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-openaigit 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-openai)<a href="https://agentmods.dev/skills/yoanbernabeu/grepai-skills/grepai-embeddings-openai"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/grepai-skills/grepai-embeddings-openai/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-openai"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/grepai-skills/grepai-embeddings-openai.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 | $0.00028 | $0.02152 |
| Opus 5.5 | $0.00011 | $0.00861 |
| Sonnet 5.5 | $0.00006 | $0.00430 |
| Haiku 4.5 | $0.00003 | $0.00215 |
Grade A, and why
grepai-embeddings-openai 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 6d 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 — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GrepAI Embeddings with OpenAI
This skill covers using OpenAI's embedding API with GrepAI for high-quality, cloud-based embeddings.
When to Use This Skill
- Need highest quality embeddings
- Team environment with shared infrastructure
- Don't want to manage local embedding server
- Willing to trade privacy for quality/convenience
Considerations
| Aspect | Details |
|---|---|
| ✅ Quality | State-of-the-art embeddings |
| ✅ Speed | Fast, no local compute needed |
| ✅ Scalability | Handles any codebase size |
| ⚠️ Privacy | Code sent to OpenAI servers |
| ⚠️ Cost | Pay per token |
| ⚠️ Internet | Requires connection |
Prerequisites
- OpenAI API key
- Billing enabled on OpenAI account
Get your API key at: https://platform.openai.com/api-keys
Configuration
Basic Configuration
# .grepai/config.yaml
embedder:
provider: openai
model: text-embedding-3-small
Set the environment variable:
export OPENAI_API_KEY="sk-..."
With no api_key and no endpoint, grepai uses the official endpoint (https://api.openai.com/v1) and reads OPENAI_API_KEY from the environment.
Note: grepai does not expand variables in
config.yaml.api_key: ${OPENAI_API_KEY}is sent as the literal string${OPENAI_API_KEY}; leaveapi_keyout to use the environment variable.
With Parallel Processing
embedder:
provider: openai
model: text-embedding-3-small
parallelism: 8 # Concurrent requests for speed
Direct API Key (Not Recommended)
embedder:
provider: openai
model: text-embedding-3-small
api_key: sk-your-api-key-here # Avoid committing secrets!
Warning: Never commit API keys to version control.
Available Models
text-embedding-3-small (Recommended)
| Property | Value |
|---|---|
| Dimensions | 1536 |
| Price | $0.00002 / 1K tokens |
| Quality | Very high |
| Speed | Fast |
Best for: Most use cases, good balance of cost/quality.
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.
- 6d ago Changed · +12 lines 22271c167bcb
- 2mo ago First seen · 299 lines · 28 tokens per session scan A 4967e1054851
grepai-embeddings-openai is a skill published in the GitHub repository yoanbernabeu/grepai-skills (20 stars, last pushed 7d ago), licensed MIT. It adds 28 tokens to every session and 2,152 once invoked, about $0.0001 per session on Opus 5.5. 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.
grepai-embeddings-openai compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| grepai-embeddings-openaiyoanbernabeu/grepai-skills | Skill | 20 | 7d ago | MIT | A | 28 | Claude Code |
| gnogmickel/gno | Skill | 117 | 4d ago | MIT | A | 86 | Claude Code |
| qdrant-model-migrationqdrant/skills | Skill | 267 | yesterday | Apache-2.0 | A | 88 | Claude Code |
| qdrant-multitenancyqdrant/skills | Skill | 267 | yesterday | Apache-2.0 | A | 109 | Claude Code |
| qdrant-search-speed-optimizationqdrant/skills | Skill | 267 | yesterday | Apache-2.0 | A | 78 | Claude Code |
| qdrant-migration-toolqdrant/skills | Skill | 267 | yesterday | Apache-2.0 | A | 156 | Claude Code |
| qdrant-hybrid-cloud-setupqdrant/skills | Skill | 267 | yesterday | Apache-2.0 | A | 156 | Claude Code |