localmaxxing-cli
localmaxxing-cli is an LLM evaluation & observability skill for AI agents, published by LottoLottoLotto in the localmaxxing-cli repository on GitHub. Skillspace rates localmaxxing-cli C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Use the LocalMaxxing CLI (the `lmx` binary) to benchmark local and remote LLM inference (tokens/sec, TTFT, peak VRAM), run quality evals (custom suites, lm-eval harness, LM-judge, eval shards, Terminal-Bench), generate hardware metadata, run KV-cache context sweeps, and submit results to localmaxxing.com. Covers authentication, choosing local vs remote benchmark mode, controlling the benchmark prompt for spec-decode-representative numbers, dry-run validation, saved runs and profiles, and reading live enums via `lmx context`.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 21
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
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.