aufsicht

Deterministic, reusable quality guardrails for existing Python repositories, built so AI coding agents cannot silently degrade them.

aufsicht (German for oversight / supervision — the only non-English identifier in the system) implements the Python AI Code Quality Guardrails specification v5.1 (Tier 1) and the distribution layer from the aufsicht distribution spec v1. Both documents, plus the Tier 3 mutation-testing addendum, live verbatim in spec/.

The three layers

Layer 1   runner        this package. All gate logic. Versioned, pinned, never
                        regenerated per repository.
Layer 2   init          `aufsicht init` — deterministic bootstrap: probes,
                        writes .quality/, verifies, refuses.
Layer 3   skill         delivery via an agent harness. Zero gate logic, zero
                        policy. Runs install/bootstrap.sh and reads init's
                        output. That is all.

The invariant: no policy above Layer 1. Thresholds, rule lists and mechanisms live in the runner and in .quality/ inside each guarded repository — never in the skill, never in prose an agent paraphrases.

Install

uv tool install aufsicht==0.1.0        # or: pipx install aufsicht==0.1.0
cd /path/to/existing/repo
aufsicht init                          # detect → probe → propose → write → verify

init branches (never commits to the default branch), writes .quality/, a CI workflow, an AGENTS.md section — configuration and nothing else. The repository's pyproject.toml dependencies and lockfile are provably untouched: the runner is a standalone tool, not a project dependency (distribution spec §3).

Command surface

aufsicht fast      quality-fast   read-only, diff-scoped, < 15 s (v5.1 §5)
aufsicht full      quality-full   read-only, whole repo, per-rule ratchets
aufsicht fix       quality-fix    MAY mutate — never in validation or CI
aufsicht init      Layer 2 installer
aufsicht upgrade   prints the .quality/ diff a runner upgrade would apply,
                   writes nothing

Exit codes (v5.1 §15): 0 pass, 1 hard gate, 2 regression only, 3 tooling error. Init exit codes (distribution spec §5.2): 0 installed, 1 refused, 2 installed with warnings, 3 tooling error.

What the gate does

Tier 1 — no baseline artifact, three mechanisms (v5.1 §4):

• absolute — test failures, circular imports (pyscn structured analysis minus allowlist), pip-audit findings, guardrail integrity
• diff-scoped — Ruff errors/format, enumerated Ruff S rules, C901 complexity (changed-file scope — measured, see src/aufsicht/probe_facts.py), Pyright on changed files, Semgrep anti-evasion rules, suppression-comment added-line scan
• per-rule count ratchet — Ruff, Pyright, pyscn dead code, deptry, Xenon aggregate, grouped by rule id with a <no-rule> bucket for null rule ids

Analyzer versions come from .quality/toolchain.lock (protected path, v5.1 §11.2) and run from runner-managed environments keyed on lockfile hash. A ratchet never compares diagnostics produced by different versions of the same analyzer (v5.1 §4.4).

Self-hosting

This repository runs its own guardrails (.quality/, .github/workflows/aufsicht.yml). src/aufsicht/** is documented in AGENTS.md as the product rather than a protected path — its control is code review plus the self-test suite (distribution spec §7).

Development

uv sync
uv run pytest

The self-test suite (v5.1 §18, distribution spec §8) executes every case against generated scratch repositories — real git history, real merge base, real violation, real CLI invocation.

License

Apache-2.0