Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
A skill your agent uses when the user wants real-time web or news results with AI-summarized answers and citations — Grok Live Search via BlockRun.
MITAuto-check passed
Install Search
$ npx skills add BlockRunAI/blockrun-mcp --skill search -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BlockRunAI/blockrun-mcp search --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/BlockRunAI/blockrun-mcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/search .claude/skills/search && rm -rf skills-srcUse ~/.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/
Install the "search" agent skill from https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/search into .claude/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/searchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add BlockRunAI/blockrun-mcp --skill search -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BlockRunAI/blockrun-mcp search --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlockRunAI/blockrun-mcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/search .agents/skills/search && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "search" agent skill from https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/search into .agents/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BlockRunAI/blockrun-mcp --skill search -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BlockRunAI/blockrun-mcp search --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlockRunAI/blockrun-mcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/search .cursor/skills/search && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "search" agent skill from https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/search into .cursor/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/BlockRunAI/blockrun-mcp.git --path skills/search--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add BlockRunAI/blockrun-mcp --skill search -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BlockRunAI/blockrun-mcp search --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlockRunAI/blockrun-mcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/search .gemini/skills/search && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "search" agent skill from https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/search into .gemini/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install BlockRunAI/blockrun-mcp searchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add BlockRunAI/blockrun-mcp --skill search -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BlockRunAI/blockrun-mcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/search .github/skills/search && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "search" agent skill from https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/search into .github/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BlockRunAI/blockrun-mcp --skill search -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BlockRunAI/blockrun-mcp search --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlockRunAI/blockrun-mcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/search .opencode/skills/search && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "search" agent skill from https://github.com/BlockRunAI/blockrun-mcp/tree/main/skills/search into .opencode/skills/search/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "search", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
search- GitHub stars
- 392
- Token cost
- ~970 tokens
- SKILL.md length
- 399 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the user wants real-time web or news results with AI-summarized answers and citations — Grok Live Search via BlockRun.
- Works in 3 steps: "What's the latest on the ETH ETF… → "What happened in Solana's latest outage?" → "Background on Pectra upgrade, last 90…
- The user wants real-time web
- SKILL.md covers How to Call from MCP, Body Shape, When to Reach for Which Source and Worked Examples, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Search is an agent skill from BlockRunAI/blockrun-mcp. Use when the user wants real-time web or news results with AI-summarized answers and citations — Grok Live Search via BlockRun. Cheapest path for "what just happened" questions where freshness beats neural-semantic ranking.
Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Live data for AI agents — search, research, markets, crypto, X/Twitter. Pay-per-call via x402 micropayments. The licence is MIT.
When your agent uses it
- The user wants real-time web
- News results with AI-summarized answers and citations — Grok Live Search via BlockRun
Example prompts
- “what just happened”
- “/search”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit a7a9b3c. 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 typescript).
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
Search loads about 970 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 399 words of instructions outside code blocks.
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 BlockRunAI/blockrun-mcp at commit a7a9b3c, republished under its MIT licence (© BlockRunAI). 399 words, ~970 tokens.
Download SKILL.mdSave it as
.claude/skills/search/SKILL.md (or your agent's skills folder).- name
- search
- description
- Use when the user wants real-time web or news results with AI-summarized answers and citations — Grok Live Search via BlockRun. Cheapest path for "what just happened" questions where freshness beats neural-semantic ranking.
- triggers
- live search, grok live, what just happened, real time news, breaking news, today's news, search with citations, cited search, news search
Live Search (Grok)
Real-time web + news search with AI-summarized results and citations. PRICED PER SOURCE and expensive by default: $0.025 × max_results, +5% +$0.001 → default 10 settles $0.2635 per call. Best for fresh queries; for semantic / neural research use blockrun_exa instead.
How to Call from MCP
blockrun_search({ body: {
query: "what's the consensus on the Fed's next move",
sources: ["web", "news"],
max_results: 10
}})Body Shape
| Field | Required | Type | Notes |
|---|---|---|---|
query | yes | string | Natural-language search query |
sources | no | string[] | Subset of ["web","news"]. Default: ["web"] — pass both for news coverage. There is no X/Twitter source (removed upstream 2026-07-05; asking for "x" is refused before payment). Does NOT multiply price. |
max_results | no | number | 1–50, default 10. Drives the price — ~$0.0263 charged per source. Pass a small number to cap spend; the gateway prices the raw value and does not floor fractions. |
from_date | no | string | YYYY-MM-DD lower bound on result date |
to_date | no | string | YYYY-MM-DD upper bound |
When to Reach for Which Source
| User intent | sources setting |
|---|---|
| Breaking news / today's headlines | ["news"] |
| Social / X sentiment | not served — there is no X source; use ["news","web"] and say so, or blockrun_exa for a targeted crawl |
| Backgrounder / explainer / docs | ["web"] |
| General "find current info" question | ["web","news"] (omitting it searches the web only) |
Worked Examples
1. "What's the latest on the ETH ETF approval timeline?"
blockrun_search({ body: { query: "Ethereum ETF approval SEC", sources: ["news","web"], max_results: 8 } })Cost: ~$0.2110 (8 sources: $0.025 × 8 × 1.05 + $0.001).
