bundle/README.md

Geany computer app

Exported by REA's export-desktop-application from a capture of the geany package (capture Evidence ev_4684c2005297be81cf1370fb88326bd891831f5d8ffde813cc0b2e4bca4659a9). It was checked against agentenv-framework 0.9.1431.

• envs/geany/ is a computer app on the ubuntu-24.04 base with the reference driver, for amd64 and arm64. It installs geany from the distribution archive, launches sh -c exec 'geany' "$HOME"/'Documents/shop/settings.py' at boot and is ready when a window of class Geany appears.
• Owned paths: ~/.config/geany, ~/Documents/shop. data/get returns their files and a typed JSON view of each; data/reset restores the seed.
• Seed: 6 file(s) from the user's home before the capture, with the captured home path respelled in text files.
• tasks/smoke.json deploys the app.

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

The seed is synthetic test data made for this showcase; it holds no one's real files.

Task debug-off

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

In the shop's settings.py open in Geany, turn debug mode off and change the port to 8080, then save the file.

Checks, each of which must pass:

• changed: {"kind":"lines_present","file":"Documents/shop/settings.py","lines":["DEBUG = False","PORT = 8080"]}
• old-gone: {"kind":"lines_absent","file":"Documents/shop/settings.py","lines":["DEBUG = True","PORT = 8000"]}
• rest-kept: {"kind":"lines_present","file":"Documents/shop/settings.py","lines":["APP_NAME = \"Corner Shop\"","HOST = \"127.0.0.1\"","DATABASE_URL = \"sqlite:///shop.db\"","ITEMS_PER_PAGE = 20","CURRENCY = \"EUR\""]}

REA kept the task because its checks fail on the seed (changed, old-gone) 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 debug-off --agent claude-code --model MODEL