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| # 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 | |