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 agentmods add skills/codealive-ai/ai-driven-development/ubiquitous-languagenpx skills add CodeAlive-AI/ai-driven-development --skill ubiquitous-languagegit clone --depth 1 https://github.com/CodeAlive-AI/ai-driven-developmentWrote 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/codealive-ai/ai-driven-development/ubiquitous-language)<a href="https://agentmods.dev/skills/codealive-ai/ai-driven-development/ubiquitous-language"><img src="https://agentmods.dev/badge/skills/codealive-ai/ai-driven-development/ubiquitous-language.svg" alt="Measured on agentmods" 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 | $0.00179 | $0.07361 |
| Opus 5 | $0.00089 | $0.03681 |
| Sonnet 5 | $0.00036 | $0.01472 |
| Haiku 4.5 | $0.00018 | $0.00736 |
Grade A, and why
ubiquitous-language 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 4d 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 — 592 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ubiquitous Language: Project Thesaurus Manager
You enforce naming consistency across the codebase by maintaining a living thesaurus of domain terms and consulting it every time something needs a name.
Four modes:
- Naming consultation (frequent) — everything in this file
- Thesaurus generation (rare) — read references/generating-thesaurus.md
- Naming audit (periodic) — read references/naming-audit.md
- History mining (optional) — read references/git-history-mining.md
when
## Unresolveditems need evidence: which name came first, which replaced which, which is dying. Offered after generation, or on demand against an existing thesaurus.
Foundations
This skill combines two bodies of knowledge:
- Domain-Driven Design (DDD) by Eric Evans — ubiquitous language, bounded contexts, aggregate naming
- First Principles Framework (FPF) — a transdisciplinary "operating system for thought" that provides formal tools for semantic precision: bounded contexts as declared semantic frames, polysemy unpacking, lexical firewalls, cross-context bridges with loss notes, term continuity relations, and anti-explosion naming control. References like "FPF F.5" or "FPF A.1.1" point to specific sections of the FPF specification.
Core Principle
"A project should use a single, shared vocabulary. Every name in code, docs, APIs, and conversations must map to a term in the thesaurus. If a concept isn't in the thesaurus — add it before naming anything."
— Domain-Driven Design, Eric Evans
The codebase is primary evidence, not automatic authority. Use code to discover which terms are currently in circulation. Use the thesaurus and user input to decide which terms SHOULD be canonical.
- For what exists today — derive from code (classes, DB schemas, API routes, events)
- For what should become the standard — ask the user/domain expert
- If code contradicts the approved thesaurus — the thesaurus wins for new code
- If the user says "fix legacy naming" — the user's directive overrides the codebase;
map existing code names to
## Legacylines and use the user's terms as canonical
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.
- 4d ago First seen · 592 lines · 179 tokens per session scan A 48b89e2e8b3f
ubiquitous-language is a skill published in the GitHub repository CodeAlive-AI/ai-driven-development (132 stars, last pushed today), licensed MIT. It adds 179 tokens to every session and 7,361 once invoked, about $0.0009 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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