What is included in the detection output?

You receive a structured object containing a boolean 'detected' status, evidence anchors (file:line), a confidence score, and suggested next steps.

How does the detect skill minimize false positives?

The skill evaluates signal strength based on exact matching and context, providing a false-positive risk assessment and a confidence score for every detection.

Can I limit the scan to specific file types or folders?

Yes, the skill includes a 'scope' parameter that allows you to target specific file extensions, like .tsx or .py, or specific directory regions.

What tools does this skill use to find patterns?

It leverages 'Grep' for high-speed text pattern matching and 'Read' for structural inspection to provide deeper context for found signals.

Is this skill safe to run on my source code?

Absolutely. This skill has a 'low' risk rating and 'mutation: false' status, meaning it only reads data and cannot modify any files during the process.

Smart Pattern Detection

Name: Smart Pattern Detection
Author: synaptiai

bysynaptiai

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安全与测试

Identifies specific patterns, entities, or conditions within data sources using high-precision scanning and evidence-based verification.

The Smart Pattern Detection skill enables AI agents to systematically scan files, URLs, or structured data to verify the existence of specific conditions or code patterns. By combining structural inspection with grep-based searching, it provides a binary determination of presence supported by signal strength assessments and evidence anchors. This skill is particularly valuable for security auditing, finding deprecated API usage, and validating project-wide standards where reliable detection and low false-positive rates are critical for structural reliability.

主要功能

01Automatic false-positive risk assessment to ensure reliable results.

02Detailed signal strength evaluation (Low/Medium/High) for every match.

03Configurable detection sensitivity and confidence thresholds.

04Verifiable evidence anchors with precise file and line-number references.

052 GitHub stars

06Systematic pattern scanning using regex and structural inspection.

使用场景

01Locating deprecated API calls or lifecycle methods across large codebases.

02Identifying security vulnerabilities like SQL injection or hardcoded credentials.

03Enforcing architectural patterns or checking for specific imports during migrations.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add synaptiai/agent-capability-standard detect

For use in Claude.ai and ChatGPT

Download Skill