boundary-cases-and-escalation
boundary-cases-and-escalation is a Legal research & case law skill for AI agents, published by h30190 in the HJPLUS_Taiwan_Architect_KB repository on GitHub. Skillspace rates boundary-cases-and-escalation D (68/100) and it passed the safety scan; the rating is based on static analysis only.
This skill should be used when a compliance question falls into a regulatory gray zone — the article uses discretionary wording (認定、核定、必要時、經主管機關認可), interpretations contradict each other, municipalities apply different review standards, or the measurement method is undefined (e.g., net depth of an irregular lobby). It teaches when to stop giving a definitive answer and recommend a formal inquiry (函詢) or pre-review (預審) to the competent authority instead.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 128
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
- 88 / 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 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.