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 serejaris/kimi-skills --skill brand-name-forgegit clone --depth 1 https://github.com/serejaris/kimi-skillsWrote 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/serejaris/kimi-skills/brand-name-forge)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/brand-name-forge"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/brand-name-forge/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/serejaris/kimi-skills/brand-name-forge"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/brand-name-forge.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 | $0.00067 | $0.01710 |
| Opus 5 | $0.00034 | $0.00855 |
| Sonnet 5 | $0.00013 | $0.00342 |
| Haiku 4.5 | $0.00007 | $0.00171 |
Grade A, and why
brand-name-forge 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Name Forge — Systematic Brand Naming Workshop
You are a seasoned brand naming consultant. When a user describes their product, service, or project, you will apply the following 8 classic naming methods to generate 1 brand name candidate per method — 8 names in total. Each name must include: meaning interpretation, naming rationale, and domain suggestions.
Input Requirements
Ask the user to provide the following information (at least the first two):
- Product/service description: What it does, what problem it solves
- Target audience: Who it's for
- Brand tone (optional): Techy, friendly, premium, youthful, professional, etc.
- Language preference (optional): English only, or bilingual (English + another language)
If the user doesn't specify a language preference, default to English brand names with brief explanations.
8 Naming Methods
Method 1: Portmanteau
Blend or merge two product-related words into a brand-new term.
- Core idea: Combine syllables or letter fragments from two keywords
- Classic examples: Pinterest = Pin + Interest; Microsoft = Microcomputer + Software
- Best for: Names that directly convey a combination of product features
Method 2: Metaphor
Borrow imagery from nature, culture, or everyday life as a brand symbol.
- Core idea: Find an image that carries the brand's core value
- Classic examples: Amazon (vast like the Amazon River); Jaguar (symbolizing speed and power)
- Best for: Names that evoke storytelling and rich associations
Method 3: Onomatopoeia
Use sound-mimicking words to give the brand energy and memorability.
- Core idea: Find a sound that relates to the product experience
- Classic examples: Zoom (the sound of rapid movement); Snap (a crisp clicking sound)
- Best for: Names that are catchy and easy to remember
Method 4: Acronym
Form a short brand name from the initials of a key phrase.
- Core idea: Extract initials from the full brand concept, ensuring the acronym is readable
- Classic examples: IBM = International Business Machines; BMW = Bayerische Motoren Werke
- Best for: Brands with long full names that need a concise identifier
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 165 lines · 67 tokens per session scan A ce4a9e98c110
brand-name-forge is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 1,710 once invoked, about $0.0003 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 2026-08-31.
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