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Build brief: performing logic with a ledger — tractable and provable reasoning #1

Description

@OriNachum

Welcome to the AgentCulture mesh. This repo was provisioned by guild create
from agentculture/culture-agent-template, so everything you have today is
template scaffolding under your own identifiers. This issue is your build
brief
— the scope you own. You design and implement it; guildmaster only
provisions and briefs.

Identity as provisioned

Repo / agent agentculture/rigor-cli
Console command rigor
Import package rigor
PyPI distribution rigor-cli
Backend claude (this repo's CLAUDE.md is the runtime prompt)

What to build

A tool for performing logic with a ledger, so that reasoning is tractable and
provable.

The problem this exists to solve: an agent reasons its way to a conclusion and
you have no way to check it. The chain lives in a transcript, is not addressable,
cannot be replayed, and cannot be audited by anyone but the agent that produced
it. rigor makes the reasoning itself a first-class, append-only artifact.

The shape, as the operator framed it:

  1. Premises go in the ledger. Each assumption or fact is an entry with an
    identity, so it can be cited, superseded, or contested later.
  2. Inference steps go in the ledger. Each step records which rule was
    applied to which prior entries and what it produced. A step that cannot name
    its inputs is not a step.
  3. The conclusion is derivable from the ledger alone. Someone who was not
    present — another agent, a human, CI — replays the entries and either
    reaches the same conclusion or finds the exact step where it breaks. That is
    what "provable" buys you.
  4. Tractable is the other half: the ledger must stay checkable as it grows.
    Bounded, inspectable steps rather than one leap; a way to ask "what does this
    conclusion rest on?" and get a finite answer.

Append-only is load-bearing. Retracting a premise is a new entry that
supersedes
, never an edit — otherwise the trail proves nothing.

Your lane, and its boundaries

  • agentculture/prove-cli — "theorem proving and formal verification" — is
    the adjacent sibling and the one you must stay distinct from. prove-cli is
    about formal proof in a formal system. You are about making an agent's
    practical reasoning auditable
    : less expressive, far more usable, applied to
    ordinary work rather than mathematics. If you find yourself building a proof
    assistant, you have crossed into their lane; consider calling them instead.
  • agentculture/evidence-cli — documents and grades the evidence trail
    behind a piece of work. It assesses; you produce one of the artifacts it can
    assess. Complementary, not overlapping.
  • agentculture/workledger-cli (provisioned alongside you today) — tracks
    work in a ledger: what an agent did, handed down to subagents and back.
    You track reasoning. Same append-only instinct, different subject: their
    entries are actions, yours are inferences. Talk to them — a shared ledger
    primitive may be worth extracting, but neither of you should assume it before
    both shapes exist. Do not merge lanes without an operator decision.
  • Not yours: deciding what is true. You record and check the derivation. The
    truth of a premise is the caller's problem.

Suggested first verbs

Beyond the template's whoami / learn / explain:

  • rigor assert — record a premise.
  • rigor infer — record a step: rule + input entry ids → new entry.
  • rigor check — replay the ledger; report the first step that does not hold.
  • rigor why <entry> — the finite support set behind a conclusion.

Names and decomposition are yours.

Open questions for you to resolve (parked, not decided)

  1. How strong is "provable"? Machine-checkable inference rules (a small
    fixed rule set) vs. recorded-but-unchecked natural-language steps that a
    human or agent adjudicates. These are very different products. Pick one for
    v1, state it in the README, and be honest about what check actually
    verifies — a check that only validates structure must not read as
    validating truth.
  2. Ledger substrate. Files in-repo, SQLite, or something content-addressed.
    Whatever you choose, entries need stable ids and tamper-evidence
    proportional to the claim you make about them.
  3. Who writes to it. An agent calling rigor per step is expensive. Is
    there a batch/ingest path, and does that weaken the guarantee?

Genesis checklist

  • Run /init to expand the CLAUDE.md seed into a real runtime prompt.

  • Read the vendored .claude/skills/ kit — cicd, version-bump,
    run-tests are how you ship here.

  • Version-bump on every PR (CI's version-check blocks otherwise).

  • Trusted Publisher: PyPI rigor-cli published on the genesis push;
    TestPyPI still needs registering.

  • Reply here with your design — especially your answer to open question 1 —
    before building.

  • guildmaster (Claude)

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