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 hanamizuki/solopreneur --skill naminggit clone --depth 1 https://github.com/hanamizuki/solopreneurWrote 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/hanamizuki/solopreneur/naming)<a href="https://agentmods.dev/skills/hanamizuki/solopreneur/naming"><img src="https://agentmods.dev/badge/skills/hanamizuki/solopreneur/naming/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/hanamizuki/solopreneur/naming"><img src="https://agentmods.dev/badge/skills/hanamizuki/solopreneur/naming.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 | $0.00133 | $0.09233 |
| Opus 5.5 | $0.00053 | $0.03693 |
| Sonnet 5.5 | $0.00027 | $0.01847 |
| Haiku 4.5 | $0.00013 | $0.00923 |
Grade A, and why
naming 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 20d 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 — 892 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Naming Skill
A structured workflow for naming one product, one company, or one brand where product and company share the same name. Uses multi-model ensemble (Claude + optional Codex / Gemini) to generate diverse candidates, filters through a two-layer rubric (Gate + Score), tests with real humans, and produces a finalist.
Scope
- One entity per run. Name one product, one company, or one brand where product and company share the same name (treated as a single entity).
- Separate entities → run twice. If product and company need different names, run the skill once for each. Do not merge briefs.
- Language: English-first. Non-English markets handled only as gate check, not name generation.
- Out of scope: multi-product portfolio governance (brand architecture,
nomenclature systems). See
references/out-of-scope.md.
Output
5 Markdown files in {repo}/docs/naming/ plus a state file and test kit:
docs/naming/
├── naming-state.yaml # Session state (internal)
├── 01-brief.md # Benefit ladder, personality, constraints
├── 02-namescape.md # Competitive naming map + no-go zones
├── 03-candidates.md # All candidates grouped by taxonomy + source model
├── 04-evaluation.md # Gate survivors + score rubric
├── test-kit.md # Phase 5 tension test materials (printable)
├── 05-decision.md # Final choice, rationale, limitations, announcement
└── .raw/ # Raw model outputs + briefs (per-session, timestamped)
Document schemas — see references/templates.md for the full markdown
template of each output file. Every phase output must match the template
so outputs are consistent across sessions and can be audited or diffed.
Taxonomy Reference (11 Types)
Full definitions and examples: references/taxonomy.md. Phases 2 and 3
both depend on this list:
- Descriptive · 2. Suggestive / Evocative · 3. Invented / Coined ·
- Metaphorical · 5. Real word out of context · 6. Compound ·
- Portmanteau · 8. Greek / Latin root · 9. Founder · 10. Acronym ·
- Misspelled / Truncated.
What ships with it
5 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.
- 20d ago First seen · 892 lines · 133 tokens per session scan A b8eaa68e1668
naming is a skill published in the GitHub repository hanamizuki/solopreneur (154 stars, last pushed 4d ago), licensed MIT. It adds 133 tokens to every session and 9,233 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-27.
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