scafld 2.4.3

Deterministic protocol for multi-phase agent work.

scafld

A deterministic protocol for multi-phase agent work. The agent passes through. The protocol stays.

Plans outlive agents. Sessions hold the receipts. Reviews take nothing on faith.

Given the same spec and session ledger, scafld derives the same state, next command, and review gate.

scafld is spec-driven orchestration for AI coding agents. The work starts from an explicit spec, gets hardened before real effort, executes phase-bounded, and ships only through adversarial review. The differentiator is simple: the agent does not get to grade its own homework.

Install

pipx install scafld
scafld --version

This PyPI package installs a scafld console script that downloads and runs the native Go binary from the matching GitHub release.

Quick Start

scafld init
scafld plan add-cache --command "go test ./..."
scafld harden add-cache
scafld harden add-cache --mark-passed
scafld approve add-cache
scafld build add-cache
scafld review add-cache
scafld complete add-cache

The lifecycle is deliberately small:

draft -> harden -> approved -> active -> review -> completed

complete only closes reviewed work. If adversarial review finds a blocking issue, scafld sends the task to repair instead of letting the implementation agent wave itself through.

Distribution Shim

The Go binary is the product. This PyPI package is a distribution shim that fetches the matching native binary from GitHub releases.

Environment overrides:

• SCAFLD_BINARY=/path/to/scafld runs a local binary instead of downloading.
• SCAFLD_INSTALL_DIR=/custom/cache controls where downloaded binaries are cached.
• SCAFLD_INSTALL_BASE_URL=https://host/assets downloads release assets from a mirror.

Links

• Docs: https://0state.com/scafld/docs
• Source: https://github.com/nilstate/scafld
• Releases: https://github.com/nilstate/scafld/releases