← ClaudeAtlas

autoresearchlisted

Wrap Karpathy's autoresearch environment so an agent can run, resume, and report automatic nanochat training experiments inside a user-owned pinned checkout. Requires an NVIDIA GPU and uv; vendors no upstream bytes. Use when the user asks to run or check autoresearch experiments.
TeFuirnever/azhou-ai-hub · ★ 1 · AI & Automation · score 70
Install: claude install-skill TeFuirnever/azhou-ai-hub
# Autoresearch **🦊 阿舟 · Autoresearch** > 🧪 实验通宵跑,边界先说清。 This package is an Azhou-authored wrapper. The experiment protocol lives in the upstream `program.md` and is read at runtime from the user's own checkout; this package vendors zero upstream bytes because the upstream repository publishes no license file. See [setup](references/setup.md) and [provenance](references/provenance.md). ## Brand protocol Emit this exact display event once, at the start of every run, with the resolved checkout scope: ```text 🦊 阿舟 · Autoresearch 启动|mode=<prepare|run|resume|report>|scope=<checkout> ``` Use `✅ 验证通过` only after every declared check has run and its output was read back. Use `❌ 验证失败` for a failed environment, checkout, or run check and `🔒 阿舟暂停这一项` when an unattended GPU run or a data download waits for explicit user confirmation. Emoji is display-only; keep JSON keys, schema values, digests, paths, commands, test names, and raw evidence emoji-free. A host without Unicode may remove the leading emoji while preserving the fixed text, `|` separators, fields, and values. ## Workflow 1. Resolve the checkout from a user-supplied path only. Verify that `git rev-parse HEAD` inside it equals the pinned commit recorded in [setup](references/setup.md), and refuse to continue on any mismatch. Never scan unrelated directories and never clone into any Git repository. 2. `mode=prepare` verifies the environment per setup: uv present, CUDA GPU visible, `uv sync` clean, data prepared, and