x-search: searching X (Twitter) through xAI
SkillSearchGuides your agent to search X (Twitter) posts correctly, with date filters, trusted accounts, and split queries.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the x-search: searching X (Twitter) through xAI skill
About this capability
MUST read before searching X/Twitter with the x_search tool. When xAI is connected: date-bound every time-sensitive query (from_date >= yesterday, widen to 7 days), scope trusted accounts with allowed_x_handles, phrase queries as latest/recent with since:/from:/filter: operators, split into 2-3 sear
What this skill tells your AI
The instructions your AI receives, as published by code-yeongyu/oh-my-openagent in packages/omo-senpi/src/components/x-search/skill/SKILL.md and read by ahel’s review.
This skill only matters when an xAI account is connected. The x_search tool
is registered at load time if a credential exists, and it is hidden behind
tool_search until you activate it. Everything below assumes you've read the
current date from the system prompt; never hardcode a date.
Which tool
- Run
tool_search "X posts". Ifx_searchshows up, it's callable on the next turn. - If nothing matches, xAI isn't connected. Say so plainly ("x_search is
unavailable, no xAI credential") and fall back to
web_search. Don't guess at tweets from memory.
x_search is one round trip to xAI's server-side X tools (keyword search,
semantic search, user search, thread fetch). You don't pick the sub-tool; the
server does. Your job is to shape the query and the parameters so the server
lands on the right one.
The 4 rules
- Date-bound anything time-sensitive. Stocks, earnings, market reaction,
foreign flows, breaking news, product launches: compute yesterday from
today's date and pass it as
from_date. Start narrow. If the first pass comes back thin, widen to 7 days. Dates are inclusive on both ends. - Scope trusted accounts. When the user names accounts they trust, pass
them as
allowed_x_handles(bare handles, no@, max 20). Example:["growth_papa", "aleabitoreddit"].allowed_x_handlesandexcluded_x_handlesare exclusive; pick one. - Phrase for recency. Write the query the way X advanced search expects:
"latest" or "recent" wording plus operators (
since:,until:,from:,filter:links,-filter:replies,lang:). The server has been observed running keyword search in Latest mode when the query carriessince:. - Split, don't stack. One mega-query returns mush. Run 2 to 3 narrower searches: one pass by account, one by keyword, and a thread fetch when a single post needs its replies. Each call is one search turn.
Operator cheat sheet
| Operator | Meaning | Example |
|---|---|---|
since:YYYY-MM-DD | posts on or after the date | since:2026-09-02 |
until:YYYY-MM-DD | posts on or before the date | until:2026-09-03 |
from:handle | posts by one account | from:growth_papa |
filter:links | only posts with links | earnings filter:links |
-filter:replies | drop replies | NVDA -filter:replies |
lang:xx | language code | lang:ko, lang:en |
"exact phrase" | literal match | "foreign net buying" |
Operators live inside query. from_date / to_date / allowed_x_handles
are separate parameters and are the reliable half; operators nudge the server,
parameters bind it. Use both when they agree.
Split-search recipe
Run these as separate x_search calls, not one combined query.
Handle pass. Trusted accounts, narrow window.
query: "latest on <topic> since:<yesterday>"
allowed_x_handles: ["growth_papa", "aleabitoreddit"]
from_date: <yesterday>
Keyword pass. Open field, reply noise removed.
query: "recent <topic> <ticker or key term> -filter:replies lang:en"
from_date: <yesterday>
Thread-fetch pass. Only when one post from the passes above needs context.
query: "<x.com URL of the post> replies and quotes"
Stop after three passes unless the user asks for more. If the handle pass and the keyword pass disagree, report both rather than averaging them.
Reading results
Each result arrives as a URL plus a one-line summary, followed by a
Queries used: trailer that lists the exact queries the server ran. Keep the
trailer in your notes; it's the only provenance you have for what was actually
searched.
When you report:
- Cite the
x.comURL for every claim drawn from a post. - Label the source as an X post. A tweet is a signal that someone said something, not a verified fact. Say "posted on X by @handle" rather than stating the content as true.
- Quote sparingly. Summaries in your own words plus the link do the job.
Tandem with web_search
Run the same topic through web_search in the same turn. Then reconcile:
- Web-found event with no X echo: say so. It may be too fresh, too niche, or the query missed it.
- X-only claim with no web coverage: say so, and flag it as unconfirmed.
- Both agree: cite both, X for the reaction, web for the record.
Don't let an X-only claim into a conclusion without that note.
Cost note
xAI bills X search at $5 per 1,000 calls. One x_search call is one search
turn. The three-pass recipe costs roughly $0.015. That's cheap, but it isn't
free, so don't loop on retries when the first pass came back empty; widen the
window once, then stop.
Backtest pointer
Query recipes and parity against other lanes are checked by
packages/omo-senpi/scripts/qa/x-search-backtest.mjs. If you change a rule in
this skill, update the query set there so the backtest still reflects the
recipe it's measuring.
Signals
- GitHub stars
- 69k
- Forks
- 6k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
x-search- Source
- github.com/code-yeongyu/oh-my-openagent