x-research

x-research is a skill for Codex from anotb/x-signal. It costs 56 tokens per session (718 once invoked), scanned A, original, MIT.

A research tool for finding and combining current evidence from X, the social network formerly called Twitter. It organizes results by topic, search angle, recency, authors, and related posts.

In plain words
What is it for?
Use it to investigate current events, trends, technical discussions, organizations, experts, or emerging accounts on X.
Why use it?
It reduces the work of searching many different queries and checking whether the results actually cover the question. It also helps separate recent posts from widely noticed posts.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to investigate current events, trends, technical discussions, organizations, experts, or emerging accounts on X.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anotb/x-signal/x-research
Install

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.

Any agent
npx skills add anotb/x-signal --skill x-research
Clone the repo
git clone --depth 1 https://github.com/anotb/x-signal

Made for: Codex.

Wrote 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.

agentmods badge for x-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/anotb/x-signal/x-research/github.svg)](https://agentmods.dev/skills/anotb/x-signal/x-research)
Your own site
<a href="https://agentmods.dev/skills/anotb/x-signal/x-research"><img src="https://agentmods.dev/badge/skills/anotb/x-signal/x-research/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.

agentmods 80×15 button for x-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/anotb/x-signal/x-research"><img src="https://agentmods.dev/badge/skills/anotb/x-signal/x-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 718 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.00718
Opus 5 $0.00028 $0.00359
Sonnet 5 $0.00011 $0.00144
Haiku 4.5 $0.00006 $0.00072

Measured yesterday against content hash 4201b0228fc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

x-research 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 yesterday.

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.

skills/x-research/SKILL.md · 22 lines

What it actually says

X research

  1. Call x_status only when service, sign-in, or rate health is uncertain.
  2. Use x_search_accounts when the task needs people, organizations, experts, emerging accounts, or an exact handle. Continue with its returned cursor only when the next account page is useful.
  3. Plan enough distinct post-query angles to answer the actual question. For a broad single topic, usually combine Top and Latest with a few scoped or Media variants in one x_search. For multiple topics, label each topic and lens in one consolidated call when practical. Choose useful per-leg limits and responseLimit from the requested breadth; do not request 200 by habit or impose an arbitrary global result ceiling.
  4. Let long research run when it is still gathering useful evidence. Poll with x_get_run using view: "summary"; pass the returned revision as ifRevision on later polls so unchanged progress stays small. Read full evidence when it changes or completes. If a result is running with retryAt, retain its runId, continue independent reasoning, and poll after retryAt. Do not launch replacement searches or rapid status probes during the backoff window.
  5. Inspect totalPosts, the evidence-page cursor, per-leg requested/returned counts, continuation availability, query coverage, lenses, authors, clusters, warnings, and failed legs. Use x_get_evidence to read more already-stored records without touching X. Use x_continue_search on only consequential thin legs when genuinely new upstream evidence is needed; repeat it if justified. Add a different angle only for a real evidence gap, not as a substitute for either continuation path.
  6. Use x_get_timeline for an exact Following, For You, user, bookmarks, list, or community source. Preserve its cursor when another page is useful. Expand consequential posts with x_get_post when thread, reply, or quote-post context could confirm, qualify, or challenge the claim.
  7. Synthesize patterns and disagreements across the full evidence set. Distinguish what posts claim, what engagement shows, and what you infer. Canonical X URLs are available when references would improve traceability or the user asks for them. Choose a proportionate set, placement, and style for the specific answer; references may be omitted when they add little value. Do not dump bare URLs or force a fixed citation section unless the user asks.
  8. Create or change an x_monitor only when requested.

Use x_list_runs to find earlier saved research by query, label, status, or creation time. Use x_compare_runs for changes between two saved samples before repeating upstream work. These tools are local. A post absent from the later sample is not evidence of deletion or a decline in discussion. Account, query, lens, and coverage differences matter.

Clusters are lexical groupings of the returned page. Distinct authors or wording do not establish independent corroboration, and translations or synonyms may remain separate. Use explicit recency sorting for chronological historical work; author diversity applies to balanced ranking.

Favor independent coverage and author diversity over volume for its own sake. High engagement is not factual reliability.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. yesterday Changed · +4 lines 4201b0228fc2
  2. 12d ago First seen · 18 lines · 56 tokens per session scan A 030906ec7aff

Subscribe to this mod's changes

x-research is a skill published in the GitHub repository anotb/x-signal (1 stars, last pushed 2d ago), licensed MIT. It adds 56 tokens to every session and 718 once invoked, about $0.0003 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 2026-08-31.

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