Conceptual Spacecraft Design and Engineering
Conceptual Spacecraft Design and Engineering is a Physics, mathematics & simulation skill for AI agents, published by ECNU-ICALK in the AutoSkill repository on GitHub. Skillspace rates Conceptual Spacecraft Design and Engineering C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Generates detailed conceptual designs for autonomous, deep-space exploration spacecraft, focusing on bio-inspired forms (e.g., spermatozoa cell), advanced multi-layered shielding systems (hydrogen aerogel, boron-polyethylene, tungsten), self-replicating maintenance drones ('crabbie fellows'), and long-duration power/data solutions (nuclear reactors, 5D crystalline storage).
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 518
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 3 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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