astronomical-observation-method
astronomical-observation-method is a Faith & spirituality skill for AI agents, published by baojie in the shiji-kb repository on GitHub. Skillspace rates astronomical-observation-method D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when interpreting celestial phenomena for governance guidance or predicting earthly events. Tracks the five planets (五星) against 28 constellations (二十八宿) and applies the response framework: 日变脩德, 月变省刑, 星变结和.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 2,758
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.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.