detect

Detect patterns in logs, text, or code with evidence anchors and confidence scores.

4|1|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/synaptiai/agent-capability-standard --skill detect
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: detect
Source: https://github.com/synaptiai/agent-capability-standard/tree/main/skills/detect
Command: npx skills add https://github.com/synaptiai/agent-capability-standard --skill detect

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects whether a specific pattern or signal exists within a dataset, enabling quick validation of presence.

Core Features & Use Cases

  • Detects binary presence of patterns in logs, text, or structured data with evidence anchors.
  • Returns confidence scores and locations to support auditing and remediation.
  • Use Case: Validate if a sensitive keyword appears in code and collect file:line references for remediation.

Quick Start

Ask the model to detect occurrences of a target pattern in a dataset and return anchors for each match.

Frequently Asked Questions about detect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect if a specific pattern exists in log files?

Pattern detection in logs uses text matching to identify signals and returns evidence anchors. It confirms whether specific patterns exist and provides file locations with confidence scores for each finding.

Can I search for sensitive keywords in code and get file line references?

Yes, searching for sensitive keywords in code can return file and line references. Pattern detection validates keyword presence and collects evidence anchors pointing to exact locations for remediation.

What is the best way to check structured data for a specific signal?

Checking structured data for a specific signal involves structural inspection and text matching. The best approach returns a structured output indicating whether the signal was detected, along with confidence scores.

Does pattern detection work with both text and structured data sources?

Yes, pattern detection works with logs, text, structured data, and code. It uses structural inspection for data formats and text matching for patterns, making it applicable across diverse data sources.

How do I get confidence scores and locations when searching for patterns?

Getting confidence scores and locations requires a detection process that evaluates pattern matches. It returns a structured output with fields for detected signals, locations, evidence anchors, and confidence scores.

What are the limitations of using grep for pattern detection in datasets?

Using grep for pattern detection is limited to text matching and may not fully interpret structured data formats. For comprehensive detection, combine grep with structural inspection to validate evidence anchors and confidence scores across datasets.