Agent skill

Tavily Hikari Research

by IvanLi-CN in IvanLi-CN/tavily-hikari

Run multi-step Tavily research through Tavily Hikari with tvly-hikari.

MITAuto-check passedProductivity & Automation

Install Tavily Hikari Research

skills CLI
$ npx skills add IvanLi-CN/tavily-hikari --skill tavily-hikari-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install IvanLi-CN/tavily-hikari tavily-hikari-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/IvanLi-CN/tavily-hikari.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tavily-hikari-research .claude/skills/tavily-hikari-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tavily-hikari-research
GitHub stars
362
Token cost
~289 tokens
SKILL.md length
94 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Run multi-step Tavily research through Tavily Hikari with tvly-hikari.

  • Works in 4 steps: Write a concise research question with… → Run → Save the response for longer… → …
  • Tasks that involve Web search
  • SKILL.md covers Workflow and Hikari Notes
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tavily Hikari Research is an agent skill from IvanLi-CN/tavily-hikari. Run multi-step Tavily research through Tavily Hikari with tvly-hikari.

Its SKILL.md is about 290 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Web search. It works with Tavily. The licence is MIT.

When your agent uses it

  • Tasks that involve Web search

Example prompts

  • “/tavily-hikari-research”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Write a concise research question with scope, date, geography, and source constraints.
  2. Run
  3. Save the response for longer investigations
  4. If the official CLI returns an async request id, inspect or wait for the result through the

What it can do on your machine

Read from SKILL.md and the folder at commit fcc143a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tavily Hikari Research loads about 289 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 94 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~289

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from IvanLi-CN/tavily-hikari at commit fcc143a, republished under its MIT licence (© IvanLi-CN). 94 words, ~289 tokens.

Download SKILL.mdSave it as .claude/skills/tavily-hikari-research/SKILL.md (or your agent's skills folder).
name
tavily-hikari-research
description
Run multi-step Tavily research through Tavily Hikari with tvly-hikari.

Tavily Hikari Research

Use this skill when the task needs multi-step Tavily research through Tavily Hikari.

Workflow

  1. Write a concise research question with scope, date, geography, and source constraints.

  2. Run:

    bash
    tvly-hikari research "Compare Tavily CLI, Agent Skills, and MCP for AI agents" --json
  3. Save the response for longer investigations:

    bash
    tvly-hikari research "Compare Tavily CLI, Agent Skills, and MCP for AI agents" --json -o tavily-research.json
  4. If the official CLI returns an async request id, inspect or wait for the result through the official follow-up commands exposed by the wrapper:

    bash
    tvly-hikari research status <request-id> --json
    tvly-hikari research poll <request-id> --json -o tavily-research.json

Hikari Notes

  • Requests go to the configured Hikari /api/tavily/research facade.
  • Hikari token quota applies to research calls.
  • Hikari audit logs retain the downstream token context while upstream keys remain private.

© IvanLi-CN, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/tavily-hikari-research of IvanLi-CN/tavily-hikari.

Open the folder on GitHubat commit fcc143a

Compare with similar skills

Tavily Hikari Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tavily Hikari Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tavily Hikari Research this skillIvanLi-CN/tavily-hikari362—~289Automated safety check: PassMIT
Ultimate Searchckckck/UltimateSearchSkill289—~944Automated safety check: NotesMIT
Web SearchEXboys/skilllite1702 repos~1kAutomated safety check: PassMIT
Mysearchskernelx/MySearch-Proxy159—~3kAutomated safety check: NotesNone
Tavilyopenclaw/openclaw392k2 repos~1.2kAutomated safety check: PassMIT
Web Search Plus Plugin V2robbyczgw-cla/web-search-plus-plugin101—~2kAutomated safety check: NotesMIT

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  • Tavily Hikari Extract

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  • Tavily Hikari Map

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  • Tavily Hikari Search

    IvanLi-CN/tavily-hikari

    Search the web through Tavily Hikari with tvly-hikari. An agent skill from IvanLi-CN/tavily-hikari.

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Works with

Questions about Tavily Hikari Research

What does Tavily Hikari Research do?

Run multi-step Tavily research through Tavily Hikari with tvly-hikari. Tavily Hikari Research is an agent skill from IvanLi-CN/tavily-hikari. Run multi-step Tavily research through Tavily Hikari with tvly-hikari.

When should I use Tavily Hikari Research?

Tavily Hikari Research fits situations like: tasks that involve Web search.

How do I install Tavily Hikari Research in Claude Code?

Run `npx skills add IvanLi-CN/tavily-hikari --skill tavily-hikari-research -a claude-code`. Or copy the skill folder (skills/tavily-hikari-research in IvanLi-CN/tavily-hikari) into .claude/skills/tavily-hikari-research in your project. Claude Code loads it when a task matches its description.

How do I install Tavily Hikari Research in Codex?

Run `npx skills add IvanLi-CN/tavily-hikari --skill tavily-hikari-research -a codex`. Or copy the skill folder (skills/tavily-hikari-research in IvanLi-CN/tavily-hikari) into .agents/skills/tavily-hikari-research in your project. Codex loads it when a task matches its description.

Can I use Tavily Hikari Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add IvanLi-CN/tavily-hikari --skill tavily-hikari-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tavily-hikari-research, .gemini/skills/tavily-hikari-research, .github/skills/tavily-hikari-research and .opencode/skills/tavily-hikari-research in your project.

What does Tavily Hikari Research need to run?

SKILL.md names no scripts, command-line tools or credentials: Tavily Hikari Research is instructions for the agent only.

Does Tavily Hikari Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tavily Hikari Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tavily Hikari Research use?

Tavily Hikari Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tavily Hikari Research use?

About 289 tokens (SKILL.md is roughly 1.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tavily Hikari Research?

Skills that share tags, products or a category with Tavily Hikari Research: Ultimate Search (ckckck/UltimateSearchSkill, 289 stars), Web Search (EXboys/skilllite, 170 stars), Mysearch (skernelx/MySearch-Proxy, 159 stars) and Tavily (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tavily Hikari Research?

IvanLi-CN (a GitHub user) maintains it in IvanLi-CN/tavily-hikari, which has 362 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 7, 2026.

Source: IvanLi-CN/tavily-hikari on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.