Agent skill

X Research

by edinetdb in edinetdb/dexter-jp

X/Twitter public sentiment research. An agent skill from edinetdb/dexter-jp.

MITAuto-check passedBusiness, Finance & HR

Install X Research

skills CLI
$ npx skills add edinetdb/dexter-jp --skill x-research -a claude-code

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

GitHub CLI
$ gh skill install edinetdb/dexter-jp x-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/edinetdb/dexter-jp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/skills/x-research .claude/skills/x-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
x-research
GitHub stars
312
Token cost
~789 tokens
SKILL.md length
349 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
MIT

At a glance

X/Twitter public sentiment research. An agent skill from edinetdb/dexter-jp.

  • Works in 5 steps: Decompose into Queries → Execute Searches → Check Key Accounts (Optional) → …
  • : user asks what are people saying about
  • SKILL.md covers Research Loop, Refinement Heuristics and Output Format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

X Research is an agent skill from edinetdb/dexter-jp. X/Twitter public sentiment research. Searches X for real-time perspectives, market sentiment, expert opinions, breaking news, and community discourse. Use when: user asks "what are people saying about", "X/Twitter sentiment", "check X for", "search twitter for", "what's CT saying about", or wants public opinion on a stock, sector, company, or market event.

Its SKILL.md is about 790 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 Business, Finance & HR. It works with X (Twitter), LangChain and TypeScript. The repository describes itself as: 日本株の自律型リサーチAIエージェント|AI agent for deep financial research on Japanese listed companies. Powered by EDINET DB + J-Quants. The licence is MIT.

When your agent uses it

  • : user asks what are people saying about
  • X/Twitter sentiment
  • Search twitter for
  • Whats CT saying about

Example prompts

  • “what are people saying about”
  • “X/Twitter sentiment”
  • “check X for”
  • “/x-research”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Decompose into Queries
  2. Execute Searches
  3. Check Key Accounts (Optional)
  4. Follow Threads (Optional)
  5. Synthesize

What it can do on your machine

Read from SKILL.md and the folder at commit dfb0fd9. 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.

    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

X Research loads about 789 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 349 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~789

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 edinetdb/dexter-jp at commit dfb0fd9, republished under its MIT licence (© edinetdb). 349 words, ~789 tokens.

Download SKILL.mdSave it as .claude/skills/x-research/SKILL.md (or your agent's skills folder).
name
x-research
description
X/Twitter public sentiment research. Searches X for real-time perspectives, market sentiment, expert opinions, breaking news, and community discourse. Use when: user asks "what are people saying about", "X/Twitter sentiment", "check X for", "search twitter for", "what's CT saying about", or wants public opinion on a stock, sector, company, or market event.

X Research Skill

Agentic research over X/Twitter using the x_search tool. Decompose the research question into targeted searches, iterate to refine signal, and synthesize into a sourced sentiment briefing.

Research Loop

1. Decompose into Queries

Turn the research question into 3–5 targeted queries using X operators:

  • Core query: Direct keywords or $TICKER cashtag
  • Expert voices: from:username for known analysts or accounts
  • Bearish signal: keywords like (overvalued OR bubble OR risk OR concern)
  • Bullish signal: keywords like (bullish OR upside OR catalyst OR beat)
  • News/links: add has:links to surface tweets with sources
  • Noise reduction: -is:reply to focus on original posts; -airdrop -giveaway for crypto topics
2. Execute Searches

Use the x_search tool with command: "search". For each query:

  • Start with sort: "likes" and limit: 15 to surface highest-signal tweets
  • Add min_likes: 5 or higher to filter noise for broad topics
  • Use since: "1d" or "7d" depending on how time-sensitive the topic is
  • If a query returns too much noise, narrow with more operators or raise min_likes
  • If too few results, broaden with OR terms or remove restrictive operators
3. Check Key Accounts (Optional)

For well-known analysts, fund managers, or company executives, use command: "profile" to see their recent posts directly.

