netra-pii-and-input-guardrails
Netra PII And Input Guardrails
Use this skill to protect prompts and logs from sensitive data and malicious inputs.
When To Use
- You must detect/mask/block PII before sending text to LLMs.
- You need prompt-injection scanning before agent/tool execution.
- You want explicit security actions (
MASK,FLAG,BLOCK).
Procedure
- Choose a PII detector (
get_default_detectororRegexPIIDetector). - Set action type based on policy (
MASKfor safe continuation is common). - Scan user input with
InputScannerbefore processing. - Stop requests on blocked violations.
- Send masked content downstream when allowed.
More from keyvaluesoftwaresystems/netra-skills
netra-best-practices
Code-first Netra best-practices playbook covering setup, instrumentation, context tracking, custom spans/metrics, integration patterns, evaluation, simulation, and troubleshooting.
34netra-mcp-usage
Netra MCP trace-debugging workflow focused on query_traces, get_trace_by_id, and get_session_details, including exact input parameters, filter schema, operators, sorting, and pagination patterns.
19netra-simulation-setup
Set up Netra multi-turn simulations with scenario definitions, personas, fact checkers, evaluator configuration, and test-run analysis. Use to validate agent behavior before production.
4netra-evaluation-setup
Set up high-quality Netra evaluations with datasets, evaluator design, variable mapping, and repeatable test runs. Use for regression detection and quality benchmarking.
4netra-decorator-instrumentation
Create custom Netra tracing instrumentation using decorators. Use when choosing between auto-instrumentation, decorators, and manual tracing in Python or TypeScript, with clear semantic span design.
3netra-setup
Install and initialize the Netra SDK with environment-safe defaults, instrument selection, and shutdown handling.
2