bundle/README.md

MuseScore 3 computer app

Exported by REA's export-desktop-application from a capture of the musescore3 package (capture Evidence ev_cde1fe73216a4e36661388fd18926eaf1ccbf6bb6a939bc7ba069a746caa6c88). It was checked against agentenv-framework 0.9.1431.

• envs/mscore3/ is a computer app on the ubuntu-24.04 base with the reference driver, for amd64 and arm64. It installs musescore3 from the distribution archive, launches sh -c cd "$HOME" 2>/dev/null; exec 'mscore3' "$HOME"/'Documents/MuseScore3/Scores/Morning_Song.mscz' at boot and is ready when a window of class MuseScore3 appears.
• Owned paths: ~/Documents/MuseScore3/Scores. data/get returns their files and a typed JSON view of each; data/reset restores the seed.
• Seed: 1 file(s) made for the task, as saved at checkpoint seed. Text files and dconf keys spell the capture host's name as localhost, user@host as user@localhost and the home as /home/user, which the computer respells to its own at boot.
• tasks/smoke.json deploys the app.

Run the task with agent-env run <this folder>, or only the deploy with --task smoke.

The seed was made for this task, not taken from a user's own data; read envs/mscore3/seed/ before publishing the bundle.

Task retitle-score

tasks/retitle-score.json deploys the app, has the agent work through the computer from the prompt below, and grades the outcome with artifacts/retitle-score-check/verify.py, which reads the app's data/get views and needs no model. evals/mscore3.toml names it, so a run of the bundle runs it.

In MuseScore, change the title of the score in Documents/MuseScore3/Scores/Morning_Song.mscz to Evening Lullaby and its composer to Clara Hollis, then save it.

Checks, each of which must pass:

• title: {"kind":"text_contains","file":"Documents/MuseScore3/Scores/Morning_Song.mscz","pointer":"/entries/[name=Morning_Song.mscx]/view/root/children/[name=Score]/children/[name=Staff]/children/[name=VBox]","value":"Evening Lullaby"}
• composer: {"kind":"text_contains","file":"Documents/MuseScore3/Scores/Morning_Song.mscz","pointer":"/entries/[name=Morning_Song.mscx]/view/root/children/[name=Score]/children/[name=Staff]/children/[name=VBox]","value":"Clara Hollis"}
• title-frame: {"kind":"text_equals","file":"Documents/MuseScore3/Scores/Morning_Song.mscz","pointer":"/entries/[name=Morning_Song.mscx]/view/root/children/[name=Score]/children/[name=Staff]/children/[name=VBox]","value":"10TitleEvening LullabySubtitlePractice piece in C majorComposerClara Hollis"}

REA kept the task because its checks fail on the seed (title, composer, title-frame) and all pass on the captured end state.

To measure a solve rate, run the task k times (3 by default) with the agent and model to measure, and count the runs whose summary line says passed; a run that says failed did not finish and is run again rather than counted:

agent-env run <this folder> --task retitle-score --agent claude-code --model MODEL