Generic Analyzer agent. Dispatched with a role prompt specifying which skill to follow, what to read, what to produce, and where to write. Loads all analysis skills.
Generic sanitizer worker agent. Reads raw specs and rewrites them as clean behavioral specs. Loads sanitization and provenance skills.
Layer 1 skill for parsing machine-readable API contracts. OpenAPI/Swagger, GraphQL, Protobuf/gRPC, and JSON Schema detection, extraction, and behavioral claim generation. Loaded by the analyzer agent during Layer 1.
Public documentation extraction methodology. Search sequence (3 tiers), behavioral claim extraction rules, output structure, termination criteria, and gap analysis. Loaded by the analyzer agent for documentation research.
Layer 1 skill for SDK and ecosystem analysis. SDK discovery strategy, behavioral extraction methodology, integration test mining, output formats. Loaded by the analyzer agent for SDK and ecosystem work.
Cross-validates sanitized output specs against raw source specs to detect lost behavioral detail, dropped constants, missing features, or diluted precision. Run AFTER sanitization and AFTER contamination audit passes.
Layer 1 skill for mining git history for behavioral intelligence. Repository overview, commit message mining, PR/MR description extraction, blame-based maintenance heat maps, issue tracker cross-referencing. Loaded by the analyzer agent during Layer 1.
Uses power tools
Uses Bash, Write, or Edit tools
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Reverse engineer clean behavioral specs from any codebase.
Greenfield reads source code, documentation, SDKs, runtime behavior, and binaries, then produces behavioral specifications, test vectors, acceptance criteria, and a full provenance trail. The output describes what the software does — not how any particular codebase does it — so a fresh implementation team can build against the specs without inheriting the original's internal structure.
Greenfield is a Claude Code plugin. It runs inside the claude CLI and uses Claude agents as the workers that read code, write specs, and audit output.
/plugin marketplace add prime-radiant-inc/prime-radiant-marketplace
/plugin install greenfield@prime-radiant-marketplace
Restart Claude Code after installing.
claude
> /analyze /path/to/target
/analyze runs a seven-layer pipeline. It discovers the available intelligence sources (source, docs, SDK, community, runtime, binary, git history, tests, UI, contracts), gathers evidence from each, synthesizes behavioral specs with provenance citations, generates test vectors and acceptance criteria, sanitizes the specs of implementation details, then runs a second-pass review of the result.
Target shape doesn't matter. Greenfield has been used on single-file minified JavaScript bundles and on source-tree projects; the pipeline also has a path for decompiled native binaries. The methodology adapts to what's there.
Workspace output:
workspace/
├── raw/ # Analysis artifacts with source references
├── output/ # Sanitized specs for the implementation team
│ ├── specs/
│ ├── test-vectors/
│ └── validation/
└── provenance/ # Citation audit trail
claude
> /sanitize /path/to/workspace
Re-runs the sanitization pass on an existing workspace. Useful when the initial pass left contamination that the audit caught.
Greenfield stops at the specs. The implementation team reads workspace/output/ and builds against the behavioral specs, test vectors, and acceptance criteria there.
The pipeline dispatches agents with role-specific prompts across the seven layers. Each dispatch runs one of two generic agent types loaded with a specific skill:
discovery-agent, bundle-splitter, chunk-analyzer, function-analyzer, doc-researcher, community-analyst, sdk-analyzer, cli-explorer, behavior-observer, feature-discoverer, architecture-analyst, api-extractor, synthesizer, module-mapper, deep-dive-analyzer, behavior-documenter, user-journey-analyzer, contract-extractor, spec-verifier, source-completeness-checker, test-vector-generator, test-generator, acceptance-criteria-writer, spec-reviewer, structural-leakage-reviewer, content-contamination-reviewer, behavioral-completeness-reviewer, deep-read-auditor, fidelity-validator.| Layer | Roles | Output |
|---|---|---|
| L1: Intelligence | bundle-splitter, chunk-analyzer, function-analyzer, doc-researcher, community-analyst, sdk-analyzer, cli-explorer, behavior-observer | Raw evidence from source, docs, SDK, community, runtime, binary |
| L2: Synthesis | feature-discoverer, architecture-analyst, api-extractor, synthesizer, module-mapper | Feature inventory, architecture model, module map |
| L3: Deep Docs | deep-dive-analyzer, behavior-documenter, user-journey-analyzer, contract-extractor | Behavioral specs, journeys, contracts |
| Gate 1 | spec-verifier | Correctness, contradictions, gaps |
| Gate 1b | source-completeness-checker | Every user-facing surface captured |
| L4: Validation | test-vector-generator, test-generator, acceptance-criteria-writer | Test vectors, test specs, acceptance criteria |
| Gate 2 | spec-reviewer | Implementation leakage, completeness, quality |
| L5: Sanitization | sanitizer | Output specs rewritten from understanding, not copied |
| L6: Review | structural, content, completeness reviewers + deep-read auditors | Second-pass contamination review |
| L7: Fidelity | fidelity-validators | Flags behavioral detail lost or weakened during sanitization |
Apache 2.0. Copyright 2026 Prime Radiant, Inc.
npx claudepluginhub systemlevel/greenfieldAn iterative implementation methodology that pairs with superpowers. Extracts requirements with proof obligations from large spec collateral, defines a walking skeleton that closes a real journey, then loops through audited sprints building a behavior evidence corpus until an auditor confirms the product matches the spec. Designed for comprehensive or ambiguous specs where the upfront writing-plans flow loses the plot.
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