Open-source measurement harness for Factory Droid agents

Grade the commit,
not the narration.

droid-tune runs coding tasks through an agent in an isolated git worktree, grades the resulting commit with deterministic behavioral tests, and writes an evidence pack for every attempt — so a result can be audited later instead of trusted.

View on GitLab Read the finding

Animated terminal console running the droid-tune verification workflow: diagnose, tune, verify. — The verification console. Mechanical checks, reproducible evidence.

The finding that motivates the project

Four models fixed the bug.
Seven of eight attempts submitted nothing.

The task t004-git-surgery asks the agent to repair a broken git history and says, explicitly: commit your result. Across a 40-trial live flake check, four different models repaired the history correctly and then never ran git commit.

7 of 8 attempts were classified NO_SUBMISSION. A file-content or diff check would have passed these seven — it can miss an absent commit the task explicitly required. The work was done, sitting uncommitted in the worktree. droid-tune grades the commit, so it fails them. The one nemotron-3.5-lightning-free attempt that did commit also passed.

This is the gap the tool exists to measure: the difference between an agent that did the work and an agent that delivered it. A transcript tells the first story. Only the commit tells the second.

What every trial produces

An evidence pack, not a score.

Every claim-eligible trial writes a complete, hash-manifested pack. If the pack is missing the transcript, the verifier provenance, or the pricing snapshot, the tool will not make the claim. The bar is mechanical: the tool must be incapable of stating a claim the evidence doesn't support.

manifest.json SHA-256 manifest of every artifact in the pack.
results.json The outcome class — VERIFIED_PASS, NO_SUBMISSION, and the rest — from deterministic behavioral tests. LLM judges are barred from pass/fail.
transcript.jsonl The full session, kept for offline audit.
patch + frozen tests/ The graded diff and the exact test tree that graded it. The agent worktree never contains tests/ or solution/.
Provenance Which model, which tune and its hash, which runner SHA — so a number can be traced back to the exact configuration that produced it.

Recorded result, raw evidence not included

Cache-stability study record.

The native-Droid dt-v0-cache-stability comparison was registered before its 50 confirmatory trials and reported on 2026-09-03. The committed conclusion records 88.0% first-pass yield, compared with 84.0% for native Droid, while observed Factory Standard Credits per verified task fell from 11,387.3 to 9,010.9.

The frozen descriptive conditions were met, but the raw evidence is under ignored runs/ paths and is not included in a fresh clone. Yield differs by one pass (22/25 versus 21/25); the rule has no uncertainty threshold. This is not an independently reproduced recommendation or proof of general improvement. Evidence limits and recorded conclusion.

The preregistered claim — published in full

The flagship result is a null result.

dt-v1-ledger-lite-nosub was registered before running: a frozen decision rule, a pinned tune hash, a required effect size. The hypothesis — a 1,721-byte tune file, pinned by hash in the claim, would cut the NO_SUBMISSION rate by at least 25 percentage points.

80 trials later (2 arms × 4 routes × 10 attempts), the decision rule was computed without re-cutting the metric.

Result: NOT SUPPORTED. The tune moved NO_SUBMISSION 5.0 percentage points against a required 25. The hypothesis failed, and the failure is published in full — see the public claims registry & results report — because a tool that only publishes its wins is not a measurement tool.

dt-v1-ledger-lite-nosub · 80 trials

Metric	Control	Tuned
NO_SUBMISSION	85.0%	80.0%
VERIFIED_PASS	15.0%	20.0%

Δ = 5.0pp vs 25pp required · two-sided Fisher exact p = 0.7695 · NOT SUPPORTED

Committed, reproducible, or both

The numbers, all of them.

Every statistic on this page is one of these. There are no others.

29 / 40
VERIFIED_PASS — 40 repeated attempts across 5 tasks and 4 free routes, at $0 observed inference cost (free BYOK routes; excludes subscriptions and credentials). A live flake check.: 13 / 23
VERIFIED_PASS (57%) in the committed demo pack, 3 tasks × 4 routes — regenerable by anyone from the repo.: 0 / 8
configured free routes currently marked up by the committed weather badge. Failures remain recorded as data.: 80
trials in the preregistered dt-v1 sweep: 2 arms × 4 routes × 10 attempts. Null result, published.: 506
tests observed by npm run check on 2026-09-02, including re-derivation checks that fail CI if a committed report drifts from its evidence.: 0
runtime dependencies. Node ≥ 20, ESM. Nothing to install but the repo itself.

Reproduce it yourself

Quick start.

Clone and run the suite

git clone https://gitlab.com/sxanz/droid-tune
cd droid-tune
npm test

Install as a Droid plugin

droid plugin marketplace add \
  https://gitlab.com/sxanz/droid-tune
droid plugin install \
  droid-tune@droid-tune --scope user

Running trials against models requires your own credentials; free routes are probed daily and the results are committed as data. The demo pack regenerates offline, with no credentials and no network — that is the number a stranger can check without spending anything. The live-route figures come from trial transcripts that are not committed, so they are reported, not reproducible.