stem-reconstruction

stem-reconstruction is a Chemistry & materials skill for AI agents, published by yyt-2378 in the AutoMat repository on GitHub. Skillspace rates stem-reconstruction D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Run and extend the agent_qwen staged STEM image to CIF harness lines. Use when working on agent_qwen_vl_rpc.py, denoise/template-match/STEM-to-CIF orchestration, runtime tool calls, harness state passing, or real/dry-run testing of the legacy AutoMat v1-style agent pipeline.

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
24

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubyyt-2378/AutoMat

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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