severance-damages-quantification
severance-damages-quantification is a Legal research & case law skill for AI agents, published by reggiechan74 in the vp-real-estate repository on GitHub. Skillspace rates severance-damages-quantification B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Use when valuing the remainder after a partial taking — quantifying frontage loss by road class ($/linear foot), circuitous-access capitalization, landlocked-parcel easement cost-to-cure, shape-efficiency-driven development yield loss, or farm operation disruption (fencing, equipment crossings, irrigation severance). Before/after method with cost-to-cure vs. value-loss reconciliation.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 25
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
- Structured: ships references or scripts
- 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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