turbofit
turbofit is a Local & open models skill for AI agents, published by SouthpawIN in the sirvir repository on GitHub. Skillspace rates turbofit B (83/100) and it passed the safety scan; the rating is based on static analysis only.
Opinionated unified LLM backend (turbofit v5.1). Picks the best main + aux model for your hardware — local or API — launches them detached, wires Hermes-Agent config, and adapts to live VRAM pressure via a scaling ladder. Three hardware tiers: Beefy (local+local), Modest (API+local), Thin (API+API). `serve auto main` auto-detects GPU and suggests the right setup. API fallback is always available (free: DeepSeek V4 Pro + Kimi K2.6). Replaces llama-launch, omni-va, and ad-hoc llama-server scripts. Catalog schema supports per-model binary pinning (atomic fork vs stock), named flag presets (nextn, draft-mtp, turbo4-kv, vision-mmproj), tier ladder (s/sf/sd/f/c), and the 64K Hermes context floor is enforced everywhere. End-user UX is `serve auto main` and the user is done.
- Grade
- B
- Quality
- 83 / 100
- Safety
- Passed
- GitHub stars
- 25
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
- 88 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. End-user usage of the turbofit backend tool and Hermes config
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
- 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.