Total 50,402 skills, Security & Compliance has 1967 skills
Showing 12 of 1967 skills
This skill should be used when the user asks to "scan Python code for security issues", "set up Bandit", "configure bandit security linting", "fix bandit warnings", or needs guidance on Python static security analysis with Bandit.
Guide for configuring and managing GitHub secret scanning, push protection, custom patterns, and secret alert remediation. This skill should be used when users need help enabling secret scanning, setting up push protection, defining custom secret patterns, triaging secret scanning alerts, or resolving blocked pushes.
Builds a structured vulnerability scanning workflow using tools like Nessus, Qualys, and OpenVAS to discover, prioritize, and track remediation of security vulnerabilities across infrastructure. Use when SOC teams need to establish recurring vulnerability assessment processes, integrate scan results with SIEM alerting, and build remediation tracking dashboards.
Use this skill when responding to security incidents, conducting forensic analysis, containing breaches, or writing incident reports. Triggers on security incident, breach response, forensics, containment, eradication, recovery, incident report, IOC analysis, and any task requiring security incident management.
Audit and harden OpenClaw deployments and interpret `openclaw security audit` findings. Use when the user wants to secure OpenClaw, review gateway exposure/auth/reverse proxies/Tailscale Serve or Funnel, check DM/group access (pairing, allowlists, mention gating, `session.dmScope`), minimise tool permissions and sandboxing, review plugins/skills/secrets/transcripts/log retention, or lock down Docker/macOS/laptop/EC2 installs. Not for generic OS, Docker, or cloud hardening unrelated to OpenClaw.
Master network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.
Configure mutual TLS (mTLS) for zero-trust service-to-service communication. Use when implementing zero-trust networking, certificate management, or securing internal service communication.
Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities
Performs security-focused differential review of code changes (PRs, commits, diffs). Adapts analysis depth to codebase size, uses git history for context, calculates blast radius, checks test coverage, and generates comprehensive markdown reports. Automatically detects and prevents security regressions.
Identifies error-prone APIs, dangerous configurations, and footgun designs that enable security mistakes. Use when reviewing API designs, configuration schemas, cryptographic library ergonomics, or evaluating whether code follows 'secure by default' and 'pit of success' principles. Triggers: footgun, misuse-resistant, secure defaults, API usability, dangerous configuration.
Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal).