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 OpenMinis/MinisSkills --skill tavily-searchgit clone --depth 1 https://github.com/OpenMinis/MinisSkillsWrote 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/openminis/minisskills/tavily-search)<a href="https://agentmods.dev/skills/openminis/minisskills/tavily-search"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/tavily-search/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/openminis/minisskills/tavily-search"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/tavily-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Agent Snooping · line 74 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00125 | $0.00755 |
| Opus 5 | $0.00063 | $0.00378 |
| Sonnet 5 | $0.00025 | $0.00151 |
| Haiku 4.5 | $0.00013 | $0.00076 |
Grade A, and why
tavily-search 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tavily Search Web Search
This skill provides the ability to search the internet for information in real time, using the Tavily API to obtain high-quality web results, summaries, and links.
Use Cases
- Real-Time Information: Find the latest news, version updates, company announcements, social events, and technology news.
- Resource Location: Search for official documentation, developer manuals, entry points to original papers, online course pages, and official tool websites.
- Fact-Checking: Answer questions containing time-sensitive terms such as "recent," "current," "latest," "official website," or "today."
- In-Depth Background: Before answering complex questions, use search to gather industry background or multiple perspectives.
Dependencies and Configuration
- Dependencies:
python3, Python packagetavily-python. - Environment Variable:
TAVILY_API_KEYmust be set.
Environment Variable Configuration
If the environment variable is not configured, you can quickly set it using the following link:
If a dependency is missing from the environment, run:
python3 -m pip install tavily-python
Tools and Scripts
This skill includes one core Python script that supports text and JSON output.
Script Location
/var/minis/skills/tavily-search/scripts/search.py
Command Examples
# Basic search (default text output, including title/URL/summary)
python3 scripts/search.py "Python 3.13 New Features"
# Specify the number of results to return
python3 scripts/search.py "Shanghai Events This Week" --max 8
# Get JSON format (suitable for further processing by the model)
python3 scripts/search.py "Rust Web Framework" --format json
# Include the reference answer generated by the API (if any)
python3 scripts/search.py "What is RAG Technology" --include-answer
Parameter Description
query(positional argument): Search keyword.--max: Number of results to return. Default is 5.--format:text(default) orjson.--include-answer: Boolean switch. In text mode, displays the API-aggregatedanswerfield.
What ships with it
2 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.
- 12d ago First seen · 75 lines · 125 tokens per session scan A ec6e86ae217c
tavily-search is a skill published in the GitHub repository OpenMinis/MinisSkills (410 stars, last pushed yesterday), licensed MIT. It adds 125 tokens to every session and 755 once invoked, about $0.0006 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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