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-config-referencegit 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-config-reference)<a href="https://agentmods.dev/skills/yoanbernabeu/grepai-skills/grepai-config-reference"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/grepai-skills/grepai-config-reference/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-config-reference"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/grepai-skills/grepai-config-reference.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 | $0.00026 | $0.01982 |
| Opus 5 | $0.00013 | $0.00991 |
| Sonnet 5 | $0.00005 | $0.00396 |
| Haiku 4.5 | $0.00003 | $0.00198 |
Grade A, and why
grepai-config-reference 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GrepAI Configuration Reference
This skill provides a complete reference for all GrepAI configuration options in .grepai/config.yaml.
When to Use This Skill
- Understanding all available configuration options
- Optimizing GrepAI for your specific use case
- Troubleshooting configuration issues
- Setting up advanced configurations
Configuration File Location
/your/project/.grepai/config.yaml
Complete Configuration Schema
version: 1
# ═══════════════════════════════════════════════════════════════
# EMBEDDER CONFIGURATION
# Converts code text into vector embeddings
# ═══════════════════════════════════════════════════════════════
embedder:
# Provider: ollama | openai | lmstudio
provider: ollama
# Model name (depends on provider)
# Ollama: nomic-embed-text, bge-m3, mxbai-embed-large
# OpenAI: text-embedding-3-small, text-embedding-3-large
# LM Studio: nomic-embed-text-v1.5, bge-small-en-v1.5
model: nomic-embed-text
# API endpoint URL
# Ollama default: http://localhost:11434
# LM Studio default: http://localhost:1234
# OpenAI: uses official API
endpoint: http://localhost:11434
# Vector dimensions (auto-detected if omitted)
# nomic-embed-text: 768
# text-embedding-3-small: 1536
# text-embedding-3-large: 3072
dimensions: 768
# API key (for OpenAI, supports env vars)
api_key: ${OPENAI_API_KEY}
# Parallel requests (OpenAI only, for speed)
parallelism: 4
# ═══════════════════════════════════════════════════════════════
# STORE CONFIGURATION
# Where vector embeddings are stored
# ═══════════════════════════════════════════════════════════════
store:
# Backend: gob | postgres | qdrant
backend: gob
# PostgreSQL configuration (when backend: postgres)
postgres:
dsn: postgres://user:password@localhost:5432/grepai
# Qdrant configuration (when backend: qdrant)
qdrant:
endpoint: localhost
port: 6334
use_tls: false
api_key: your-qdrant-api-key # Optional
# ═══════════════════════════════════════════════════════════════
# CHUNKING CONFIGURATION
# How code files are split for embedding
# ═══════════════════════════════════════════════════════════════
chunking:
# Tokens per chunk (smaller = more precise, larger = more context)
# Recommended: 256-1024
size: 512
# Overlap between chunks (preserves context at boundaries)
# Recommended: 10-20% of size
overlap: 50
# ═══════════════════════════════════════════════════════════════
# WATCH CONFIGURATION
# File watching daemon settings
# ═══════════════════════════════════════════════════════════════
watch:
# Debounce delay in milliseconds
# Groups rapid file changes together
debounce_ms: 500
# ═══════════════════════════════════════════════════════════════
# TRACE CONFIGURATION
# Call graph analysis settings
# ═══════════════════════════════════════════════════════════════
trace:
# Extraction mode: fast | precise
# fast: Uses regex, no dependencies, faster
# precise: Uses tree-sitter AST parsing, more accurate
mode: fast
# Languages to analyze for call graphs
enabled_languages:
- .go
- .js
- .ts
- .jsx
- .tsx
- .py
- .php
- .c
- .h
- .cpp
- .hpp
- .cc
- .cxx
- .rs
- .zig
- .cs
- .pas
- .dpr
# Patterns to exclude from trace analysis
exclude_patterns:
- "*_test.go"
- "*.spec.ts"
- "*.test.js"
# ═══════════════════════════════════════════════════════════════
# SEARCH CONFIGURATION
# Search result scoring and ranking
# ═══════════════════════════════════════════════════════════════
search:
# Score boosting configuration
boost:
enabled: true
# Reduce scores for certain paths
penalties:
- pattern: /tests/
factor: 0.5
- pattern: _test.
factor: 0.5
- pattern: .spec.
factor: 0.5
- pattern: /docs/
factor: 0.6
- pattern: /vendor/
factor: 0.3
- pattern: /node_modules/
factor: 0.3
# Increase scores for certain paths
bonuses:
- pattern: /src/
factor: 1.1
- pattern: /lib/
factor: 1.1
- pattern: /core/
factor: 1.2
- pattern: /app/
factor: 1.1
# Hybrid search (vector + keyword)
hybrid:
enabled: false
k: 60 # BM25 parameter
# ═══════════════════════════════════════════════════════════════
# IGNORE CONFIGURATION
# Files and directories to exclude from indexing
# ═══════════════════════════════════════════════════════════════
ignore:
# Directories
- .git
- .grepai
- .svn
- .hg
- node_modules
- vendor
- target
- __pycache__
- .pytest_cache
- dist
- build
- out
- .next
- .nuxt
# Files
- "*.min.js"
- "*.min.css"
- "*.bundle.js"
- "*.map"
- "*.lock"
- package-lock.json
- yarn.lock
- pnpm-lock.yaml
- go.sum
# Generated
- "*.generated.*"
- "*.pb.go"
- "*.d.ts"
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 · 337 lines · 26 tokens per session scan A 0a8361c3bd98
grepai-config-reference is a skill published in the GitHub repository yoanbernabeu/grepai-skills (20 stars, last pushed 7mo ago), licensed MIT. It adds 26 tokens to every session and 1,982 once invoked, about $0.0001 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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