lm-studio-subagents

lm-studio-subagents is a Local & open models skill for AI agents, published by TerminalSkills in the skills repository on GitHub. Skillspace rates lm-studio-subagents D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Offload tasks to local LLMs via LM Studio. Use when a user asks to run local models with LM Studio, save API costs by using local LLMs, create subagents with local models, offload summarization or classification to a local model, or use LM Studio's API for batch processing. Covers local model inference, task delegation, and cost optimization.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
109

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.

View source on GitHubTerminalSkills/skills

Our review

Architecture
84 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 1 collections
Scope
Vendor-specific: built around one product. Using LM Studio's local OpenAI-compatible API for offloaded tasks

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

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