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 skills add ninnettesudanese653/claude-plugins --skill searchgit clone --depth 1 https://github.com/ninnettesudanese653/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/ninnettesudanese653/claude-plugins/search)<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.
<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>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 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.
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.
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.
- 9d ago First seen · 90 lines · 22 tokens per session scan A 51a5b727c234
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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