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.
npx agentmods add skills/brainrot-creations/claude-plugins/searchnpx skills add Brainrot-Creations/claude-plugins --skill searchgit clone --depth 1 https://github.com/Brainrot-Creations/claude-pluginsWrote 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.
[](https://agentmods.dev/skills/brainrot-creations/claude-plugins/search)<a href="https://agentmods.dev/skills/brainrot-creations/claude-plugins/search"><img src="https://agentmods.dev/badge/skills/brainrot-creations/claude-plugins/search.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once 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 |
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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- search — 100% identical, 0 lines differ
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
-
Check connection
socials_check_access -
Get search parameters
- Platform: X, LinkedIn, Reddit, or YouTube?
- Keywords or search query
- Type: Latest, Top, or People (X only)
-
Open the platform
socials_open_tab({ url: "[platform URL]" }) -
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_navigateon 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.
- 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.
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.
- 6d ago First seen · 90 lines · 22 tokens per session scan A 51a5b727c234
search is a skill published in the GitHub repository Brainrot-Creations/claude-plugins (22 stars, last pushed 2mo ago), 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
cco-tools
Show what tools actually cost in tokens — learned per-tool averages from observed results, replacing the hardcoded MCP/Agent guesses.
test-run
Run plugin test suites in this monorepo and report a concise pass/fail summary. Optional plugin slug arg; without arg, runs all plugins under plugins/.
github-pr-creation
Creates GitHub Pull Requests with automated validation and task tracking. Use when user wants to create PR, open pull request, submit for review, or check if ready for PR. Analyzes commits, validates task completion, generates Conventional Commits title and description, suggests labels. NOTE - for merging existing…
design-system-reference
Style guides and implementation rules for frontend design. Works with design-discovery agent which handles context gathering and VS-based style recommendations. Contains detailed style guides, anti-patterns, and implementation checklists.
magic-compact
Compact this Claude Code session.
boss-briefing
Vault health check — workflow pattern analysis, profile sync, session gap recovery, persona rule proposals.