# KiCad Schematic Editor (Standalone) computer app Exported by REA's `export-desktop-application` from a capture of the `kicad` package (capture Evidence `ev_586ce4682a16a7015d3ed5fc762a91735214708df4fb45dac25b061f37c64363`). It was checked against agentenv-framework 0.9.1431. - `envs/eeschema/` is a computer app on the `ubuntu-24.04` base with the `reference` driver, for `amd64` and `arm64`. It installs `kicad` from the distribution archive, launches `sh -c exec 'eeschema' "$HOME"/'Documents/led/led.kicad_sch'` at boot and is ready when a window of class `eeschema` appears. - Owned paths: `~/.config/kicad`, `~/Documents/led`. `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 `, 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 `r1-220` `tasks/r1-220.json` deploys the app, has the agent work through the computer from the prompt below, and grades the outcome with `artifacts/r1-220-check/verify.py`, which reads the app's `data/get` views and needs no model. `evals/eeschema.toml` names it, so a run of the bundle runs it. > In the USB LED indicator schematic open in KiCad's Schematic Editor, change resistor R1's value from 330 to 220 (ohms), then save the schematic. Checks, each of which must pass: - `r1-is-220`: `{"kind":"line_count","file":"Documents/led/led.kicad_sch","contains":"(property \"Value\" \"220\"","equals":1}` - `no-330`: `{"kind":"line_count","file":"Documents/led/led.kicad_sch","contains":"(property \"Value\" \"330\"","equals":0}` - `r1-kept`: `{"kind":"line_count","file":"Documents/led/led.kicad_sch","contains":"(property \"Reference\" \"R1\"","equals":1}` - `led-kept`: `{"kind":"line_count","file":"Documents/led/led.kicad_sch","contains":"(property \"Value\" \"LED_Green\"","equals":1}` REA kept the task because its checks fail on the seed (`r1-is-220`, `no-330`) 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 --task r1-220 --agent claude-code --model MODEL