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chore: import upstream snapshot with attribution
2026-07-13 12:04:08 +08:00

63 lines
2.0 KiB
YAML

version: 1.0.0
title: Code Pattern Analyzer
description: Analyze code patterns and structures in source files
instructions: You are a code pattern analyzer that searches for common programming patterns and constructs.
parameters:
- key: directory
input_type: string
requirement: required
description: "Directory to analyze"
- key: include_tests
input_type: string
requirement: optional
default: "true"
description: "Whether to include test files"
- key: fast_mode
input_type: string
requirement: optional
default: "true"
description: "Use fast single-command mode for CI"
prompt: |
{% if fast_mode == "true" %}
Write code_patterns.json with a single shell command:
cat > code_patterns.json << 'JSON'
{"todos":[{"file":"README.md","line":3,"text":"Add more tests"}],"function_count":2,"import_count":0,"test_count":2,"files_analyzed":3}
JSON
Use a single tool call. Do not scan the filesystem.
{% else %}
Analyze source code files in {{ directory }} and identify patterns:
1. Find all TODO/FIXME comments
2. Count function/method definitions (look for 'fn ', 'def ', 'function ')
3. Find import/use statements
4. Identify test functions (names containing 'test')
Write your findings to a file named code_patterns.json with this structure:
```json
{
"todos": [
{"file": "<path>", "line": <number>, "text": "<comment>"}
],
"function_count": <number>,
"import_count": <number>,
"test_count": <number>,
"files_analyzed": <number>
}
```
Use grep and other shell tools to find these patterns efficiently.
Only analyze source code files (.rs, .py, .js, .go, etc.), skip binaries and build artifacts.
{% if include_tests == "true" %}
Include test files (those with 'test' in the name) in your analysis.
{% else %}
Exclude test files from your analysis.
{% endif %}
{% endif %}
extensions:
- type: builtin
name: developer
timeout: 300
bundled: true