Individual skill
taint-instrumentation-assistant
Instruments code to track the flow of untrusted or sensitive data at runtime, enabling detection of injection vulnerabilities, data leaks, and privilege violations. Use when users need to: (1) Track untrusted input propagation through code, (2) Detect SQL injection, XSS, or command injection vulnerabilities, (3) Identify sensitive data leaks, (4) Monitor privilege escalation paths, (5) Perform dynamic taint analysis for security testing. Supports Python, Java, JavaScript, and C/C++ with configurable taint sources and sinks.
skills/taint-instrumentation-assistant/SKILL.md
Source commit 4f38503747e0617504bce5329283ef837d375c09
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Local scripts
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 260
- Repository last updated
- Aug 21, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-skills Repository topic
- metaprogramming Repository topic
- software-development Repository topic
- software-engineering Repository topic
- claude Repository topic
- claude-code Repository topic
- data Derived category
- security Derived category
- testing Derived category
- data-databases Derived category
- security-application Derived category
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Read excerpt
# Taint Instrumentation Assistant
Instrument code to track untrusted and sensitive data flow for security vulnerability detection.
## Workflow
Follow these steps to add taint tracking instrumentation:
### 1. Identify Taint Sources and Sinks
Define what data to track and where violations occur:
**Taint sources** (untrusted/sensitive data origins):
- User input (HTTP parameters, form data, command-line args)