porting-methodology
porting-methodology is a Migrations, upgrades & porting skill for AI agents, published by apple in the game-porting-toolkit repository on GitHub. Skillspace rates porting-methodology D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Core development methodology for porting games and engines to Apple platforms. Defines porting goals, milestone lifecycle, debugging escalation, and conventions. Preloaded by the porting agent.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 90
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
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- 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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