ethan-li-k/astra_bench/clean-table

Claude Code and agent skill by ethan-li-k/astra_bench

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Clear a tabletop of arbitrary objects by composing atomic skills. Decomposed at runtime by VLM, judged step-by-step, logged for post-training.

Install

npx vskill@latest install ethan-li-k/astra_bench/clean-table

SKILL.md

The same SKILL.md was published earlier as nssmd/roborsi/clean-table.

clean_table (long_horizon)

每个 long_horizon task 自带 task 特定的 progress_judge / posttrain,且只跟此 task 相关——不是平台共享的全局 skill。 共性的判定/训练逻辑在 _lib/(progress_score / pi0_posttrain),子 skill 只是把任务特定的 prompts / 判定标准注入。规划与执行统一走 3-role 三角(LHPlanner → LHExecutor → LHReviewer)。

task 特化

sub-skill它知道的 task 特定信息
progress_judge/metadata.vlm_prompts.progress_check,每 atomic 跑前/跑后的图像对
posttrain/metadata.posttrain.reward_recipe

执行循环

1. LHPlanner(读 frontmatter + wiki)→ ordered atomics 序列
2. LHExecutor:for atomic in 序列:
run atomic 的 active_executor
per-atomic Reviewer → done / retry / replan
3. LHReviewer → 总体 verdict;posttrain/(读 frontmatter) → 联合 RL

现状

candidate_atomics 只有 1 个(beat_block_hammer)。这个 long_horizon 暂时无法真跑——它需要 ≥ 2 个 atomic 才有意义。骨架在这是为了让"加新 atomic 后立刻可串起来"成立。

Security

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