mirror of
https://github.com/FuzzingLabs/fuzzforge_ai.git
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75 lines
1.7 KiB
TOML
75 lines
1.7 KiB
TOML
[project]
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name = "fuzzforge-module-template"
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version = "0.1.0"
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description = "FIXME: Add module description"
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authors = []
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readme = "README.md"
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requires-python = ">=3.14"
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dependencies = [
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"fuzzforge-modules-sdk==0.0.1",
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"pydantic==2.12.4",
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"structlog==25.5.0",
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]
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[project.optional-dependencies]
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lints = [
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"bandit==1.8.6",
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"mypy==1.18.2",
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"ruff==0.14.4",
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]
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tests = [
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"pytest==9.0.2",
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]
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[project.scripts]
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module = "module.__main__:main"
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[tool.uv.sources]
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fuzzforge-modules-sdk = { workspace = true }
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[tool.uv]
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package = true
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# FuzzForge module metadata for AI agent discovery
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# See MODULE_METADATA.md for full documentation
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[tool.fuzzforge.module]
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# REQUIRED: Unique module identifier (should match Docker image name)
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identifier = "fuzzforge-module-template"
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# REQUIRED: Module category - one of: analyzer, validator, fuzzer, reporter
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category = "analyzer"
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# Optional: Target programming language
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language = "rust"
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# Optional: Pipeline stage name
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pipeline_stage = "analysis"
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# Optional: Numeric order in pipeline (for sorting)
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pipeline_order = 1
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# Optional: List of module identifiers that must run before this one
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dependencies = []
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# Optional: Whether this module supports continuous/background execution
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continuous_mode = false
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# Optional: Expected runtime (e.g., "30s", "5m", "continuous")
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typical_duration = "30s"
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# REQUIRED: Use cases help AI agents understand when to use this module
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use_cases = [
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"FIXME: Describe what this module does",
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"FIXME: Describe typical usage scenario"
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]
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# REQUIRED: What inputs the module expects
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input_requirements = [
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"FIXME: List required input files or artifacts"
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]
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# REQUIRED: What outputs the module produces
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output_artifacts = [
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"FIXME: List output files produced"
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]
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