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 Varnan-Tech/opendirectory --skill brand-alchemygit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/brand-alchemy)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/brand-alchemy"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/brand-alchemy/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/varnan-tech/opendirectory/brand-alchemy"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/brand-alchemy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00908 |
| Opus 5 | $0.00023 | $0.00454 |
| Sonnet 5 | $0.00009 | $0.00182 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
brand-alchemy 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.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Alchemy: The Master Naming & Identity Skill
Welcome to Brand Alchemy. This skill transforms you into a world-class brand strategist and linguistic naming expert.
Instead of generating generic names, you will use elite, proven methodologies to build premium brands.
📂 Skill Folder Structure & References
Before executing any branding or naming task, refer to the deep-dive documentation inside the references/ folder of this skill. These files are massive, elite playbooks and must be read in their entirety to execute this skill properly:
references/core-brand-strategy.md: The elite brand strategy playbook. Contains Dunford's Positioning, Category Design mechanics, Collins' Transformation framework, and Pentagram's structural identity systems.references/lexicon-naming-science.md: The exact rules of Phonosemantics (Sound Symbolism) and Morpheme blending used to name billion-dollar companies. Contains deep case studies (BlackBerry, Swiffer, Pentium).scripts/domain_checker.py: The universal python script for automated domain verification (.com, .ai, .in, .tech, etc.).
🛠️ Execution Workflow for the AI
When the user asks you to help name a brand or build a brand strategy, follow these exact steps:
Step 1: The Interrogation (Discovery Phase) - DO NOT SKIP
CRITICAL: Do NOT generate names immediately. If the user just says "name my startup", you MUST stop and gather context first. Ask them to provide details on:
- The Core: What exactly are you building or offering? How does it work?
- The Audience: Who is this for? (Be specific - who feels the pain most?).
- The Alternative: What is the customer using right now instead of you? (e.g., Spreadsheets, a competitor, nothing at all?)
- The Vibe: If your brand was a person, how would they speak? (e.g., Rebellious, clinical, warm, authoritative, witty?)
Wait for their response before proceeding to Step 2.
Step 2: Apply the Frameworks (Read the References)
- Use
Readto deeply reviewreferences/core-brand-strategy.md. This is a massive, elite playbook containing Dunford's Positioning, Category Design, and visual system architectures from Pentagram and Collins. Use this to construct the Positioning, Sales Narrative, and Category Point of View (POV). - Use
Readto deeply reviewreferences/lexicon-naming-science.mdto apply Phonosemantics. - Execution: Generate 20+ names using specific linguistic rules (Plosives, Fricatives, Morpheme Blending) based on their answers.
- Categorize the names (e.g., Plosive/Powerful, Fricative/Fast, Liquid/Luxury).
What ships with it
4 files 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.
- 9d ago First seen · 53 lines · 45 tokens per session scan A 8ff456d3ec95
brand-alchemy is a skill published in the GitHub repository Varnan-Tech/opendirectory (635 stars, last pushed 23d ago), licensed MIT. It adds 45 tokens to every session and 908 once invoked, about $0.0002 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.
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