← ClaudeAtlas

app_testlisted

Local-first GUI/app testing by image matching (SikuliX) — turn a small JSON spec referencing your button images into a runnable SikuliX script and run it locally, using a vision NPU (Hailo-8/10) or local vision model instead of cloud vision. Use when the user wants to test a desktop/game/web app "for real" by clicking buttons, has button images already, or mentions SikuliX, image-matching tests, or local UI tests.
zedarvates/botte-secrete · ★ 1 · AI & Automation · score 67
Install: claude install-skill zedarvates/botte-secrete
# app_test — test apps locally by clicking their buttons When you build a UI you already have the button images, so an image-matching bot can drive it — no cloud vision tokens needed. A tiny JSON spec → a runnable SikuliX script. ## Spec → script → run ```bash python -m skills.app_test.cli gen tests/login_flow.json # print the SikuliX script python -m skills.app_test.cli run tests/login_flow.json --out build ``` ```json { "name": "login_flow", "image_dir": "tests/images", "similarity": 0.8, "steps": [ {"do": "wait", "image": "login_btn.png", "timeout": 10}, {"do": "click", "image": "login_btn.png"}, {"do": "type", "text": "user@example.com"}, {"do": "click", "image": "submit.png"}, {"do": "assert_visible", "image": "welcome.png", "timeout": 8}, {"do": "assert_absent", "image": "error.png"} ] } ``` Actions: `wait · click · double_click · right_click · type · sleep · assert_visible · assert_absent`. ## Running it Uses **OculiX** (the maintained SikuliX fork: OpenCV matching + embedded Tesseract OCR, Java) — or any SikuliX. The generated `-r <bundle>` scripts are drop-in compatible with both. Install OculiX (Java 11+ required): download the platform "ide" jar from https://github.com/oculix-org/Oculix/releases and place it at `~/.oculix/oculixide.jar` (auto-detected), or set `OCULIX_JAR=/path/to/jar`. `runsikulix`/`oculix` on PATH also work. `run` always generates the `.sikuli` bundle; it execute