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 ericwang915/PythonClaw --skill tavilygit clone --depth 1 https://github.com/ericwang915/PythonClawWrote 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/ericwang915/pythonclaw/tavily)<a href="https://agentmods.dev/skills/ericwang915/pythonclaw/tavily"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/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/ericwang915/pythonclaw/tavily"><img src="https://agentmods.dev/badge/skills/ericwang915/pythonclaw/tavily.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00075 | $0.00571 |
| Opus 5.5 | $0.00030 | $0.00228 |
| Sonnet 5.5 | $0.00015 | $0.00114 |
| Haiku 4.5 | $0.00007 | $0.00057 |
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 1mo 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.
What it actually says
Tavily Web Search
When to Use
- Search the web for information
- Look up current events or news
- Research a topic with real-time results
- Check facts or verify claims
- Find data, articles, or summaries from the internet
When NOT to Use
- Scraping a specific URL's content — use
web_scraper - Calling a known API endpoint — use
http_request - GitHub or code-specific lookups — use
githubor search
Setup
- Get a free API key at app.tavily.com
- Add to
pythonclaw.json:"tavily": { "apiKey": "tvly-..." } - Install SDK:
pip install tavily-python
Usage/Commands
Use the built-in web_search tool — no script required.
| Parameter | Type | Description | Default |
|---|---|---|---|
query |
string | Search query (be specific) | required |
search_depth |
string | "basic" (fast) or "advanced" (thorough) |
"basic" |
topic |
string | "general", "news", or "finance" |
"general" |
max_results |
integer | Results count (1–20) | 5 |
time_range |
string | "day", "week", "month", "year" |
none |
Examples:
web_search(query="Python 3.13 new features")
web_search(query="AI industry news", topic="news", time_range="week", max_results=10)
web_search(query="NVIDIA stock analysis 2026", topic="finance", search_depth="advanced")
Notes
- Be specific in queries (e.g., "Python asyncio best practices 2026" vs "Python async")
- Use
topic="news"for current events,topic="finance"for market data - Use
time_rangewhen freshness matters - Always cite source URLs in your response
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.
- 1mo ago First seen · 63 lines · 75 tokens per session scan A 26307c2b4391
tavily_search is a skill published in the GitHub repository ericwang915/PythonClaw (45 stars, last pushed 10d ago), licensed MIT. It adds 75 tokens to every session and 571 once invoked, about $0.0003 per session on Opus 5.5. 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.
Other skills, from other repositories
tencent-channel-community
A command-line skill for managing Tencent Channels, QQ-based online communities where members communicate through channels, posts, comments, and private messages.
skill-creator
A guide for creating or improving an agent skill: a SKILL.md file that gives an AI a repeatable workflow for a specific task. It covers the skill’s name, search keywords, instructions, failure handling, and examples where needed.
memory-consolidate
A memory-maintenance skill that stores a small number of durable, searchable facts and keeps the main memory file concise.
qrcode
A tool that creates a PNG QR code from text or a web address. A QR code is a square image that phones can scan to recover the encoded content.
short-url
A tool that turns a long web address into a shorter link using the is.gd service. The input must be a valid HTTP or HTTPS address.
line
A LINE Messaging API connection for receiving and sending chat messages through webhooks. LINE is a messaging platform; a webhook is a web address that receives event notifications from a service.