Skip to main content

jev-slalom

Design and verify Jev's slalom courses in OpenHarness's viewer, where Jev is the racer steering to thread every gate.

الانتقال إلى التثبيت

معلومات المصدر

المستودع
autonomous-ai/openharness
آخر نشاط في المصدر
١٩ سبتمبر ٢٠٢٦ في ١٨:٠١
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٨٢٢
التفرعات
٦٧

خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
jev-slalom
description
Design and verify Jev's slalom courses in OpenHarness's viewer, where Jev is the racer steering to thread every gate.
# Jev Slalom course design Jev Slalom runs a live course: a line of gates sweeps down a valley and Jev (TypeSafe's System One model) reads its position and the next gate each tick and steers left/right to thread each gap. The agent shapes `slalom.json`: the descent speed, the valley width, and how many gates. ## The loop 1. Update `slalom.json` (title, speed, gates, valleyWidth, optional gateGap, a `style` line that tells Jev a line strategy). The viewer watches it and Jev adapts live — no restart, no second server. 2. `node "$JEV_DSH/toolchain/check.mjs"` verifies the workspace's `slalom.json` is valid. Run it before you call a run done. 3. Watch the descent. Does Jev line up on the next gate, commit as it arrives, and thread a clean run — or never fall (dull) or fall even at calm speed (bad)? That observation is the finding. ## Reading the run The viewer shows a top-down course: the skier descends with a snow trail, gates sweep toward it and light up green as they're threaded, a dashed line marks the target gate, and a finished run shows a CLEAN RUN or FELL banner plus a run log. Good courses produce a readable loop: Jev carves across the valley to the next gate, threads it, and builds a rhythm; `speed` is the difficulty dial — crank it up and Jev's aim wobbles and it clips a gate and falls. ## Verifying a course `node "$JEV_DSH/toolchain/check.mjs"` returns non-zero when `slalom.json` is invalid (no title, a non-positive speed, out-of-range gates/valleyWidth/gateGap/tickMs). It doesn't replace watching the run: confirm Jev threads the gates at the speed you set, and that cranking `speed` up makes it visibly fall. ## Driving Jev yourself `toolchain/jev.mjs` exports a small client. Example (from the workspace) — ask Jev's read on a gate before you commit to it: ```bash node --input-type=module -e ' import { evaluate, jev } from "$JEV_DSH/toolchain/jev.mjs"; const res = await evaluate({ state: "You are skiing the slalom. The skier descends at 3.0 rows/tick. Next gate: x 14.5, gap 6.0. skier x 9.0 gate x 14.5 gate in 1.2. Which way do you steer? LEFT_FAST / LEFT / HOLD / RIGHT / RIGHT_FAST", questions: { steer: jev.choice(["LEFT_FAST", "LEFT", "HOLD", "RIGHT", "RIGHT_FAST"], "Which way do you steer this tick?"), }, }); console.log(JSON.stringify(res.answers, null, 2)); ' ``` Without `TYPESAFE_API_KEY` this uses the deterministic mock; set the key to hit live Jev.
عرض على GitHub