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 malue-ai/dazee-small --skill tavilygit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/tavily)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/tavily"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/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/malue-ai/dazee-small/tavily"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/tavily.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 | $0.00025 | $0.00661 |
| Opus 5 | $0.00013 | $0.00331 |
| Sonnet 5 | $0.00005 | $0.00132 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
tavily scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "https://api.tavily.com/search" \ What it actually says
Tavily AI 搜索
专为 AI Agent 优化的搜索 API，返回干净、结构化的结果，适合 LLM 直接消费。
使用场景
- 需要高质量搜索结果用于调研、写作等复杂任务
- ddg-search 结果不够精确时的升级选项
- deep-research 流程中的搜索后端
前置条件
需要设置环境变量 TAVILY_API_KEY：
- 访问 https://tavily.com/ 注册（免费套餐每月 1000 次）
- 设置：
export TAVILY_API_KEY="tvly-xxxxx"
执行方式
基本搜索
curl -s -X POST "https://api.tavily.com/search" \
-H "Content-Type: application/json" \
-d '{
"api_key": "'$TAVILY_API_KEY'",
"query": "搜索内容",
"search_depth": "basic",
"max_results": 5
}'
深度搜索
curl -s -X POST "https://api.tavily.com/search" \
-H "Content-Type: application/json" \
-d '{
"api_key": "'$TAVILY_API_KEY'",
"query": "搜索内容",
"search_depth": "advanced",
"max_results": 10,
"include_raw_content": true
}'
Python SDK
from tavily import TavilyClient
client = TavilyClient(api_key=os.environ["TAVILY_API_KEY"])
response = client.search(
query="AI agent 市场分析 2026",
search_depth="advanced",
max_results=10,
)
for result in response["results"]:
print(f"Title: {result['title']}")
print(f"URL: {result['url']}")
print(f"Content: {result['content'][:200]}")
print("---")
参数说明
| 参数 | 值 | 说明 |
|---|---|---|
search_depth |
basic / advanced |
basic 快但浅，advanced 慢但全 |
max_results |
1-20 | 返回结果数量 |
include_raw_content |
bool | 是否返回网页原始内容 |
include_domains |
list | 限定搜索域名 |
exclude_domains |
list | 排除域名 |
输出规范
- 搜索结果标注来源 URL 和相关度分数
- advanced 搜索用于深度调研，basic 用于快速查询
- 免费额度有限，简单查询优先用 ddg-search
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.
- 9d ago First seen · 94 lines · 25 tokens per session scan A f5ac3e8501be
tavily is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 25 tokens to every session and 661 once invoked, about $0.0001 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 2026-09-03.
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