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-ollamagit 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-ollama)<a href="https://agentmods.dev/skills/yoanbernabeu/grepai-skills/grepai-embeddings-ollama"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/grepai-skills/grepai-embeddings-ollama/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-ollama"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/grepai-skills/grepai-embeddings-ollama.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00030 | $0.01813 |
| Opus 5 | $0.00015 | $0.00907 |
| Sonnet 5 | $0.00006 | $0.00363 |
| Haiku 4.5 | $0.00003 | $0.00181 |
Grade A, and why
grepai-embeddings-ollama scanned grade A with 0 findings 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 12d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GrepAI Embeddings with Ollama
This skill covers using Ollama as the embedding provider for GrepAI, enabling 100% private, local code search.
When to Use This Skill
- Setting up private, local embeddings
- Choosing the right Ollama model
- Optimizing Ollama performance
- Troubleshooting Ollama connection issues
Why Ollama?
| Advantage | Description |
|---|---|
| 🔒 Privacy | Code never leaves your machine |
| 💰 Free | No API costs or usage limits |
| ⚡ Speed | No network latency |
| 🔌 Offline | Works without internet |
| 🔧 Control | Choose your model |
Prerequisites
- Ollama installed and running
- An embedding model downloaded
# Install Ollama
brew install ollama # macOS
# or
curl -fsSL https://ollama.com/install.sh | sh # Linux
# Start Ollama
ollama serve
# Download model
ollama pull nomic-embed-text
Configuration
Basic Configuration
# .grepai/config.yaml
embedder:
provider: ollama
model: nomic-embed-text
endpoint: http://localhost:11434
With Custom Endpoint
embedder:
provider: ollama
model: nomic-embed-text
endpoint: http://192.168.1.100:11434 # Remote Ollama server
With Explicit Dimensions
embedder:
provider: ollama
model: nomic-embed-text
endpoint: http://localhost:11434
dimensions: 768 # Usually auto-detected
Available Models
Recommended: nomic-embed-text
ollama pull nomic-embed-text
| Property | Value |
|---|---|
| Dimensions | 768 |
| Size | ~274 MB |
| Speed | Fast |
| Quality | Excellent for code |
| Language | English-optimized |
Configuration:
embedder:
provider: ollama
model: nomic-embed-text
Multilingual: nomic-embed-text-v2-moe
ollama pull nomic-embed-text-v2-moe
| Property | Value |
|---|---|
| Dimensions | 768 |
| Size | ~500 MB |
| Speed | Medium |
| Quality | Excellent |
| Language | Multilingual |
Best for codebases with non-English comments/documentation.
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.
- 12d ago First seen · 345 lines · 30 tokens per session scan E fe2cde7cb8c6
grepai-embeddings-ollama is a skill published in the GitHub repository yoanbernabeu/grepai-skills (20 stars, last pushed 7mo ago), licensed MIT. It adds 30 tokens to every session and 1,813 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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