Agent skill

web-filter

Filters and truncates large web search results from Exa to reduce token usage.

majiayu000534★ · 1 repos on radarProfile →
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill web-filter --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: bashstr_replace
Path: skills/ai-llm/web-filter/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# Web Response Filter Save large MCP responses to /tmp/, filter with jq, load subset. ## Usage ```bash # Filter response (keep title, url, first 500 chars) echo "$MCP_OUTPUT" | jq '[.results[]? | {title, url, text: (.text // .content)[:500]}]' ``` Token savings: 92-98% Install: `uvx mcp-server-exa` Get key: exa.ai/api

What's inside
Steps it walks through
  1. Usage
Ships with 1 file
  • metadata.json
Commands it runs
Filter response (keep title, url, first 500 chars)
echo "$MCP_OUTPUT" | jq '[.results[]? | {title, url, text: (.text // .content)[:500]}]'
More from claude-skill-registry
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About this skill
What does the web-filter skill do?

Filters and truncates large web search results from Exa to reduce token usage.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill web-filter --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 majiayu000/claude-skill-registry, a repository with 534 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