Six months ago, Stack Overflow processed 108,563 questions in a single month. By December 2025, that number had fallen to 3,862. A 78% collapse in two years. The explanation everyone reaches for is th

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proof-of-contribution is a Claude Code skill and Python CLI tool that tracks the human knowledge sources behind AI-generated code. It appends structured attribution blocks to AI-generated artifacts, seeds 'Knowledge Gaps' from spec assumptions before building, and uses Python's AST module to statically detect uncited code structures without any API calls. Key commands include `poc.py add` to record human sources, `poc.py trace` to view the full attribution chain, `poc.py verify` for static gap detection (CI-compatible via exit codes), and `poc.py import-spec` to bridge with spec-writer. An optional GitHub Action enforces attribution on PRs. The tool uses SQLite locally with no external dependencies.

How to Keep Human Experts Visible in Your AI-Assisted Codebase

How to Record Your First Provenance Entry

How to Use import-spec to Seed Knowledge Gaps

Manual Tracking vs. proof-of-contribution