2. "What happened in Solana's latest outage?"
blockrun_search({ body: { query: "Solana outage today", sources: ["news","web"], max_results: 15 } })Cost: ~$0.3948 (15 sources: $0.025 × 15 × 1.05 + $0.001). There is no
X/Twitter source: sources: ["x"] is refused before payment with the live
list, so do not promise "what X is saying" — say what the news and web say.
Show full SKILL.md (147 more words)Show less
3. "Background on Pectra upgrade, last 90 days only"
blockrun_search({ body: {
query: "Ethereum Pectra upgrade",
sources: ["web","news"],
from_date: "2026-02-17"
}})Cost: $0.2635 (10 sources, the default — verified live).
search vs exa — Pick the Right Tool
| Use case | Tool |
|---|---|
| "What's happening right now?" — freshness matters | blockrun_search |
| "Find the canonical paper on X" — semantic relevance matters | blockrun_exa |
| "Pull the full text of these 5 URLs" — content fetch | blockrun_exa contents |
| "Cited answer to a question" | both work; blockrun_exa answer is grounded in pre-indexed corpus, blockrun_search searches the live web |
Notes
- Returns AI-summarized text + a list of sources with URLs. The summary is one paragraph; sources let you drill in.
- Price is per result, not per source.
max_results: 20with one source or three sources both charge $0.526 ($0.025 × 20 × 1.05 + $0.001 — verified live). Pass a smallermax_resultsto cap spend. - Date filters are strict — results outside the window are dropped, not down-ranked.
Reference
- Endpoint:
POST /v1/search - Upstream: xAI Grok Live Search
© BlockRunAI, 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/search of BlockRunAI/blockrun-mcp.
Open the folder on GitHubat commit a7a9b3c
Compare with similar skills
Search 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Search this skillBlockRunAI/blockrun-mcp | 392 | — | ~970 | Automated safety check: Pass | MIT | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| NetworkxzLanqing/codex-claude-academic-skills | 4.6k | 16 repos | ~3.2k | Automated safety check: Pass | BSD-3-Clause | |
| Citation Verification GuideGalaxy-Dawn/claude-scholar | 5.7k | 3 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 21 repos | ~5.9k | Automated safety check: Notes | MIT |
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Systematic Review Screener
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Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
Literature Review
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Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Openalex Database
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Query and analyze scholarly literature using the OpenAlex database.
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Questions about Search
What does Search do?
A skill your agent uses when the user wants real-time web or news results with AI-summarized answers and citations — Grok Live Search via BlockRun. Search is an agent skill from BlockRunAI/blockrun-mcp. Use when the user wants real-time web or news results with AI-summarized answers and citations — Grok Live Search via BlockRun.
When should I use Search?
Search fits situations like: the user wants real-time web; news results with AI-summarized answers and citations — Grok Live Search via BlockRun.
How do I install Search in Claude Code?
Run `npx skills add BlockRunAI/blockrun-mcp --skill search -a claude-code`. Or copy the skill folder (skills/search in BlockRunAI/blockrun-mcp) into .claude/skills/search in your project. Claude Code loads it when a task matches its description.
How do I install Search in Codex?
Run `npx skills add BlockRunAI/blockrun-mcp --skill search -a codex`. Or copy the skill folder (skills/search in BlockRunAI/blockrun-mcp) into .agents/skills/search in your project. Codex loads it when a task matches its description.
Can I use Search 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 BlockRunAI/blockrun-mcp --skill search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/search, .gemini/skills/search, .github/skills/search and .opencode/skills/search in your project.
What does Search need to run?
SKILL.md names no scripts, command-line tools or credentials: Search is instructions for the agent only.
Does Search 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 Search 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 Search use?
Search 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 Search use?
About 970 tokens (SKILL.md is roughly 3.9k 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 Search?
Skills that share tags, products or a category with Search: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.6k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars) and Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Search?
BlockRunAI (a GitHub organization) maintains it in BlockRunAI/blockrun-mcp, which has 392 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 6, 2026.
Source: BlockRunAI/blockrun-mcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.