claude-red packages 78 offensive security methodology files as drop-in SKILL.md modules for the Claude Skills system, aimed at authorized red teamers, bug bounty hunters, and security researchers.
| Tool | SnailSploit/Claude-Red — a curated library of 78 offensive security skills packaged as SKILL.md files for the Claude Skills system |
| Category | AI-assisted offensive security methodology / prompt-based skill library |
| Primary Use | Priming a Claude environment with structured SKILL.md methodology files covering web, wireless, AD, cloud, and exploit-dev domains during authorized engagements |
| Safe Use | Intended for authorized red team engagements, bug bounty triage, security research, CTF preparation, and operator training, per the README's stated use cases |
| Telemetry Note | As prompt content rather than executable code, claude-red leaves no network or host telemetry itself; defenders should note it in AI-usage policies since loading these files shapes assistant behavior in ~/.claude/skills |
claude-red from SnailSploit is an interesting entry in the growing niche of AI-augmented security work: rather than shipping tools or exploit code, it ships methodology. The repository contains 78 structured SKILL.md files organized into 23 categories, each designed to be loaded into the Claude Skills system so that an assistant behaves like a domain specialist — the README cites SQL injection, shellcode, EDR evasion, and ADCS abuse as examples of the attack surfaces covered. With 6,343 stars, an MIT license, and Python as the listed language, it is one of the more prominent attempts to formalize how operators hand context to an LLM during an engagement.
The architectural idea is straightforward and worth understanding. Each skill is a markdown file that primes the model with expert-level technique knowledge, tooling familiarity, edge cases, and escalation paths for a specific domain. Skills load on demand based on conversational triggers — the README gives the example that mentioning SQL injection causes offensive-sqli to load — which means the operator doesn't spend context window budget on irrelevant domains. This lazy-loading model mirrors how a human consultant reaches for a playbook only when the engagement touches that surface.
Installation is deliberately minimal. The recommended path is a plain git clone into ~/.claude/skills/claude-red, after which the Skills system auto-discovers the files. A sparse-checkout variant using git sparse-checkout set Skills/web Skills/active-directory lets you pull only the categories you need, and an interactive install.sh script supports --target and --category flags for tighter control. For Claude Code users, the README shows piping a SKILL.md into claude --system-file, and on the web UI you simply paste the file contents into a Project's system prompt. That flexibility is the point: the content is plain markdown, portable across any LLM harness that accepts system-prompt injection.
The category distribution tells you where the author's effort went. Web Application is the deepest section with 16 skills spanning the full OWASP spectrum — offensive-sqli, offensive-xss, offensive-ssrf, offensive-ssti, offensive-xxe, offensive-request-smuggling, offensive-graphql, and offensive-waf-bypass among them. Wireless is nearly as deep at 14 skills, covering not just Wi-Fi (offensive-wpa2-psk, offensive-wpa3-sae, offensive-wpa-enterprise, offensive-evil-twin) but also Bluetooth LE and classic, Zigbee/Thread/Matter, Z-Wave, and LoRaWAN/sub-GHz radio — a scope few single tools attempt, because here the medium is methodology rather than radio hardware.
Infrastructure and red team operations get 7 skills, including offensive-initial-access, offensive-advanced-redteam, offensive-edr-evasion, and offensive-shellcode. From a defensive reading standpoint, these are essentially structured descriptions of publicly documented tradecraft mapped to MITRE-style phases (the README explicitly tags TA0001 for initial access). For blue teams, the same files function as a checklist of what an adversary working with AI assistance may be reasoning about — userland unhooking, indirect syscalls, PPID spoofing — which has genuine value for detection engineering discussions even if the packaging is offensive.
The remaining categories round out the full engagement lifecycle. Exploit Development carries 6 skills (stack/heap corruption, ROP, mitigations, TOCTOU), Fuzzing and Vulnerability Research has 4 (libFuzzer, AFL++, coverage-guided approaches), and single high-level skills cover Active Directory — including ADCS ESC1-15 territory, Kerberoasting, and delegation abuse — plus cloud attack paths, mobile testing with Frida, and IoT/OT work including MQTT and CoAP. Smaller but notable categories include AI Security itself (prompt injection, jailbreaking, RAG poisoning), Supply Chain (dependency confusion), CI/CD pipeline exploitation, and a Utility pair for triage checklists and professional reporting — the latter signaling that the intended user produces client-facing deliverables.
It's worth being precise about what this repository is and is not. It is not an exploit framework, a scanner, or a C2; there are no payload binaries here, just curated text. That also makes it a useful case study in how offensive knowledge transfers into AI workflows: the value proposition is recall and structure, not capability. An assistant primed with offensive-deserialization will remember the Java, PHP, and .NET gadget-chain landscape when triaging a finding; it won't magically gain execution on a target. Everything still runs through the operator's own authorized tooling and scope.
From a governance perspective, adopting claude-red in a professional environment deserves the same scrutiny as any methodology library. Loading offensive-keylogger-arch or offensive-edr-evasion primers into a shared assistant shapes its outputs, so teams should treat skill activation logs — if their harness exposes them — as part of engagement documentation. The README's own use-case list is explicit about authorized red team engagements, bug bounty triage, security research, CTF preparation, and operator training, which matches the responsible framing an assessment team would want on record.
Caveats before adopting: the README truncates in the visible context, and individual SKILL.md contents aren't inspectable here, so quality across 78 files will vary — the usual risk with any curated corpus is that some entries are dense and current while others lag behind mitigations and detection improvements. There's no versioned release cadence mentioned, so teams pinning this for methodology consistency should vendor their checkout rather than tracking main blindly. The MIT license at least removes friction for internal forks and customization.
Where claude-red fits in a modern workflow is as a context-management layer between the operator and the model. Bug bounty triage benefits from on-demand primers like offensive-idor and offensive-business-logic when evaluating a report; lab and CTF work benefits from the wireless and exploit-dev depth; and training scenarios get a consistent baseline of what 'expert methodology' means for a given surface. For defenders and authorized security teams, it doubles as a map of AI-assisted offensive tradecraft — worth reading even if you never load a single skill.
SnailSploit/Claude-Red.Educational analysis for authorized security professionals. Use only in controlled, authorized environments.
Related coverage
0 comentários:
Post a Comment
Note: Only a member of this blog may post a comment.