llama-cpp-manage

llama-cpp-manage is a Local & open models skill for AI agents, published by perminder-klair in the locca repository on GitHub. Skillspace rates llama-cpp-manage C (72/100) and it passed the safety scan; the rating is based on static analysis only.

Install, configure, troubleshoot, and operate llama.cpp on Linux or macOS — covers source builds (Debian/Ubuntu apt deps, Arch pacman, Fedora/openSUSE/Alpine, macOS brew), GPU backend selection (Vulkan / Metal / ROCm / CUDA), server lifecycle (port conflicts, health probes, detached vs foreground), pi-coding-agent integration via `~/.pi/agent/models.json`, and per-model tuning (ctx, sampling, vision mmproj, GGUF metadata). USE THIS SKILL whenever the user mentions llama-server, llama-cli, llama-bench, llama.cpp build errors, "my model won't load", "the server failed to start", GGUF files, an OpenAI-compatible local server, port conflicts on 8080/8081, or trouble with the pi coding agent against a local model — even if they don't say "llama.cpp" by name. The user's primary CLI is locca; treat it as the frontend and llama.cpp as the runtime it manages.

Grade
C
Quality
72 / 100
Safety
Passed
GitHub stars
24

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.

View source on GitHubperminder-klair/locca

Our review

Architecture
92 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections
Scope
Vendor-specific: built around one product. llama.cpp install, GPU backends and server ops; useful to any llama.cpp user.

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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