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 itechmeat/llm-code --skill tavilygit clone --depth 1 https://github.com/itechmeat/llm-codeWrote 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/itechmeat/llm-code/tavily)<a href="https://agentmods.dev/skills/itechmeat/llm-code/tavily"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/tavily/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/itechmeat/llm-code/tavily"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/tavily.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 64 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 67 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00089 | $0.01682 |
| Opus 5.5 | $0.00036 | $0.00673 |
| Sonnet 5.5 | $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 24d 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.
- 24d ago Changed 153c1cc2437b
- 1mo ago Changed c10ea1a912bc
- 1mo ago First seen · 226 lines · 89 tokens per session scan A 579463dce89c
tavily is a skill published in the GitHub repository itechmeat/llm-code (24 stars, last pushed 24d ago), licensed MIT. It adds 89 tokens to every session and 1,682 once invoked, about $0.0004 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.
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