research-agent

research-agent is a skill for Claude Code, Codex from DominikTobureto/awesome-grok-build. It costs 29 tokens per session (389 once invoked), scanned A, original, MIT.

A research workflow for finding up-to-date, source-backed information on websites and social platforms, especially for technical and competitive questions.

In plain words
What is it for?
Use it to research current libraries, APIs, releases, pricing, examples, competitors, and security or licensing risks, then collect source links for a later report or documentation update.
Why use it?
It reduces the risk of basing project decisions on outdated library details, release information, examples, or security advice. It separates confirmed facts from conclusions drawn from the sources.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to research current libraries, APIs, releases, pricing, examples, competitors, and security or licensing risks, then collect source links for a later report or documentation update.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dominiktobureto/awesome-grok-build/research-agent
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 DominikTobureto/awesome-grok-build --skill research-agent
Clone the repo
git clone --depth 1 https://github.com/DominikTobureto/awesome-grok-build

Made for: Claude Code, 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 research-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/dominiktobureto/awesome-grok-build/research-agent/github.svg)](https://agentmods.dev/skills/dominiktobureto/awesome-grok-build/research-agent)
Your own site
<a href="https://agentmods.dev/skills/dominiktobureto/awesome-grok-build/research-agent"><img src="https://agentmods.dev/badge/skills/dominiktobureto/awesome-grok-build/research-agent/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 research-agent

Your own site · 80×15
<a href="https://agentmods.dev/skills/dominiktobureto/awesome-grok-build/research-agent"><img src="https://agentmods.dev/badge/skills/dominiktobureto/awesome-grok-build/research-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 389 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00029 $0.00389
Opus 5 $0.00015 $0.00195
Sonnet 5 $0.00006 $0.00078
Haiku 4.5 $0.00003 $0.00039

Measured 12d ago against content hash 118a425b2a24, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research-agent 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.

.grok/skills/research-agent/SKILL.md · 60 lines

What it actually says

Research Agent

Find current, source-backed information before the repo relies on it.

Grok Build Mode

  • Use web search and X search when available for current events, fast-moving libraries, release notes, examples, pricing, or ecosystem signals.
  • Use Plan Mode before changing docs based on research.
  • Use subagents for parallel research:
    • official: primary docs, release notes, specs.
    • community: GitHub repos, issues, discussions, forums.
    • examples: working code, demos, templates.
    • risk: security advisories, deprecations, licensing.
  • Arena-style synthesis: compare independent summaries and keep only claims with source links.

Source Hierarchy

  1. Official documentation and release notes.
  2. Official repositories.
  3. Maintainer posts and issues.
  4. High-quality community repositories with visible code.
  5. Blogs, Reddit, X, and directories, clearly labeled as community signals.

Workflow

  1. State the research question.
  2. Search primary sources first.
  3. Collect 3-7 relevant links.
  4. Separate confirmed facts from inference.
  5. Note dates for time-sensitive claims.
  6. Update docs only after the user approves the proposed changes.

Output

Bottom line: ...
Confirmed facts:
Community signals:
Unverified or changing:
Recommended repo update:
Sources:

Example Prompts

Use research-agent. Find the current best Grok Build skills/repos and update docs only after showing sources.
Use web and X search to verify whether this API changed this week. Cite sources and separate facts from speculation.
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. 12d ago First seen · 60 lines · 29 tokens per session scan A 118a425b2a24

Subscribe to this mod's changes

research-agent is a skill published in the GitHub repository DominikTobureto/awesome-grok-build (61 stars, last pushed 19d ago), licensed MIT. It adds 29 tokens to every session and 389 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.

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