Agent skill · research science · sickn33
efficient-web-research
Protocol for token-efficient web research. Use when accessing URLs, GitHub repos, or running search queries. Prevents full-page fetching waste.
Why this skill is useful
Provides a structured protocol for token-efficient web research that the AI wouldn't reliably generate on its own.
What it needs
About 7k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.
What this skill does
Efficient Web Research Skill A protocol for accessing web content in the most token-efficient, accurate, and structured way — using the right tool at the right depth, and stopping as soon as the question is answerable. --- When to Use Use this skill when the task matches this description: Protocol for token-efficient web research. Use when accessing URLs, GitHub repos, or running search queries. Prevents full-page fetching waste. Core Principle Fetch the minimum needed to answer. Skim before you dive. Stop when you can answer. Every unnecessary fetch wastes tokens and adds noise. This skill enforces a layered approach where you escalate fetch depth only when shallower layers fail. --- Step 1 — Classify the Input Before fetching anything, identify what kind of input you received: Input Type Example Go To --- --- --- GitHub repo URL github.com/user/repo GitHub Protocol Specific page URL docs.python.org/3/library/os URL Protocol Topic / query (no URL) "how does RAFT consensus work" Search Protocol Multiple URLs List of links Multi-URL Protocol PDF / file link .pdf, .txt, .md URL File Protocol --- GitHub Protocol Use when input is a GitHub URL (repo, file, PR, issue, etc.) Step 1 — Parse the URL Step 2 — Use GitHub API (preferred over scraping) Always prefer the GitHub API. It returns clean JSON — no HTML parsing needed. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills sickn33/efficient-web-research--f86a84