ground
ground is a Structured reasoning & decision frameworks skill for AI agents, published by jongwony in the epistemic-protocols repository on GitHub. Skillspace rates ground D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Validate structural mapping between abstract and concrete domains. Constructs domain correspondences and presents concrete instantiations when mapping uncertainty is detected, producing validated mapping. Also recognizes self-grounding (an abstraction validated against its own instances) and derives a split-vs-trim partition reading that routes wrong-fusion recovery. Type: (MappingUncertain, AI, GROUND, R) → ValidatedMapping. Alias: Analogia(ἀναλογία).
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 124
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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