Download bundle/README.md from earakely-scale/CherryTreeFromRequestComputerEnv-REA: direct link, hf CLI and curl.
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https://huggingface.co/datasets/earakely-scale/CherryTreeFromRequestComputerEnv-REA/resolve/main/bundle/README.md
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hf download hf://datasets/earakely-scale/CherryTreeFromRequestComputerEnv-REA/bundle/README.md
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curl -L -o README.md https://huggingface.co/datasets/earakely-scale/CherryTreeFromRequestComputerEnv-REA/resolve/main/bundle/README.md
CherryTree computer app
Exported by REA's export-desktop-application from a capture of the cherrytree package
(capture Evidence ev_6d194ec1e9120b0e3eea507aaf60cf6fea6b34ead242762bca5b9676f145e254). It was checked against agentenv-framework
0.9.1431.
envs/cherrytree/is a computer app on theubuntu-24.04base with thereferencedriver, foramd64andarm64. It installscherrytreefrom the distribution archive, launchessh -c cd "$HOME" 2>/dev/null; exec 'cherrytree' '--new_window'at boot and is ready when a window of classCherrytreeappears.- Installed beside the app because the export was asked for them with
--extra-package, as a build computer asks for the packages its request named:librsvg2-common. - The app opens no document at launch, since the seed holds 2 documents (~/.cache/dconf/user, ~/Documents/home-notebook.ctd) and the app opens one only when it holds exactly one.
- Owned paths:
~/.cache/dconf,~/.config/cherrytree,~/Documents.data/getreturns their files and a typed JSON view of each;data/resetrestores the seed. - Seed: 5 file(s) made for the task, as saved at checkpoint
seed. Text files and dconf keys spell the capture host's name aslocalhost,user@hostasuser@localhostand the home as/home/user, which the computer respells to its own at boot. - Neither owned nor seeded, so the app starts without what it saved there: these files or folders, which changed
during the capture,
~/.config/enchant. To own them, capture again naming them withstate_pathsonstart_build_capture, or--state-pathoncapture-desktop-application. - Seeded as captured, though the app keeps them for its own running, so a stale one can change how it starts:
caches
~/.cache. tasks/smoke.jsondeploys 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/cherrytree/seed/ before publishing the bundle.
Task add-chore-line
tasks/add-chore-line.json deploys the app, has the agent work through the computer from the prompt below, and grades
the outcome with artifacts/add-chore-line-check/verify.py, which reads the app's data/get views and needs
no model. It grades once the app's files have held for 3 s, so a save the app makes on its own within that
time of the agent stopping counts; each result's settled is false when they were still changing 15 s after the
first read. evals/cherrytree.toml names it, so a run of the bundle runs it.
In CherryTree, add a line saying Clean the gutters to the Weekend chores note in my notebook Documents/home-notebook.ctd and save it.
Checks, each of which must pass:
new-line:{"kind":"text_contains","file":"Documents/home-notebook.ctd","pointer":"/root/children/[name=node][@name=Weekend chores]","value":"Clean the gutters"}kept-water:{"kind":"text_contains","file":"Documents/home-notebook.ctd","pointer":"/root/children/[name=node][@name=Weekend chores]","value":"Water the tomato plants"}kept-sweep:{"kind":"text_contains","file":"Documents/home-notebook.ctd","pointer":"/root/children/[name=node][@name=Weekend chores]","value":"Sweep the back porch"}kept-bulb:{"kind":"text_contains","file":"Documents/home-notebook.ctd","pointer":"/root/children/[name=node][@name=Weekend chores]","value":"Replace the hallway bulb"}kept-library:{"kind":"text_contains","file":"Documents/home-notebook.ctd","pointer":"/root/children/[name=node][@name=Weekend chores]","value":"Return the library books"}three-notes:{"kind":"member_count","file":"Documents/home-notebook.ctd","pointer":"/root/children","matching":"[name=node]","equals":3}
REA kept the task because its checks fail on the seed (new-line) 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-chore-line --agent claude-code --model MODEL