菜单
Security-focused review of native Android and iOS mobile app source code against OWASP MASVS v2.1.0. Use when reviewing mobile codebases, mobile PR diffs, or auditing a mobile module.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Audit AI agent configurations for security risks — excessive permissions, prompt injection surfaces, data exfiltration paths, and missing guardrails. Use when reviewing CLAUDE.md files, MCP configs, agent orchestration code, or any AI agent setup.
Assess agentic AI applications against the OWASP Top 10 for Agentic Applications 2026. Use when reviewing autonomous AI agents, multi-agent systems, or agentic workflows for security risks including goal hijacking, tool misuse, privilege abuse, and rogue agent behavior.
Comprehensive LLM security assessment against OWASP Top 10 for LLM Applications 2025. Use when reviewing LLM-integrated applications, RAG pipelines, chatbots, AI agents, or GenAI features. Covers prompt injection, data poisoning, supply chain, excessive agency, and more with real-world attack scenarios and testing methodologies.
Security review of MCP (Model Context Protocol) server implementations and configurations. Use when auditing MCP server source code, evaluating third-party MCP servers before installation, or reviewing Claude Code MCP integrations for overpermissioning, injection risks, and data exposure.
Test LLM-integrated applications against known prompt injection techniques, evasion methods, and attack intents using the Arcanum PI Taxonomy. Use when red-teaming AI apps, validating guardrails, or deepening LLM01 (Prompt Injection) assessments.
Comprehensive API security review against OWASP API Security Top 10 (2023). Use when reviewing OpenAPI/Swagger specs, auditing REST/GraphQL/gRPC implementations, testing authentication mechanisms, or checking API gateway configurations. Covers BOLA/IDOR, broken auth, mass assignment, rate limiting, SSRF, and more with real-world attack scenarios.
| name | mobile-code-review |
| description | Security-focused review of native Android and iOS mobile app source code against OWASP MASVS v2.1.0. Use when reviewing mobile codebases, mobile PR diffs, or auditing a mobile module. |
| license | CC-BY-4.0 |
Review native Android and iOS source code for security vulnerabilities by following the full procedure in plays/mobile-code-review.md.
data/masvs/MASVS-<GROUP>-<N>.md for the control statement and the mastg_tests: list.data/mastg/MASTG-TEST-####.md and apply its Static Analysis content (V1) or Steps/Observation/Evaluation (V2) to the source tree.status_note.templates/finding.md. Sort by severity (CRITICAL > HIGH > MEDIUM > LOW > INFO). Deduplicate cross-group findings (cite the most specific MASVS control in OWASP Ref).Scope summary (platform, languages), upstream-pointer note for MASTG IDs (https://github.com/OWASP/mastg, https://mas.owasp.org/MASTG/), findings sorted by severity using templates/finding.md (each finding carries an optional MASTG references: bullet listing any non-TEST @MASTG-<KIND>-#### cross-refs cited in the informing tests, grouped by KIND alphabetically, IDs sorted numerically, omitted when empty), positive observations, severity count table, RESILIENCE static-only notice block, PRIVACY runtime-required caveat for findings against PRIVACY-2/PRIVACY-3, dynamic-test follow-up list (collected from data/mastg/ entries with type: [dynamic] that informed findings).