Claude-Red: Offensive Security Skill Library for Claude Skills

What Happened

SnailSploit/Claude-Red is a public GitHub repository that packages structured SKILL.md files for Anthropic's Claude Skills system, targeting offensive security workflows. The library covers methodology modules across attack surfaces including SQL injection, shellcode development, and EDR evasion. Each skill file follows the Claude Skills format, priming the model with task-specific expert framing rather than relying on ad hoc prompting.

Why It Matters

The Claude Skills system was designed as a portable, file-based mechanism for injecting domain expertise into an agent's context. Claude-Red demonstrates that this same mechanism maps cleanly onto offensive security tradecraft, which means the marginal cost of standing up a capable red-team assistant is now roughly the cost of cloning a repo. Defensive teams, blue-team operators, and CTF participants gain a fast methodology scaffold. The dual-use exposure is structural rather than incidental: the same files that help a penetration tester enumerate injection vectors also lower the barrier for unskilled actors to produce functional attack tooling. Because Skills are static text artifacts, distribution cannot be easily rate-limited or gated the way API-level safety interventions can.

Technical Details

Claude-Red is a collection of markdown skill definitions, not executable code. Each SKILL.md bundles procedural guidance, checklists, and terminology that Claude loads when the skill is invoked, shaping the model's reasoning toward a specific offensive discipline. Coverage spans at least three named domains: SQLi exploitation, shellcode authoring, and EDR evasion — the latter being the most operationally sensitive since it targets defensive telemetry and endpoint agents directly. Integration requires a Claude environment that supports custom Skills loading, typically via the Filesystem or project-scoped skill directories. There is no compiled payload, C2 infrastructure, or exploit binary in the repository; the artifacts are guidance documents whose utility depends entirely on the host model's willingness to follow them. Limitations follow from that dependency: prompt-level refusals, model updates, or policy filters can degrade or nullify skill effectiveness without any change to the repo.

Operational Impact

For red teams and security researchers, the workflow shift is from reconstructing methodology in prompts to invoking a pre-built skill and iterating on target-specific detail. That compresses setup time for engagement prep, phishing simulation design, and adversary emulation planning. For blue teams, the same library functions as a threat-modeling reference — reading the skill files reveals the specific attack framings an LLM-assisted adversary is likely to attempt, which informs detection engineering priorities. For AI platform operators, the artifact raises a concrete content-governance question: Skills directories are user-controlled inputs, and any marketplace or shared-skill feature becomes a distribution channel for dual-use instruction sets. Expect skill-level allowlisting, provenance signing, and per-skill telemetry to move from optional to baseline in enterprise Claude deployments.