ethan-li-k/astra_bench/skill-mint

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

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Auto-mint a new task skill from a DataStore label that's been accumulating successful rollouts. Writes SKILL.md + bundle.yaml so the task becomes a first-class RoboRSI citizen.

Install

npx vskill@latest install ethan-li-k/astra_bench/skill-mint

SKILL.md

The same SKILL.md was published earlier as nssmd/roborsi/skill-mint.

skill_mint — "earn your place in the catalogue"

Overview

This is the skill that closes the flywheel:

  1. You collect rollouts under some ad-hoc label (say handover_block_wip).
  2. Once enough successes have piled up, skill_mint promotes that label

into a real task skill directory with SKILL.md + bundle.yaml.

  1. After minting, roborsi task list / roborsi plan see the new

task and can use it in long-horizon plans.

The minting step is on purpose explicit — we don't want every label leaking into the catalogue. You decide when a label has earned it.

Phases

  1. Scan DataStore.list(source_label). Abort unless

successes >= min_successes.

  1. Compute the aggregate meta (backends seen, cameras seen, task names).
  2. Generate SKILL.md (kind=task) from a template, filling in

description, backends, frontmatter tags derived from sampled metas.

  1. Generate bundle.yaml with the default pipeline

(expert_replay → lerobot_build → pi0_finetune → evaluate_expert).

  1. Write under roborsi/embodied/skills/<domain>/<new_task_name>/.

Success criteria

  • SKILL.md + bundle.yaml land on disk.
  • discover() after minting returns the new task.

Failure modes

SymptomFix
FileExistsError: … already existsRe-run with overwrite=true, or delete the existing dir.
RuntimeError: only N successes, need MCollect more data before minting.

Why

Without this skill, "auto-evolution" is aspirational. With it, the platform can point at its own footprint on disk and say "here are the N tasks I mastered by myself".

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
1
7-day trend score
8

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

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