portfolio-optimiser-claude

Sibling implementation of the portfolio-optimiser method on the Claude Agent SDK (decision D7). An open, generic Python framework that finds cost savings inside each project in a portfolio of independent projects: agents generate candidate measures, a mandatory deterministic validator gates the numbers, domain experts judge via HITL, and the system learns from the verdicts.

The method itself is framework-neutral and lives in portfolio-optimiser-commons (consumed here as a git subtree under shared/): the method spec, the OKF bundle navigation contract, the golden/conformance suite (the only oracle for the validator), and the shared expert-reviewer persona skill. This repo implements that spec on the Claude Agent SDK — it does not reverse-engineer the MAF sibling.

Disclaimer: this is a purely technical framework. The deployer owns DPIA, risk assessment, and the legal basis for any processing. The framework ships only the technical preconditions (local-only operation, provenance, no silent egress).

Status

Scaffold (S5): repo, contracts, and shared core in place — no agent runs yet.

Development

uv sync          # install dependencies
uv run pytest    # test suite (runs without any API key)
uv run ruff check . && uv run ruff format --check .
uv run mypy src