search

search is a skill for Claude Code from ninnettesudanese653/claude-plugins. It costs 22 tokens per session (655 once invoked), scanned A, a copy of search, MIT.

A workflow for searching posts and content on X, LinkedIn, Reddit, or YouTube. It includes platform-specific ways to search and apply filters.

In plain words
What is it for?
Use it to find recent or popular posts, search for people on LinkedIn, browse Reddit feeds, or open filtered YouTube results.
Why use it?
It removes the need to remember each platform's search process and how to open filtered results.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the socials plugin — 9 skills shipped together

Good fit Use it to find recent or popular posts, search for people on LinkedIn, browse Reddit feeds, or open filtered YouTube results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ninnettesudanese653/claude-plugins/search
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ninnettesudanese653/claude-plugins --skill search
Clone the repo
git clone --depth 1 https://github.com/ninnettesudanese653/claude-plugins

Made for: Claude Code.

Or install socials, the plugin that ships this one along with the rest of its 9 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for search

README.md
[![agentmods](https://agentmods.dev/badge/skills/ninnettesudanese653/claude-plugins/search/github.svg)](https://agentmods.dev/skills/ninnettesudanese653/claude-plugins/search)
Your own site
<a href="https://agentmods.dev/skills/ninnettesudanese653/claude-plugins/search"><img src="https://agentmods.dev/badge/skills/ninnettesudanese653/claude-plugins/search/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for search

Your own site · 80×15
<a href="https://agentmods.dev/skills/ninnettesudanese653/claude-plugins/search"><img src="https://agentmods.dev/badge/skills/ninnettesudanese653/claude-plugins/search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 655 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.00655
Opus 5 $0.00011 $0.00328
Sonnet 5 $0.00004 $0.00131
Haiku 4.5 $0.00002 $0.00065

Measured 9d ago against content hash 51a5b727c234, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to search — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/socials/skills/search/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search Social Media

Search for posts, topics, and conversations across platforms.

Workflow

  1. Check connection

    socials_check_access
    
  2. Get search parameters

    • Platform: X, LinkedIn, Reddit, or YouTube?
    • Keywords or search query
    • Type: Latest, Top, or People (X only)
  3. Open the platform

    socials_open_tab({ url: "[platform URL]" })
    
  4. Execute search

    On X:

    socials_x_search({
      query: "[keywords]",
      type: "Latest" | "Top" | "People"
    })
    

    On LinkedIn:

    socials_linkedin_posts_search({ query: "[keywords]" })
    

    Or for people:

    socials_linkedin_people_search({ keywords: "[name or title]" })
    

    On Reddit: Navigate to the subreddit and use:

    socials_get_feed({ platform: "reddit" })
    

    On YouTube (search in the browser): There is no separate MCP search tool. Build a results URL and open it (URL-encode the query, same idea as encodeURIComponent):

    socials_open_tab({
      url: "https://www.youtube.com/results?search_query=hello+kitty"
    })
    

    Use socials_navigate on the agent tab to change the search. Apply search filters with:

    socials_apply_search_filters({
      platform: "youtube",
      filters: ["Videos", "This week", "HD"]
    })
    

For a specific video page (/watch?v=...), use socials_get_page_content to extract video metadata plus comments.

  1. Show results For X, LinkedIn, or Reddit:
    socials_get_feed({ platform: "[platform]" })
    

For YouTube search results, call socials_get_page_content (optional limit, 1–80, default 40) to read video cards from the results page. For YouTube watch pages, call socials_get_page_content with optional comment_sort (top or newest) and comments_limit to read fresh comments in that order. Call socials_fetch_image for thumbnail URLs only when visual inspection materially improves the answer (comparison/detail checks). If text/URLs are enough, keep image URLs as text to reduce token usage.

Read the full file on GitHub · 90 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 90 lines · 22 tokens per session scan A 51a5b727c234

Subscribe to this mod's changes

search is a skill published in the GitHub repository ninnettesudanese653/claude-plugins (1 stars, last pushed yesterday), licensed MIT. It adds 22 tokens to every session and 655 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to search, differing in 0 lines, and is treated as a copy.

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