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 IvanLi-CN/tavily-hikari --skill tavily-hikari-best-practicesgit clone --depth 1 https://github.com/IvanLi-CN/tavily-hikariWrote 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/ivanli-cn/tavily-hikari/tavily-hikari-best-practices)<a href="https://agentmods.dev/skills/ivanli-cn/tavily-hikari/tavily-hikari-best-practices"><img src="https://agentmods.dev/badge/skills/ivanli-cn/tavily-hikari/tavily-hikari-best-practices/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/ivanli-cn/tavily-hikari/tavily-hikari-best-practices"><img src="https://agentmods.dev/badge/skills/ivanli-cn/tavily-hikari/tavily-hikari-best-practices.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 | $0.00025 | $0.00294 |
| Opus 5 | $0.00013 | $0.00147 |
| Sonnet 5 | $0.00005 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
tavily-hikari-best-practices 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.
What it actually says
Tavily Hikari Best Practices
Use this skill when deciding how to call Tavily Hikari from an agent workflow.
Rules
-
Use
tvly-hikari ... --jsonfor agent-readable output. -
Use Hikari tokens beginning with
th-; never paste official Tavily API keys into downstream agents or user machines. -
Configure Hikari once:
tvly-hikari configure --base-url https://<your-hikari-host> --token th-<id>-<secret> -
Treat
/mcpand/api/tavily/*as different integration surfaces:- MCP clients use
https://<your-hikari-host>/mcpwith bearer auth. - CLI and HTTP-style clients use
https://<your-hikari-host>/api/tavily.
- MCP clients use
-
Keep searches narrow, save large outputs with
-oor--output-dir, and cite source URLs when answering factual questions. -
Do not test against Tavily production upstream unless the operator explicitly approves it; use local or sandbox Hikari endpoints for smoke tests.
Quick Smoke
tvly-hikari doctor
tvly-hikari search "Tavily Hikari smoke test" --json
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 · 35 lines · 25 tokens per session scan A 6878c01508ec
tavily-hikari-best-practices is a skill published in the GitHub repository IvanLi-CN/tavily-hikari (348 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 294 once invoked, about $0.0001 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.
Other skills, from other repositories
status-card-query
Create and maintain agent-authored Paperclip status cards, or compile a prose interest prompt into bounded CompanySearchQuery objects and write the first summary from the assigned Summarizer run.
gpt-researcher
Autonomous deep research from Codex via MCP.
bilibili_search
Search for videos on Bilibili using keyword queries generated from user interests.
vs-search-tuning-specify-policy-direction
Viking Search tuning for specified policy directions. Use this when the user provides specific queries, a type of query, or a business policy direction, and asks to boost, suppress, or fix a class of search results through request-parameter passthrough. You must only perform read-only baseline evaluation and…
vs-search-tuning-partial-case
Use when the user provides 1-50 concrete bad-case search queries for one Viking Search app and wants local deterministic fixes. This skill only verifies request-level fine-operation interventions against a read-only baseline scene and delivers a console-ready configuration sheet, validated payloads, and a replay…
site-config-creation
Create or update the [site] section of stencila.toml for published Stencila sites. Use when asked to configure site domain, title, author, logo, icons, labels, descriptions, socials, featured content, navigation, routes, access, layout presets and regions, glide, search, formats, reviews, uploads, remotes, actions…