Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.
Security review for Claude-generated code: pattern-based warnings on edits, LLM-powered diff review on stop, and an agentic commit reviewer catching injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.
Security audit and vulnerability scanner for AI agent skills. Scans for malicious code, prompt injection, data exfiltration, supply chain risks, and privilege escalation before installation. Zero dependencies, PASS/WARN/FAIL verdicts with remediation guidance.
Blackbox/dynamic security workflows for authorized runtime targets, JavaScript web apps, Next.js, Node.js, active surface scans, API and web probing, TLS checks, fuzzing, pentest reports, finding normalization, and hardening gates.
Web application security testing via the OWASP Web Security Testing Guide (WSTG) — 12 categories, ~109 test cases. Four modes: guide a pentest, self-review your app, build/score a coverage checklist, review a diff against WSTG. Mode 2 carries a systematic whole-codebase audit protocol. Methodology from OWASP/wstg. Authorized/defensive use only.
High-confidence security review of a diff, layered on wstg-security-testing. Confidence gate, false-positive precedents, WSTG-ID mapping, and a dependency audit. Reports only concretely exploitable findings.
Secure coding applied pragmatically, prevention first: the secure-by-design mindset (Saltzer and Schroeder), the OWASP Proactive Controls 2024 as the what-to-do-while-coding checklist, the OWASP Top 10:2025 as the risk catalogue to recognise and prevent, ASVS 5.0.0 as the verification standard, and concrete practices for access control, authentication, input handling and injection, cryptography and secrets, configuration, dependencies and the supply chain, exceptional conditions, logging, and SSRF, with TypeScript specifics. Composable with your own conventions.
Security review for Claude-generated code. Pattern-based warnings on edits, LLM-powered diff review on Stop, and an agentic commit reviewer that catches injection, XSS, SSRF, hardcoded secrets, and 25+ other vulnerability classes.
Audit AI tool usage against Databricks security policies (go/llmpolicy, go/entaitools, AUP). Scans Claude and Cursor sessions for policy violations, checks settings, processes, and generates compliance reports.
Security reviewer for AI-generated and vibe-coded apps — hunts the hardcoded secrets, broken row-level security, and prompt-injection sinks that coding assistants ship by default, then drives a scan, fix, and rescan loop with honest, CWE-mapped findings.
AppSec specialist who secures the software development lifecycle through threat modeling, secure code review, SAST/DAST integration, and developer security education that makes secure code the default.
Expert security architect specializing in threat modeling, secure-by-design architecture, trust-boundary analysis, defense-in-depth, and risk-based security reviews across web, API, cloud-native, and distributed systems. Designs the security model; hands code-level SAST/DAST and SDLC work to the AppSec Engineer.
Collect API keys and tokens through a masked dialog the agent cannot read, and hand them to scripts without exposing them — no secret ever pasted into the chat
Analyze domains, hunt lookalikes and search certificate transparency; triage your organization's detections and alerts, and manage its domains, rules and takedowns.
Give coding agents your databases, APIs, and env vars without the values landing in the transcript. The agent loads a credential into the environment of the command it runs, and never sees the value.
Write and review GitHub Actions workflows, reusable workflows and composite actions so that text, code and artifacts from forks, issues and comments cannot reach the token and the secrets. Covers expression injection, privileged triggers such as pull_request_target and workflow_run, least-privilege permissions, actions pinned to a commit SHA, secrets and OIDC, caches, self-hosted runners and language-model steps. Includes a review mode mapped to the OWASP Top 10 CI/CD Security Risks.
Write and review application code in Java, Kotlin, C#, Python and TypeScript with rules for the risks in the OWASP Top 10, the OWASP API Security Top 10 and the OWASP Top 10 for LLM Applications: access checks per object and tenant, safe queries and paths, no type names from input, no secrets or fødselsnummer in logs, Maskinporten and ID-porten tokens, and language-model features. Keeps answers in proportion: no new dependencies or invented helpers, minimal fixes, tests that fail without the control, and no findings for safe code.
Write and review Dockerfiles, Helm charts and Kubernetes or OpenShift manifests with rules for the risks in the OWASP Top 10 and the OWASP Kubernetes Top 10: images that run as a user that is not root and with a random user ID, pinned base images, no secrets in layers, a restricted security context, no host access, secrets from Secret objects, least-privilege RBAC, and oc and kubectl commands that do not show secrets or change the cluster. Keeps answers in proportion: minimal fixes, no invented tags, paths or user IDs, and no findings for safe settings.