Agent skill

efficient-web-research

Protocol for token-efficient web research. Use when accessing URLs, GitHub repos, or running search queries. Prevents full-page fetching waste.

Nick44,414★ · +328/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill efficient-web-research --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 11 KB
Bundled scripts: none
Path: skills/efficient-web-research/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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](#github-protocol) | | Specific page URL | `docs.python.org/3/library/os` | [URL Protocol](#url-protocol) | | Topic / query (no URL) | "how does RAFT consensus work" | [Search Protocol](#search-protocol) | | Multiple URLs | List of links | [Multi-URL Protocol](#multi-url-protocol)

What's inside
Steps it walks through
  1. When to Use
  2. Core Principle
  3. Step 1 — Classify the Input
  4. GitHub Protocol
  5. Step 1 — Parse the URL
  6. Step 2 — Use GitHub API (preferred over scraping)
  7. Step 3 — Layered Fetch for Repos
  8. Token Rules for GitHub
  9. URL Protocol
  10. Step 1 — Assess the URL type
  11. Step 2 — Layered Fetch
  12. What to Strip from Fetched Pages
  13. Search Protocol
  14. Step 1 — Sharpen the Query Before Searching
More from agentic-awesome-skills
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About this skill
What does the efficient-web-research skill do?

Protocol for token-efficient web research. Use when accessing URLs, GitHub repos, or running search queries. Prevents full-page fetching waste.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill efficient-web-research --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going