memtrace-style-fingerprint
memtrace-style-fingerprint is a Coding standards & language idioms skill for AI agents, published by syncable-dev in the memtrace-public repository on GitHub. Skillspace rates memtrace-style-fingerprint D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Pull the codebase's empirical style norm from Memtrace and match it when writing or editing source code in an indexed repo. Use when choosing between competing idioms (ternary vs if-else, arrow vs function declaration, const vs let, await vs .then, early-return vs nested-return), matching naming case, or when the user asks what the convention here is. Do not re-derive style from training priors or maintain a markdown style guide for the project; the fingerprint is sampled live from the actual code.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 430
Unproven: rated by static analysis only, not yet compared head-to-head.
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.
- 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.