Agent Reach
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
Looks things up online from the shell with curl: fetching pages, searching DuckDuckGo's HTML endpoint, stripping tags for readable text and pulling JSON APIs.
$ npx skills add laude-institute/headlong --skill web-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install laude-institute/headlong web-research --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/laude-institute/headlong.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/web-research .claude/skills/web-research && 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 "web-research" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/web-research into .claude/skills/web-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-research", 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/laude-institute/headlong/tree/main/skills/web-researchType 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 laude-institute/headlong --skill web-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install laude-institute/headlong web-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/web-research .agents/skills/web-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "web-research" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/web-research into .agents/skills/web-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-research", 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 laude-institute/headlong --skill web-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install laude-institute/headlong web-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/web-research .cursor/skills/web-research && 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 "web-research" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/web-research into .cursor/skills/web-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-research", 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/laude-institute/headlong.git --path skills/web-research--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 laude-institute/headlong --skill web-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install laude-institute/headlong web-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/web-research .gemini/skills/web-research && 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 "web-research" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/web-research into .gemini/skills/web-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-research", 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 laude-institute/headlong web-researchInstalls 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 laude-institute/headlong --skill web-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/web-research .github/skills/web-research && 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 "web-research" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/web-research into .github/skills/web-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-research", 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 laude-institute/headlong --skill web-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install laude-institute/headlong web-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/laude-institute/headlong.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/web-research .opencode/skills/web-research && 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 "web-research" agent skill from https://github.com/laude-institute/headlong/tree/main/skills/web-research into .opencode/skills/web-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "web-research", 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.
web-researchLooks things up online from the shell with curl: fetching pages, searching DuckDuckGo's HTML endpoint, stripping tags for readable text and pulling JSON APIs.
This is a short shell cookbook for questions that need current information. It shows how to fetch a page, run a DuckDuckGo HTML search and pull out result links, strip tags with sed for rough text, query a JSON API and filter it with jq, and download a file. The tips: use curl with -s and -L, cut output down with head or tail because full pages are huge, expect no dynamic content from JavaScript-heavy sites, rate-limit requests and check robots.txt before scraping at length.
Read from SKILL.md and the folder at commit c43e597. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
curljqFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
html.duckduckgo.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Web Research With curl loads about 362 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 106 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.
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.
The full file from laude-institute/headlong at commit c43e597, republished under its Apache-2.0 licence (© laude-institute). 106 words, ~362 tokens.
.claude/skills/web-research/SKILL.md (or your agent's skills folder).User asks to look something up, find current information, research a topic, or answer a question that requires up-to-date knowledge beyond what you have in context.
curl -sL "https://example.com" | head -200query="your search terms"
curl -sL "https://html.duckduckgo.com/html/?q=$(printf '%s' "$query" | jq -sRr @uri)" \
| grep -oP 'href="https?://[^"]*"' | head -10# Strip HTML tags for readable text
curl -sL "$url" | sed 's/<[^>]*>//g' | sed '/^$/d' | head -100curl -s "https://api.example.com/endpoint" | jq '.results[]'curl -sLO "https://example.com/file.txt"-s (silent) and -L (follow redirects) with curlsed 's/<[^>]*>//g' for rough text extractionhead or tail to limit output — full web pages are huge© laude-institute, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/web-research of laude-institute/headlong.
Open the folder on GitHubat commit c43e597
Web Research With curl 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 |
|---|---|---|---|---|---|---|
| Web Research With curl this skilllaude-institute/headlong | 1.2k | — | ~362 | Automated safety check: Pass | Apache-2.0 | |
| Agent ReachPanniantong/Agent-Reach | 95k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Tavily Web Searchallenpeng0705/EnvoyMesh | 3.1k | 3 repos | ~2.5k | Automated safety check: Notes | None | |
| Perplexity SearchescapeWu/perplexity-ai | 171 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Tavily Web SearchLichAmnesia/lich-skills | 234 | — | ~1k | Automated safety check: Notes | MIT | |
| Perplexity Search and Researchartwist-polyakov/polyakov-claude-skills | 208 | — | ~2.5k | Automated safety check: Notes | MIT |
Panniantong/Agent-Reach
Routes web research and platform lookups across 16 sites, including Twitter, Reddit, YouTube, Bilibili, Xiaohongshu and GitHub, through one command-line tool.
allenpeng0705/EnvoyMesh
Searches the web through the Tavily API with LLM-friendly output: clean structured results, optional AI-written answers, domain filters, news mode, images and raw content.
escapeWu/perplexity-ai
Searches the live web with citations through perplexity-mcp v2 tools or a bundled Python REST client, with focused ask, deep research and detached tasks.
LichAmnesia/lich-skills
Runs headless web searches and single-page extraction through the Tavily API from a Python script, returning cited, summarized results without a browser.
artwist-polyakov/polyakov-claude-skills
Shell scripts for web search and research through the Perplexity API: raw results, cited answers, background deep research and page fetching, with results cached on disk.
affaan-m/ECC
Searches the web, code, companies and people through the Exa MCP server, with notes on setup, the web_search_exa tool and treating results as untrusted data.
laude-institute/headlong
Explains how shellm's bash-based recursive LLM shell fits together - its core engine, identity system, memory, skills and trajectory log.
laude-institute/headlong
Scaffolds new ShellLM skills with the right frontmatter, directory layout and agent-facing writing style, so an agent can extend its own capabilities.
laude-institute/headlong
Drives Google Drive, Gmail, Calendar, Sheets, Docs and Chat from the shell with the gws CLI, including its sign-in, flags, helper commands and safety rules.
laude-institute/headlong
Read, write, search, and manage notes in an Obsidian vault. An agent skill from laude-institute/headlong.
laude-institute/headlong
Talk with people on Slack — recognize slack- senders and reach them via chat reply
laude-institute/headlong
Send and receive messages via the Telegram Bot API using curl
Works with
Looks things up online from the shell with curl: fetching pages, searching DuckDuckGo's HTML endpoint, stripping tags for readable text and pulling JSON APIs. This is a short shell cookbook for questions that need current information. It shows how to fetch a page, run a DuckDuckGo HTML search and pull out result links, strip tags with sed for rough text, query a JSON API and filter it with jq, and download a file.
Web Research With curl fits situations like: looking up current information the agent does not have in context; fetching a web page or JSON API from the command line; extracting readable text from a page without a browser.
Run `npx skills add laude-institute/headlong --skill web-research -a claude-code`. Or copy the skill folder (skills/web-research in laude-institute/headlong) into .claude/skills/web-research in your project. Claude Code loads it when a task matches its description.
Run `npx skills add laude-institute/headlong --skill web-research -a codex`. Or copy the skill folder (skills/web-research in laude-institute/headlong) into .agents/skills/web-research in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add laude-institute/headlong --skill web-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/web-research, .gemini/skills/web-research, .github/skills/web-research and .opencode/skills/web-research in your project.
Going by SKILL.md and its folder, Web Research With curl needs the command-line tools its instructions call (curl and jq). Our summary lists: curl, jq and standard Unix text tools; Network access.
SKILL.md names 1 domain. In commands or code: html.duckduckgo.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
Web Research With curl is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 362 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Web Research With curl: Agent Reach (Panniantong/Agent-Reach, 95k stars), Tavily Web Search (allenpeng0705/EnvoyMesh, 3.1k stars), Perplexity Search (escapeWu/perplexity-ai, 171 stars) and Tavily Web Search (LichAmnesia/lich-skills, 234 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
laude-institute (a GitHub organization) maintains it in laude-institute/headlong, which has 1,216 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 9, 2026.
Source: laude-institute/headlong on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.