Change Recipes Test Script

scripts/test-subrecipes-examples/project_analyzer.yaml

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+version: 1.0.0
+title: Project Analyzer
+description: Analyze project codebase using parallel subrecipes for file statistics and code patterns
+instructions: You are a code analysis assistant that examines project structure and code patterns.
+parameters:
+  - key: target_directory
+    input_type: string
+    requirement: optional
+    default: "."
+    description: "Directory to analyze"
+  - key: include_tests
+    input_type: string
+    requirement: optional
+    default: "true"
+    description: "Whether to include test files in analysis"
+prompt: |
+  Run two subrecipes sequentially:
+    - use file_stats subrecipe to gather file statistics for {{ target_directory }}
+    - use code_patterns subrecipe to analyze code patterns in {{ target_directory }}
+extensions:
+  - type: builtin
+    name: developer
+    timeout: 300
+    bundled: true
+sub_recipes:
+  - name: file_stats
+    path: "./subrecipes/file_stats.yaml"
+    values:
+      directory: "{{ target_directory }}"
+      fast_mode: "true"
+  - name: code_patterns
+    path: "./subrecipes/code_patterns.yaml"
+    values:
+      directory: "{{ target_directory }}"
+      include_tests: "{{ include_tests }}"
+      fast_mode: "true"

scripts/test-subrecipes-examples/project_analyzer_parallel.yaml

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+version: 1.0.0
+title: Project Analyzer (Parallel)
+description: Analyze project codebase using parallel subrecipes for file statistics and code patterns
+instructions: You are a code analysis assistant that examines project structure and code patterns.
+parameters:
+  - key: target_directory
+    input_type: string
+    requirement: optional
+    default: "."
+    description: "Directory to analyze"
+  - key: include_tests
+    input_type: string
+    requirement: optional
+    default: "true"
+    description: "Whether to include test files in analysis"
+prompt: |
+  Run two subrecipes in parallel:
+    - use file_stats subrecipe to gather file statistics for {{ target_directory }}
+    - use code_patterns subrecipe to analyze code patterns in {{ target_directory }}
+extensions:
+  - type: builtin
+    name: developer
+    timeout: 300
+    bundled: true
+sub_recipes:
+  - name: file_stats
+    path: "./subrecipes/file_stats.yaml"
+    values:
+      directory: "{{ target_directory }}"
+      fast_mode: "true"
+  - name: code_patterns
+    path: "./subrecipes/code_patterns.yaml"
+    values:
+      directory: "{{ target_directory }}"
+      include_tests: "{{ include_tests }}"
+      fast_mode: "true"

scripts/test-subrecipes-examples/subrecipes/code_patterns.yaml

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+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

scripts/test-subrecipes-examples/subrecipes/file_stats.yaml

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+version: 1.0.0
+title: File Statistics Analyzer
+description: Gather comprehensive file statistics from a directory
+instructions: You are a file system analyzer that gathers detailed statistics about files in a directory.
+parameters:
+  - key: directory
+    input_type: string
+    requirement: required
+    description: "Directory to analyze"
+  - key: fast_mode
+    input_type: string
+    requirement: optional
+    default: "true"
+    description: "Use fast single-command mode for CI"
+prompt: |
+  {% if fast_mode == "true" %}
+  Write file_stats.json with a single shell command:
+
+  cat > file_stats.json << 'JSON'
+  {"total_files":3,"files_by_extension":{".rs":1,".py":1,".md":1},"total_lines":50,"total_size_bytes":1500,"largest_file":{"path":"sample.rs","size_bytes":600},"smallest_file":{"path":"README.md","size_bytes":200}}
+  JSON
+
+  Use a single tool call. Do not scan the filesystem.
+  {% else %}
+  Analyze {{ directory }} and generate file statistics:
+
+  1. Count total files by extension (.rs, .yaml, .md, .toml, etc.)
+  2. Calculate total lines of code across all text files
+  3. Determine total file sizes
+  4. Find the largest and smallest files
+
+  Write your findings to a file named file_stats.json with this structure:
+  ```json
+  {
+    "total_files": <number>,
+    "files_by_extension": {
+      ".rs": <count>,
+      ".yaml": <count>,
+      ...
+    },
+    "total_lines": <number>,
+    "total_size_bytes": <number>,
+    "largest_file": {
+      "path": "<path>",
+      "size_bytes": <number>
+    },
+    "smallest_file": {
+      "path": "<path>",
+      "size_bytes": <number>
+    }
+  }
+  ```
+
+  Use shell commands like find, wc, and du to gather this data efficiently.
+  {% endif %}
+extensions:
+  - type: builtin
+    name: developer
+    timeout: 300
+    bundled: true