VERIFY Engineer

Your software already contains consequential decisions — the places where a proposal becomes a commitment, and money moves, or a record changes, or something is sent. VERIFY Engineer finds them, helps make the rules that govern them explicit, and checks what actually changed when you repair one.

It runs locally. It has no account, no key, and no model of its own.

Install

pipx install verify-engineer      # recommended: an isolated environment for the command
pip install verify-engineer       # or into an environment you already have

One dependency, verify-run, the runtime that settles decisions. Both are public packages. Nothing else is fetched, and nothing is sent anywhere.

30-second start

verify-engineer inspect .

That is the whole first step. It reads your repository with a real parser, reports every place something could be committed, and says plainly what it could not settle. It writes nothing into your repository.

Add --out result.json and you get the same facts as typed data.

Use it from Claude Code or Codex

Engineer is a command-line tool with machine-readable output at every step, so a coding agent that already has your repository can drive it. Paste this:

Run VERIFY Engineer on this repository. Start by inspecting it. Explain what it finds in ordinary language. Follow its typed next actions, and use --out so you are reading data rather than my terminal. Help me draft the values it says may be drafted. Ask me for the decisions it refuses to invent — do not make those for me. When a repair exists, build the candidate separately from the current system, run the declared scenarios against both, and report VERIFY's comparison and its improvement claim exactly as given. Do not make its claims stronger in your own words.

You bring the agent. VERIFY brings the part an agent does not have: a place where construction stops and a claim becomes checkable. See AGENT_HOST.md.

What happens

inspect      where in this repository something could be committed
scaffold     turn one of those into a declaration skeleton — every decision marked UNRESOLVED
assist       optionally have a provider draft the fields it is allowed to draft
declare      you declare the rest; Engineer will not fill them in
govern       compile it, and say what is still open
prove        run your own predictions against the real runtime
repair       one typed change, then a second candidate
compare      current against candidate, over the cases they share

Example

From a run against a seeded repository, produced by scripts/zero_to_governed.py:

7 consequential site(s) across 11 file(s)
24 decision(s) the scaffold left for a person
   17 a provider may draft · 7 it names and refuses, with the reason for each
   grouped into 6 questions, not 24

COMPILED  ct1-d7c1f5f6…
5 of 5 case(s) settled as predicted, against the real runtime

the rule somebody added for this case did not fire; the general one above it did

and after a typed repair:

Yes — this candidate is better on the decisions we can compare.

or, when a candidate looks better because it stopped governing something:

claim withheld: ['GM.COVERAGE_REDUCED', 'GM.BRANCH_EXCLUDED']

Every number above came from executing the thing. None of it is written into a demo script.

What VERIFY will not decide for you

This is the part that makes the rest worth trusting.

• It will not invent a missing fact. A value nobody declared is reported as UNRESOLVED, by name, with what would settle it.
• It will not write a rule's outcome. A model that can write BLOCK can write ALLOW, and the distance between those is somebody's money. Seven of the twenty-four fields above are refused for reasons like that one, each stated.
• It will not rank your findings. There is no impact score, because a canonical one would need a basis nothing here has. Where the structure your declaration already contains puts one finding ahead of another, it says so and shows the relation. Where it does not, you get two findings and a sentence saying neither comes first.
• It will not decide whether an action is allowed. Only the installed verify-run runtime does that, at the moment the action is attempted.
• It will not authorize anything. A met condition is arithmetic. Promotion is authority, and it belongs to the people who declared it.
• It will not tell you a change improved things unless it can. When the candidate moved the population it was measured over, the claim is withheld and the reason is given.

Local and private

Nothing leaves your machine. There is no telemetry, no account, no key, and no network client anywhere in the product — proved structurally, by reading the installed package's imports, in scripts/release_battery.py.

Engineer is also disposable on purpose: install a governed boundary, delete Engineer, and nothing operational changes. The rules keep governing and the records keep verifying. That is a tested property (scripts/kill_harness.py), not a promise.

VERIFY Platform

Engineer is built for local use by one developer and stays that way.

Teams that need shared decision systems that persist, organizational identity and authority, lifecycle and promotion controls, managed evidence, centralized history or enterprise deployment can write to hello@verifyrun.com about VERIFY Platform.

Licence, and what "free" means here

Free to install and use, for anything, including commercially, on as many machines and by as many people as you like. No account, no key, no payment, and no expiry on a version you have already installed.

It is not open source. The licence does not grant redistribution, republishing, or offering it to third parties as a service. You may read the source and modify your own copy for your own use — and you can read it, because a pure-Python package ships the .py files that run. Publishing this package makes the distributed implementation inspectable, which is a deliberate decision and not an accident of packaging. The canonical repository, its history and its tests remain private.

Full terms in LICENSE. For anything the licence does not grant: hello@verifyrun.com.

Deeper documentation

Requires Python 3.11 or later.