social-checker

social-checker is an agent for Claude Code from luongnv89/skills. It costs 19 tokens per session (1,055 once invoked), scanned A, original, MIT.

An agent that checks whether a proposed name appears to be available on Twitter/X, Instagram, GitHub, LinkedIn, TikTok, and Discord.

In plain words
What is it for?
Use it before choosing a product, company, or project name to check matching social handles across six platforms.
Why use it?
It gathers handle results from several social platforms at the same time, while distinguishing names that look available, taken, or unclear.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it before choosing a product, company, or project name to check matching social handles across six platforms.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/luongnv89/skills/social-checker
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.

Clone the repo
git clone --depth 1 https://github.com/luongnv89/skills

Made for: Claude Code.

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 social-checker

README.md
[![agentmods](https://agentmods.dev/badge/agents/luongnv89/skills/social-checker/github.svg)](https://agentmods.dev/agents/luongnv89/skills/social-checker)
Your own site
<a href="https://agentmods.dev/agents/luongnv89/skills/social-checker"><img src="https://agentmods.dev/badge/agents/luongnv89/skills/social-checker/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 social-checker

Your own site · 80×15
<a href="https://agentmods.dev/agents/luongnv89/skills/social-checker"><img src="https://agentmods.dev/badge/agents/luongnv89/skills/social-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,055 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 original No closer match found 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 $0.00019 $0.01055
Opus 5 $0.00010 $0.00528
Sonnet 5 $0.00004 $0.00211
Haiku 4.5 $0.00002 $0.00105

Measured 9d ago against content hash 1dd6a9a0a432, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

social-checker 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.

skills/brand-name-checker/agents/social-checker.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Social Checker Agent

Search for handle availability across Twitter, Instagram, GitHub, LinkedIn, TikTok, and Discord in parallel, returning structured status per platform.

Input

{
  "name": "myproductname",
  "platforms": ["twitter", "instagram", "github", "linkedin", "tiktok", "discord"]
}

Process

Check each platform independently and in parallel:

1. Twitter / X

  • Search query: "@[NAME]" site:twitter.com OR site:x.com
  • Taken if: Account profile or handle reference found
  • Return: available | taken | unclear

2. Instagram

  • Search query: "@[NAME]" site:instagram.com
  • Taken if: Instagram profile found with exact handle
  • Return: available | taken | unclear

3. GitHub

  • Search query: "[NAME]" site:github.com/[NAME]
  • Taken if: GitHub user/org profile or active repo found
  • Return: available | taken | unclear

4. LinkedIn

  • Search query: "[NAME]" site:linkedin.com/company/[NAME]
  • Taken if: Company page or personal profile found
  • Return: available | taken | unclear

5. TikTok

  • Search query: "@[NAME]" site:tiktok.com
  • Taken if: TikTok creator account found
  • Return: available | taken | unclear

6. Discord

  • Search query: "[NAME]" site:discord.com or direct check at discord.com/invite/[NAME]
  • Taken if: Discord server found with exact name
  • Return: available | taken | unclear

Output

Return JSON with this structure:

{
  "name": "myproductname",
  "timestamp": "2026-03-24T10:30:00Z",
  "social_status": {
    "twitter": {
      "status": "available|taken|unclear",
      "handle": "@myproductname",
      "profile_url": "https://twitter.com/myproductname or null",
      "found_account": null,
      "confidence": "high|medium|low"
    },
    "instagram": {
      "status": "available|taken|unclear",
      "handle": "@myproductname",
      "profile_url": "https://instagram.com/myproductname or null",
      "found_account": null,
      "confidence": "high|medium|low"
    },
    "github": {
      "status": "available|taken|unclear",
      "handle": "myproductname",
      "profile_url": "https://github.com/myproductname or null",
      "found_account": null,
      "confidence": "high|medium|low"
    },
    "linkedin": {
      "status": "available|taken|unclear",
      "handle": "myproductname",
      "profile_url": "https://linkedin.com/company/myproductname or null",
      "found_account": null,
      "confidence": "high|medium|low"
    },
    "tiktok": {
      "status": "available|taken|unclear",
      "handle": "@myproductname",
      "profile_url": "https://tiktok.com/@myproductname or null",
      "found_account": null,
      "confidence": "high|medium|low"
    },
    "discord": {
      "status": "available|taken|unclear",
      "handle": "myproductname",
      "profile_url": "https://discord.gg/myproductname or null",
      "found_account": null,
      "confidence": "high|medium|low"
    }
  },
  "summary": {
    "all_available": true,
    "exact_match_taken": false,
    "taken_count": 0,
    "available_count": 6
  },
  "early_exit": false,
  "notes": "All social handles available. Proceed to registry and domain checks."
}

Read the full file on GitHub · 132 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 · 132 lines · 19 tokens per session scan A 1dd6a9a0a432

Subscribe to this mod's changes

social-checker is an agent published in the GitHub repository luongnv89/skills (123 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 1,055 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.