4. Follow Threads (Optional)

When a high-engagement tweet appears to be a thread starter, use command: "thread" with the tweet ID to get full context.

5. Synthesize

Group findings by theme (bullish, bearish, neutral, news/catalysts):

### [Theme]

[1–2 sentence summary of the theme]

- @username: "[key quote]" — [likes]♥ [Tweet](url)
- @username2: "[another perspective]" — [likes]♥ [Tweet](url)

End with an Overall Sentiment paragraph: predominant tone (bullish/bearish/ mixed/neutral), confidence level, and any notable divergence between retail and institutional voices.

Refinement Heuristics

ProblemFix
Too much noiseRaise min_likes, add -is:reply, narrow keywords
Too few resultsBroaden with OR, remove restrictive operators
Crypto spamAdd -airdrop -giveaway -whitelist
Want expert takes onlyUse from: or min_likes: 50
Want substance over hot takesAdd has:links

Output Format

Present a structured briefing:

  1. Query Summary: what was searched and time window
  2. Sentiment Themes: grouped findings with sourced quotes and tweet links
  3. Overall Sentiment: tone, confidence, key voices
  4. Caveats: X sentiment is not a reliable predictor; sample bias toward vocal minorities; last-7-days window only

© edinetdb, 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 src/skills/x-research of edinetdb/dexter-jp.

Open the folder on GitHubat commit dfb0fd9

Compare with similar skills

X 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.

X Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
X Research this skilledinetdb/dexter-jp312—~789Automated safety check: PassMIT
PNP Prediction Markets on Solanainternet-court/internet-court-skill6.6k—~7.5kAutomated safety check: NotesMIT
Add Example AgentGetBindu/Bindu10k—~1.1kAutomated safety check: NotesCustom licence
Failproof AI SDK IntegrationFailproofAI/failproofai5.3k—~6kAutomated safety check: PassCustom licence
Projectsamchon/typia5.9k—~1.8kAutomated safety check: PassMIT
Swapper Depositswapperfinance/swapper-toolkit852—~1.8kAutomated safety check: PassMIT

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Questions about X Research

What does X Research do?

X/Twitter public sentiment research. An agent skill from edinetdb/dexter-jp. X Research is an agent skill from edinetdb/dexter-jp. X/Twitter public sentiment research.

When should I use X Research?

X Research fits situations like: : user asks what are people saying about; X/Twitter sentiment; search twitter for; whats CT saying about.

How do I install X Research in Claude Code?

Run `npx skills add edinetdb/dexter-jp --skill x-research -a claude-code`. Or copy the skill folder (src/skills/x-research in edinetdb/dexter-jp) into .claude/skills/x-research in your project. Claude Code loads it when a task matches its description.

How do I install X Research in Codex?

Run `npx skills add edinetdb/dexter-jp --skill x-research -a codex`. Or copy the skill folder (src/skills/x-research in edinetdb/dexter-jp) into .agents/skills/x-research in your project. Codex loads it when a task matches its description.

Can I use X 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 edinetdb/dexter-jp --skill x-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/x-research, .gemini/skills/x-research, .github/skills/x-research and .opencode/skills/x-research in your project.

What does X Research need to run?

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

Does X 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 X 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 X Research use?

X 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 X Research use?

About 789 tokens (SKILL.md is roughly 3.2k 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 X Research?

Skills that share tags, products or a category with X Research: PNP Prediction Markets on Solana (internet-court/internet-court-skill, 6.6k stars), Add Example Agent (GetBindu/Bindu, 10k stars), Failproof AI SDK Integration (FailproofAI/failproofai, 5.3k stars) and Project (samchon/typia, 5.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains X Research?

edinetdb (a GitHub user) maintains it in edinetdb/dexter-jp, which has 312 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 8, 2026.

Source: edinetdb/dexter-jp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.