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 agentmods add skills/itechmeat/llm-code/tavilynpx skills add itechmeat/llm-code --skill tavilygit clone --depth 1 https://github.com/itechmeat/llm-codeWhat 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 | $0.00089 | $0.01682 |
| Opus 5 | $0.00044 | $0.00841 |
| Sonnet 5 | $0.00018 | $0.00336 |
| Haiku 4.5 | $0.00009 | $0.00168 |
Grade A, and why
tavily 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 2d 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 -X POST https://api.tavily.com/search \ How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tavily
AI-optimized search engine for building LLM applications with real-time web data.
Links
Quick Navigation
| Topic | Reference |
|---|---|
| REST API | api.md |
| Python SDK | python.md |
| JavaScript SDK | javascript.md |
| Best Practices | best-practices.md |
| Integrations | integrations.md |
When to Use
- Building RAG applications with real-time web data
- AI agents that need current information
- Content extraction from web pages
- Site crawling with AI-guided instructions
- Autonomous research tasks
Installation
Install: pip install tavily-python (Python) or npm i @tavily/core (JavaScript).
Quick Start
Python
from tavily import TavilyClient
client = TavilyClient(api_key="tvly-YOUR_API_KEY")
response = client.search("What is the latest news about AI?")
print(response)
JavaScript
import { tavily } from "@tavily/core";
const client = tavily({ apiKey: "tvly-YOUR_API_KEY" });
const response = await client.search("What is the latest news about AI?");
console.log(response);
cURL
curl -X POST https://api.tavily.com/search \
-H "Content-Type: application/json" \
-H "Authorization: Bearer tvly-YOUR_API_KEY" \
-d '{"query": "What is the latest news about AI?"}'
Core APIs
| API | Purpose | Credits |
|---|---|---|
| Search | Web search optimized for LLMs | 1-2 per request |
| Extract | Extract content from URLs | 1-2 per 5 URLs |
| Map | Map website structure | 1-2 per 10 pages |
| Crawl | Crawl + extract from sites | Map + Extract |
| Research | Autonomous deep research (beta) | 4-250 per task |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 226 lines · 89 tokens per session scan A 579463dce89c
tavily is a skill published in the GitHub repository itechmeat/llm-code (22 stars, last pushed 1mo ago), licensed MIT. It adds 89 tokens to every session and 1,682 once invoked, about $0.0004 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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