE ATT&CK technique IDs; many map to NIST CSF 2.0 and ATLAS
- +Progressive disclosure keeps token cost low — ~40-token frontmatter before full workflow body loads
- +Works with Claude Code, Copilot, Cursor, Codex CLI, and 20+ Markdown-reading agents
- +Apache 2.0 and free, with no vendor lock-in and no account required
- −Zero published field reports of the library used in a production SOC
- −Skill counts shift between videos (753 → 754 → 817), complicating versioning and audits
- −One open GitHub issue (Sept 2026) cites incomplete refs and incorrect ATT&CK mappings
- −Requires intermediate agent-config skills; beginners will struggle to wire it up
- −No GUI, no dashboard, no vendor support channel — CLI and GitHub issues only
- • Your underlying model subscription (Claude Pro/Max, Copilot, Cursor, Codex, etc.) is the real cost
- • Time cost of reviewing community-authored skills, especially where mappings may be incorrect
- • Potential engineering time if a skill fails and you must debug or replace it yourself
- • No official support — open GitHub issues are the only escalation path
Viability Score
How well maintained and how widely used is Anthropic Cybersecurity Skills? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- 817 structured cybersecurity skills across 29 domains (June 25, 2026 community count)
- Progressive disclosure: ~40-token YAML frontmatter read first, full workflow body loaded only on match
- MITRE ATT&CK technique IDs referenced in every skill
- Maps to NIST CSF 2.0, MITRE ATLAS, D3FEND and NIST AI RMF where applicable
- CVE references included where relevant
- Each skill carries prerequisites, exact CLI commands, workflow steps and verification checks
- Cloud Security: 60 skills; Threat Hunting: 55; Threat Intelligence: 50; Web App Security: 42
- Network Security: 40; Malware Analysis: 39; Digital Forensics: 37; Security Operations: 36
- Identity & Access: 35; SOC Operations: 33; Container Security: 30; OT/ICS Security: 28; API Security: 28
- Incident Response: 25; Vulnerability Management: 25; Red Teaming: 24; Penetration Testing: 23
- DevSecOps: 17; Endpoint Security: 17; Phishing Defense: 16
- Works with Claude Code, GitHub Copilot, Cursor, Gemini CLI, OpenAI Codex CLI, Amp, Windsurf, Aider, Continue, Goose, Zed, Cline, Void, Cody, Kodu and 20+ platforms
- Install via npx (`npx skills add mukul975/Anthropic-Cybersecurity-Skills`), git clone, or manual copy into the agent skills directory
- Claude Code plugin marketplace install: `/plugin marketplace add mukul975/Anthropic-Cybersecurity-Skills`
- Apache 2.0 license, agentskills.io standard compatible, Markdown/CLI only with no graphical interface
About Anthropic Cybersecurity Skills
Anthropic Cybersecurity Skills is a community-run, open-source library of structured operational cybersecurity playbooks written as Markdown skill files that your AI agent reads on demand. The most recent community reporting (June 25, 2026) puts it at 817 skills across 29 security domains, up from 754 skills across 26 domains on June 20, 2026 — so treat any count you see as a moving target and check the repository. Coverage spans digital forensics and incident response, cloud security, threat hunting, threat intelligence, web app security, network security, malware analysis, SOC operations, identity and access, container security, OT/ICS, API security, red teaming, penetration testing, DevSecOps, endpoint security, and phishing defense. It follows the agentskills.io standard and a progressive-disclosure pattern: the agent reads only the roughly 40-token YAML frontmatter (name, description, domain, tags) to judge relevance, then loads the full workflow body only when the skill matches. Each skill carries prerequisites, exact CLI commands, step-by-step workflow steps, and verification checks, and references MITRE ATT&CK technique IDs plus mappings to NIST CSF 2.0, MITRE ATLAS, D3FEND, and NIST AI RMF where applicable, with CVE references where relevant. It is not a standalone product or dashboard — it is a set of Markdown files that drops into the agent you already use, including Claude Code, GitHub Copilot, Cursor, Gemini CLI, OpenAI Codex CLI, Amp, Windsurf, Aider, Continue, Goose, Zed, Cline, Void, Cody, Kodu and others that read structured Markdown. Install via npx (Node.js 18+ required), the Claude Code plugin marketplace, git clone, or manual copy. Licensed Apache 2.0, free to use, maintained by the community, and not affiliated with Anthropic PBC. The project was featured at Black Hat USA 2026 Arsenal Lab.
Behind the Verdict
The interesting thing about this library is not its size, it is its shape. Most 'security for AI' releases are either a dashboard with a model stapled on, or a prompt pack that falls apart the moment a task has more than four steps. This is neither: it is a corpus of operational procedures written the way a working analyst would write them for a colleague — prerequisites first, exact CLI invocations, ordered steps, and a verification check at the end. The progressive-disclosure design is the part that deserves credit. Because the agent only reads the ~40-token YAML frontmatter until a skill matches the task, you can keep hundreds of playbooks installed without paying a context tax on the ones you never invoke; that is a meaningful engineering decision, not a marketing line. The framework mappings (MITRE ATT&CK technique IDs in every skill, plus NIST CSF 2.0, MITRE ATLAS, D3FEND and NIST AI RMF where applicable) do real work too — they give you a path from an agent's output to the language your compliance team already uses. Worked examples are concrete rather than hand-wavy: memory forensics with Volatility3 (OS profile, windows.pslist, windows.malfind for injected code), AWS S3 bucket auditing with the AWS CLI and jq, and Kerberoasting with Impacket's GetUserSPNs.py followed by hashcat -m 13100. Where it strains: the skills assume you know the underlying tooling, so a junior analyst who has never run Volatility3 will get a plausible-looking sequence of commands and no feel for whether the output is right. The install experience is also uneven across agents — Claude Code has a first-class marketplace flow, while most other platforms mean a git clone and manual placement into the right skills directory. There is no graphical interface at all, and the project is explicitly not affiliated with Anthropic PBC, which matters if anyone in your procurement chain sees the name and assumes a vendor contract sits behind it. Coverage counts move fast (754 skills/26 domains on June 20, 817 skills/29 domains by June 25), so pin a commit if reproducibility matters to you. Best fit: a security engineer or pentester who already drives Claude Code, Copilot or Cursor daily and wants structured, framework-mapped playbooks on top. Worst fit: teams needing a supported product with an SLA, or anyone without the operator background to judge when a generated command sequence is wrong.
Researching Anthropic Cybersecurity Skills? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Anthropic Cybersecurity Skills actually fits — and what changes day-one when you adopt it.
A suspected compromise lands at 2am. You point Claude Code at the memory dump and invoke the memory-forensics skill, which walks through identifying the OS profile, running windows.pslist, and detecting injected code with windows.malfind, then a verification check before you write anything up.
Outcome: A documented, repeatable forensic sequence in minutes rather than an improvised set of commands, with MITRE ATT&CK IDs already attached for the incident report.
Quarterly AWS review. You load the S3 bucket security audit skill and let the agent enumerate buckets, check public access settings, and audit bucket policies and ACLs against your configured AWS CLI profile, with jq shaping the output.
Outcome: A misconfiguration list mapped to NIST CSF 2.0 language you can hand straight to compliance, without writing the audit script from scratch.
You have valid domain credentials and need to escalate. The Kerberoasting skill steps through GetUserSPNs.py to enumerate SPNs and request service tickets, then hands off to hashcat -m 13100 for offline cracking.
Outcome: Attack path documented step by step with the exact commands, so the report writes itself and a colleague can reproduce the finding.
Use Cases
- Automate memory forensics with Volatility3 — identify the OS profile, run windows.pslist, and detect injected code via windows.malfind
- Audit AWS S3 buckets for public exposure, encryption gaps and misconfigured policies using the AWS CLI and jq
- Execute Kerberoasting with Impacket (GetUserSPNs.py) during internal pentests and crack tickets with hashcat -m 13100
- Run structured network threat hunting playbooks with an AI agent following documented steps
- Map security findings to MITRE ATT&CK and NIST CSF 2.0 for compliance reporting
- Load domain-specific skills into Claude Code via the plugin marketplace for in-editor security assistance
- Conduct container security audits and vulnerability management with agent-readable workflows
- Respond to incidents with structured DFIR skills covering evidence collection and verification
Limitations
- The name is misleading: this is a community-maintained library, not affiliated with Anthropic PBC, so there is no vendor support contract or SLA behind it.
- Skills assume you already know the underlying tooling — many require Volatility3, AWS CLI, Impacket, jq, Python 3.8+ or hashcat installed separately, and a skill will fail if its prerequisites are missing.
- The npx install path needs Node.js 18+.
- There is no graphical interface; everything is Markdown and CLI.
- Onboarding differs by platform — Claude Code has a first-class plugin marketplace flow while other agents need a git clone or manual placement into the right skills directory.
- Counts move quickly (754 skills/26 domains on June 20, 817 skills/29 domains by June 25, 2026), so verify the current number against the repository rather than any cached snapshot, and pin a commit if reproducibility matters.
as of 2026-10-10
Verification history
We have re-verified Anthropic Cybersecurity Skills 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Anthropic Cybersecurity Skills's pricing actually pencils out — and where peers do it cheaper.
