Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add yoanbernabeu/grepai-skills --skill grepai-embeddings-lmstudiogit clone --depth 1 https://github.com/yoanbernabeu/grepai-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/yoanbernabeu/grepai-skills/grepai-embeddings-lmstudio)<a href="https://agentmods.dev/skills/yoanbernabeu/grepai-skills/grepai-embeddings-lmstudio"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/grepai-skills/grepai-embeddings-lmstudio/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/yoanbernabeu/grepai-skills/grepai-embeddings-lmstudio"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/grepai-skills/grepai-embeddings-lmstudio.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.01787 |
| Opus 5 | $0.00015 | $0.00894 |
| Sonnet 5 | $0.00006 | $0.00357 |
| Haiku 4.5 | $0.00003 | $0.00179 |
Grade A, and why
grepai-embeddings-lmstudio scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl http://localhost:1234/v1/models How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GrepAI Embeddings with LM Studio
This skill covers using LM Studio as the embedding provider for GrepAI, offering a user-friendly GUI for managing local models.
When to Use This Skill
- Want local embeddings with a graphical interface
- Already using LM Studio for other AI tasks
- Prefer visual model management over CLI
- Need to easily switch between models
What is LM Studio?
LM Studio is a desktop application for running local LLMs with:
- 🖥️ Graphical user interface
- 📦 Easy model downloading
- 🔌 OpenAI-compatible API
- 🔒 100% private, local processing
Prerequisites
- Download LM Studio from lmstudio.ai
- Install and launch the application
- Download an embedding model
Installation
Step 1: Download LM Studio
Visit lmstudio.ai and download for your platform:
- macOS (Intel or Apple Silicon)
- Windows
- Linux
Step 2: Launch and Download a Model
- Open LM Studio
- Go to the Search tab
- Search for an embedding model:
nomic-embed-text-v1.5bge-small-en-v1.5bge-large-en-v1.5
- Click Download
Step 3: Start the Local Server
- Go to the Local Server tab
- Select your embedding model
- Click Start Server
- Note the endpoint (default:
http://localhost:1234)
Configuration
Basic Configuration
# .grepai/config.yaml
embedder:
provider: lmstudio
model: nomic-embed-text-v1.5
endpoint: http://localhost:1234
With Custom Port
embedder:
provider: lmstudio
model: nomic-embed-text-v1.5
endpoint: http://localhost:8080
With Explicit Dimensions
embedder:
provider: lmstudio
model: nomic-embed-text-v1.5
endpoint: http://localhost:1234
dimensions: 768
Available Models
nomic-embed-text-v1.5 (Recommended)
| Property | Value |
|---|---|
| Dimensions | 768 |
| Size | ~260 MB |
| Quality | Excellent |
| Speed | Fast |
embedder:
provider: lmstudio
model: nomic-embed-text-v1.5
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 299 lines · 31 tokens per session scan A 5a8443c52f48
grepai-embeddings-lmstudio is a skill published in the GitHub repository yoanbernabeu/grepai-skills (20 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 1,787 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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