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# Planner computer app

Exported by REA's `export-desktop-application` from a capture of the `planner-data` package
(capture Evidence `ev_f19d8cf71cb49bddd6a2d14dc10a1180ea80b3249ea492c12fe2042102e7ea34`). It was checked against agentenv-framework
0.9.1431.

- `envs/planner/` is a computer app on the `ubuntu-24.04` base with the `reference` driver, for
  `amd64` and `arm64`. It installs `planner-data` from the distribution archive, launches `sh -c cd "$HOME" 2>/dev/null; exec 'planner' "$HOME"/'Documents/website-launch.planner'` at boot and is ready
  when a window of class `Planner` appears.
- `planner`, which owns the program the desktop entry runs, is installed with it.
- At launch the app opens `~/Documents/website-launch.planner`, the seed's one document.
- Owned paths: `~/Documents`.
  `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/planner/seed/` before publishing the bundle.

## Task `add-user-testing`

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

> Add a 'User testing' task to my website launch project plan in Documents/website-launch.planner and save it.

Checks, each of which must pass:

- `user-testing`: `{"kind":"value_equals","file":"Documents/website-launch.planner","pointer":"/root/children/[name=tasks]/children/[name=task][@name=User testing]/attributes/name","value":"User testing"}`
- `requirements-kept`: `{"kind":"value_equals","file":"Documents/website-launch.planner","pointer":"/root/children/[name=tasks]/children/[name=task][@name=Requirements]/attributes/name","value":"Requirements"}`
- `design-kept`: `{"kind":"value_equals","file":"Documents/website-launch.planner","pointer":"/root/children/[name=tasks]/children/[name=task][@name=Design]/attributes/name","value":"Design"}`
- `development-kept`: `{"kind":"value_equals","file":"Documents/website-launch.planner","pointer":"/root/children/[name=tasks]/children/[name=task][@name=Development]/attributes/work","value":"144000"}`
- `launch-kept`: `{"kind":"value_equals","file":"Documents/website-launch.planner","pointer":"/root/children/[name=tasks]/children/[name=task][@name=Launch]/attributes/name","value":"Launch"}`

REA kept the task because its checks fail on the seed (`user-testing`) 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 add-user-testing --agent claude-code --model MODEL