synthesizer

synthesizer is an agent for Claude Code from luongnv89/skills. It costs 18 tokens per session (1,576 once invoked), scanned A, original, MIT.

An agent that combines checks for product-name risks across social networks, software package registries, website domains, and trademarks. It applies a risk matrix and suggests alternatives.

In plain words
What is it for?
Use it to assess a proposed product name across target platforms and registries, review domain and trademark concerns, and choose safer alternatives.
Why use it?
It brings separate availability and naming checks into one recommendation, making conflicts easier to compare before choosing a product name.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: positional $N argument.

Good fit Use it to assess a proposed product name across target platforms and…

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Install with agentmods
npx agentmods add agents/luongnv89/skills/synthesizer
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 synthesizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/luongnv89/skills/synthesizer.svg)](https://agentmods.dev/agents/luongnv89/skills/synthesizer)
Your own site
<a href="https://agentmods.dev/agents/luongnv89/skills/synthesizer"><img src="https://agentmods.dev/badge/agents/luongnv89/skills/synthesizer.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,576 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 $0.00018 $0.01576
Opus 5 $0.00009 $0.00788
Sonnet 5 $0.00004 $0.00315
Haiku 4.5 $0.00002 $0.00158

Measured 7d ago against content hash cbd09c1de10c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

synthesizer 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 7d 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/synthesizer.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Synthesizer Agent

Aggregate outputs from social-checker, registry-checker, domain-checker, and trademark-checker agents. Apply risk matrix and produce final recommendation with alternative suggestions.

Input

{
  "name": "myproductname",
  "social_output": { ... },
  "registry_output": { ... },
  "domain_output": { ... },
  "trademark_output": { ... },
  "prd_context": {
    "product_name": "My Product Name",
    "industry": "SaaS",
    "target_registries": ["npm"],
    "target_domains": ["com", "io"]
  }
}

Process

1. Risk Matrix Scoring

Assign points per category:

Social Media (0-20 points)

  • All available: 0 points
  • 1-2 handles taken: 5 points
  • 3+ handles taken: 10 points
  • Exact handle taken on main platform (Twitter/Instagram): 20 points (CRITICAL)

Package Registries (0-30 points)

  • All registries available: 0 points
  • Available on all user-target registries: 0 points
  • Taken on non-target registry: 10 points
  • Taken on primary target registry: 30 points (CRITICAL)

Domains (0-20 points)

  • .com available: 0 points
  • .com parked (for-sale): 5 points
  • .com active (different industry): 10 points
  • .com active (same industry): 20 points (CRITICAL)
  • But if .io/.app/.co available: reduce by 5 points

Trademarks (0-30 points)

  • No conflicts: 0 points
  • Low-risk similar marks: 5 points
  • Moderate-risk marks (0.60-0.84 similarity): 15 points
  • High-risk conflicts (0.85+ or exact match): 30 points (CRITICAL)

2. Risk Level Determination

Total Score Risk Level Action
0-10 Low Proceed
11-40 Moderate Modify
41+ High Abandon

3. Critical Early Exits

If any of these are true, jump to ABANDON immediately:

  • Social: Exact handle taken on main platform
  • Registry: Name taken on user's primary target registry
  • Domain: .com active in same industry
  • Trademark: High-risk (0.85+) conflict in classes 9/35/42

4. Generate Recommendations

Read the full file on GitHub · 227 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. 7d ago First seen · 227 lines · 18 tokens per session scan A cbd09c1de10c

Subscribe to this mod's changes

synthesizer is an agent published in the GitHub repository luongnv89/skills (123 stars, last pushed yesterday), licensed MIT. It adds 18 tokens to every session and 1,576 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.