Borrowing it
Nothing to install: this file belongs to onvoyage-ai/voyage-geo-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/onvoyage-ai/voyage-geo-agent/main/CLAUDE.mdgit clone --depth 1 https://github.com/onvoyage-ai/voyage-geo-agentWrote 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/instructions/onvoyage-ai/voyage-geo-agent/claude-md)<a href="https://agentmods.dev/instructions/onvoyage-ai/voyage-geo-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/onvoyage-ai/voyage-geo-agent/claude-md/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/instructions/onvoyage-ai/voyage-geo-agent/claude-md"><img src="https://agentmods.dev/badge/instructions/onvoyage-ai/voyage-geo-agent/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01806 | $0.01806 |
| Opus 5.5 | $0.00722 | $0.00722 |
| Sonnet 5.5 | $0.00361 | $0.00361 |
| Haiku 4.5 | $0.00181 | $0.00181 |
Grade A, and why
voyage-geo-agent CLAUDE.md 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 2mo 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.
bash <(curl -fsSL https://raw.githubusercontent.com/onvoyage-ai/voyage-geo-agent/main/install-skills.sh) How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voyage GEO — Development Guide
What This Is
Voyage GEO is an open source GEO (Generative Engine Optimization) tool, designed to be used through Claude Code. It analyzes how AI models (ChatGPT, Claude, Gemini, Perplexity) reference and recommend brands. Think of it as SEO analytics, but for AI search engines.
How to Use (AI Agent Skills)
Skills work with Claude Code, OpenClaw, and any agent supporting SKILL.md. Install with:
bash <(curl -fsSL https://raw.githubusercontent.com/onvoyage-ai/voyage-geo-agent/main/install-skills.sh)
Two slash commands:
/geo-run— Full GEO analysis. Handles setup, brand research, query generation, execution, analysis, and reporting./geo-leaderboard— Category-wide brand comparison. Ranks all brands in a category by AI visibility.
Start with /geo-run.
Architecture
Python pipeline-based tool with 5 stages:
[Brand Input] → Research → Generate Queries → Run Against AI Models → Analyze Results → Generate Reports
Key Patterns
- Provider plugin system —
BaseProviderABC insrc/voyage_geo/providers/base.py - Pipeline + RunContext — stages run sequentially, each saving output to disk
- Registry pattern — providers, analyzers, query strategies are all pluggable
- Pydantic v2 models —
src/voyage_geo/config/schema.pyis the single source of truth for config types - File-based storage — each run is a self-contained directory under
data/runs/ - VADER sentiment — production-grade sentiment analysis via vaderSentiment
- Async throughout — all providers use async SDKs (AsyncOpenAI, AsyncAnthropic, google-genai async)
Directory Layout
src/voyage_geo/
__init__.py # Package root + version
cli.py # CLI entry (Typer + Rich)
config/ # Pydantic schemas, defaults, config loader
core/ # Engine, pipeline, context, errors
providers/ # AI model providers (openai, anthropic, google, perplexity)
stages/ # 5 pipeline stages
research/ # Stage 1: Brand research + web scraping
query_generation/ # Stage 2: Generate search queries (4 AI-powered strategies)
execution/ # Stage 3: Run queries against providers
analysis/ # Stage 4: Analyze results (6 analyzers)
reporting/ # Stage 5: Generate reports (HTML/JSON/CSV/Markdown + plotly charts)
storage/ # File-based persistence
types/ # Shared Pydantic type definitions
utils/ # Text helpers, Rich progress displays
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.
- 2mo ago First seen · 140 lines · 1,806 tokens per session scan A fa6309c1e6ee
voyage-geo-agent CLAUDE.md is an instructions file published in the GitHub repository onvoyage-ai/voyage-geo-agent (385 stars, last pushed 8mo ago), licensed MIT. It adds 1,806 tokens to every session, about $0.0072 per session on Opus 5.5. 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.
voyage-geo-agent CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| voyage-geo-agent CLAUDE.mdonvoyage-ai/voyage-geo-agent | Instructions file | 385 | 8mo ago | MIT | A | 1,806 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |