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A layered, sanity-checked scaffold for building modular Metamath artifacts.

Project description

ProofScaffold

A layered, sanity-checked scaffold for building modular Metamath artifacts.

ProofScaffold treats Python as the builder (compiler/linker) and Metamath as the verifier (semantic authority). It follows a Transient Monolith strategy: build modular packages into IR (LIR), then concatenate them into an ephemeral .mm file for verification by one or more verifiers (e.g. metamath-exe, mmverify, metamath-knife).

Install: pip install proof-scaffold
Import: import skfd
CLI: python -m skfd.cli ... (or skfd ... if installed)

Note: the PyPI distribution name is proof-scaffold, while the Python import package is skfd.


Why ProofScaffold

If you are maintaining a growing Metamath codebase, ProofScaffold aims to make it:

  • Modular by construction: proofs live in explicit Python packages with declared dependencies.
  • Traceable: symbol interning + origin tracking keep generated artifacts debuggable.
  • Sanity-checked: the builder can enforce invariants before invoking verifiers.
  • Verifier-agnostic: run multiple verifiers consistently via a single config (.skfd).
  • Deterministic: canonical builds enable stable caching and reproducible verification.

Unicode authoring, canonical builds

Proofs are authored in Unicode (e.g. ¬, , , ) for readability. Internally, the builder canonicalizes formulas into a stable ASCII representation for IR, caching, and verifier interop.

Canonicalization is deterministic and whitespace-insensitive: the same formula always maps to the same canonical token stream.


Quickstart

pip install proof-scaffold
mkdir my-proofs
cd my-proofs
python -m skfd.cli init-pkg my-proofs
python -m skfd.cli doctor check
python -m skfd.cli verify my-proofs

This will:

  1. Discover all build.py files under src/.
  2. Topologically sort packages by declared deps.
  3. Build each package in memory (LIR).
  4. Emit target/<project-name>_full.mm (Transient Monolith).
  5. Run configured verifiers (if available).

Tip: my-proofs is a project name (from pyproject.toml[project].name). verify <project-name> targets that project’s build unit (and its dependency closure).


Example: a tiny proof script

from logic.propositional.hilbert import HilbertSystem
from logic.propositional.hilbert.lemmas import LemmaBuilder, LemmaProof

def prove_modus_tollens(sys: HilbertSystem) -> LemmaProof:
    """Modus Tollens: φ → ψ, ¬ψ ⊢ ¬φ."""
    lb = LemmaBuilder(sys, "modus_tollens")

    h1 = lb.hyp("h1", "φ → ψ")
    h2 = lb.hyp("h2", "¬ψ")

    s1 = lb.ref("s1", "(φ → ψ) → (¬ψ → ¬φ)", ref="con3", note="con3")
    s2 = lb.mp("s2", h1, s1, note="MP h1, s1")
    s3 = lb.mp("s3", h2, s2, note="MP h2, s2")

    return lb.build(s3)

Verify:

python -m skfd.cli verify <project-name>

For a larger proof that showcases lifting/distribution patterns and origin tracking, see examples/.


Concepts and layout

Terminology

  • Project: a ProofScaffold workspace root (contains pyproject.toml + src/).
  • Build unit: what skfd verify targets; named by pyproject.toml[project].name.
  • Package (Python): the import package under src/<name>/ (often <project-name> with -_).
  • Driver: resolves deps, builds packages, emits transient monolith .mm.
  • LIR: the builder’s intermediate representation emitted by packages.

Key components

1) Generic Logic Driver (skfd.driver)

Manages the build lifecycle of logic packages.

  • Explicit dependencies: packages declare deps in build.py (e.g. metamath-prelude, metamath-logic).
  • No implicit globals: dependencies are injected by the driver.
  • Primary command: python -m skfd.cli verify <project-name>

2) Builder API (skfd.builder)

A fluent Python API for constructing Metamath databases.

  • Atomic LIR generation.
  • Symbol interning + origin tracking (for debuggability).

3) Engineering standards (AGENT.md)

CI-enforced discipline:

  • Ruff (lint/format)
  • MyPy (strict typing)
  • Pytest

See AGENT.md for the contributor protocol.


Verifier configuration (.skfd)

ProofScaffold can run multiple verifiers in a single verify pass. The active set is controlled by .skfd.

Minimal config (single verifier)

Example: only metamath-exe (adapt command to your environment)

active = ["metamath-exe"]

[verifiers.metamath-exe]
command = "metamath"
args = ["target/<project-name>_full.mm"]

Advanced config (multiple verifiers + shims)

Example (mmverify + metamath-knife + metamath-exe + shim):

active = ["mmverify", "metamath-knife", "metamath-exe"]

[verifiers.metamath-knife]
command = "../metamath-knife/target/release/metamath-knife"
args = ["--verify"]

[verifiers.metamath-exe]
command = "/usr/bin/env"
args = [
  "METAMATH_BIN=../metamath-exe/src/metamath",
  "./.venv/bin/python",
  "./verifier/shims/metamath.py"
]

Environment check:

python -m skfd.cli doctor check

Usage

Dev mode vs. user mode

User mode (installed via PyPI)

  • Dependencies are installed packages; no PYTHONPATH needed.
  • .skfd can be minimal and extended only if desired.
  • Typical usage: python -m skfd.cli verify <project-name>.

Dev mode (multi-repo / local path deps)

  • Repos may live side-by-side; dependencies can be pulled via local path (e.g. uv sources).
  • You may need PYTHONPATH depending on your workspace layout.
  • .skfd often points to local binaries and shims (multi-verifier runs).

Initialize a project

Package mode: creates src/ + pyproject.toml + .skfd

mkdir my-proofs
cd my-proofs
python -m skfd.cli init-pkg my-proofs

Standalone proof script: creates my_proof.py (no src/)

python -m skfd.cli init-proof my_proof.py

Build & verify a project

python -m skfd.cli verify <project-name>

### Browse theorem dependency chains (local web)
```bash
python -m skfd.cli serve <project-name> --port 8000

Then open http://127.0.0.1:8000/ and search/click assertions to inspect direct and reverse dependencies.


---


Run tests:

```bash
pytest

If you use uv:

uv run pytest

See CONTRIBUTING.md for development workflow and contribution guidelines.


Documentation

Start here:

  • projects/009-logic_driver.md — driver design, IR, and the Transient Monolith strategy.
  • examples/ — minimal and larger proof examples.
  • src/skfd/ — core toolchain implementation.

License

See LICENSE.

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