What is pentest-whitebox-code-review?
Source code security audit using backward taint analysis, slot type classification, render context verification, and 3-phase parallel review producing an exploitation queue. Source: jd-opensource/joysafeter.
Source code security audit using backward taint analysis, slot type classification, render context verification, and 3-phase parallel review producing an exploitation queue.
Quickly install pentest-whitebox-code-review AI skill to your development environment via command line
Source: jd-opensource/joysafeter.
Purpose Perform systematic white-box source code security audit using Shannon's backward taint analysis methodology. Traces from dangerous sinks back to user-controlled sources, classifies injection contexts by slot type, verifies XSS render contexts, and produces a prioritized exploitation queue for downstream proof-driven exploitation.
| Slot Type | Sink Pattern | Sanitization Required |
| SQL-val | Query parameter value position | Parameterized query / prepared statement | | SQL-ident | Table name, column name, ORDER BY | Allowlist validation | | CMD-argument | Shell command argument | Argument escaping + allowlist | | FILE-path | File read/write path construction | Path canonicalization + allowlist |
Source code security audit using backward taint analysis, slot type classification, render context verification, and 3-phase parallel review producing an exploitation queue. Source: jd-opensource/joysafeter.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/jd-opensource/joysafeter --skill pentest-whitebox-code-reviewSource code security audit using backward taint analysis, slot type classification, render context verification, and 3-phase parallel review producing an exploitation queue. Source: jd-opensource/joysafeter.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/jd-opensource/joysafeter --skill pentest-whitebox-code-review Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/jd-opensource/joysafeter