There is no cost to use this library — it is Apache 2.0 and free, so it undercuts every commercial playbook suite and managed detection service on price by definition. The trade is that CrowdStrike Falcon Complete, SentinelOne and paid playbook platforms charge real money because they bundle SLAs, a console and accountable humans; you get none of that here. Budget the difference in engineer hours instead of licence fees.
Setup time & first value
How long it actually takes to get something useful out of Anthropic Cybersecurity Skills — broken out by persona, not the marketing-page minute.
Claude Code users: about five minutes to first value — run `/plugin marketplace add mukul975/Anthropic-Cybersecurity-Skills` and the skills are available in-session. Everyone else: 15–30 minutes for a git clone or npx install, placement into the correct agent skills directory, and a check that Node.js 18+ or Python 3.8+ prerequisites are present. Add more time on any machine where Volatility3,
Switching to or from Anthropic Cybersecurity Skills
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ad-hoc prompt libraries: move your recurring prompts into SKILL.md files with YAML frontmatter so the agent only loads them on a relevance match.
- →From a private runbook wiki: convert the ordered steps into skill workflows with prerequisites and a verification check appended to each.
- →From commercial playbook suites: keep the licensed console for SLA-bound response, and install this library alongside it for agent-driven execution of the same procedures.
- →From no playbook layer at all: start with one high-frequency domain such as Digital Forensics or Cloud Security and expand once the install path is proven on your agents.
- ↗To a commercial MDR service: when you need SLAs and human responders rather than agent-executed steps, hand the framework mappings and procedures over as the documented baseline they inherit.
- ↗To an in-house skill library: fork the repository and keep only the domains you use, so your agents load a smaller, reviewed set.
- ↗To a paid playbook platform: port the workflow steps and MITRE ATT&CK references into the platform's native format and retire the Markdown copies.
Integrations
Resources & Guides
Tutorials & Learning
Give Any AI Agent 817 Cybersecurity Skills Instantly
DevPik
Anthropic-Cybersecurity-Skills GitHub: NIST Mapping, MITRE ATT&CK, Enterprise SOC Teams
Alex Hitt
AI Cybersecurity Skills
Next Horizon
YouTube returned 6 videos for “Anthropic Cybersecurity Skills”, and we withheld 3: 3 did not mention Anthropic Cybersecurity Skills. Showing the 3 we can prove are about Anthropic Cybersecurity Skills.
Official links
Tools that pair well with Anthropic Cybersecurity Skills
Common stack mates teams adopt alongside Anthropic Cybersecurity Skills, with the specific reason each pairing earns its keep.
Imbue
Imbue builds inspectable coding-agent tools, from mngr's parallel agent runner to Latchkey's HTTP permissions
Ida Pro Mcp
Open-source MCP server that exposes your IDA Pro database to Claude Code, Cursor and other LLM clients for AI-assisted reverse engineering
MetaGPT
Open-source multi-agent framework that assigns PM, architect, engineer and QA roles to LLMs for structured software tasks
Featured Head-to-Head Comparisons
Anthropic Cybersecurity Skills vs Sublime Security
Anthropic Cybersecurity Skills is the better choice for security professionals who want to supercharge AI agents with structured, open-source playbooks for free. Sublime Security wins for enterprise teams needing a dedicated, low-FP email security platform. Choose based on whether your need is agent automation (Anthropic) or email protection (Sublime).
Anthropic Cybersecurity Skills vs Audioeye
Anthropic Cybersecurity Skills wins for security pros who want free, structured, AI-driven playbooks mapped to 6 frameworks. AudioEye is the pick for enterprises needing automated accessibility compliance with human audits and legal backup. They solve completely different problems—choose based on whether you need cybersecurity automation or ADA/WCAG compliance.
Anthropic Cybersecurity Skills vs Push Security
For security teams needing to detect and stop browser-based attacks (AiTM, ClickFix, session hijacking) and govern AI tool use, Push Security is the clear choice. For security engineers and penetration testers who want to supercharge AI agents with structured, framework-aligned playbooks (817 skills), Anthropic Cybersecurity Skills is the cost-effective, open-source complement. They are not direct substitutes—Push is a detection/response platform, Anthropic is a skill library—and many teams will benefit from both.
Alternatives to Anthropic Cybersecurity Skills
View all
Imbue
Imbue builds inspectable coding-agent tools, from mngr's parallel agent runner to Latchkey's HTTP permissions
Ida Pro Mcp
Open-source MCP server that exposes your IDA Pro database to Claude Code, Cursor and other LLM clients for AI-assisted reverse engineering
Frequently Asked Questions
Best-of guides
Used Anthropic Cybersecurity Skills? Help shape our editorial sentiment research.