domain-glossary

domain-glossary is a skill for Claude Code from donald-ada/workinggenius. It costs 57 tokens per session (788 once invoked), scanned A, original, MIT.

A shared project glossary kept in CONTEXT.md, defining the preferred words for important concepts and recording disagreements about them.

In plain words
What is it for?
Use it when a term is missing, unclear, or conflicts with another term. It helps settle vocabulary and record why one term was chosen over others.
Why use it?
It prevents the user, coding agent, and codebase from using different words for the same idea. This reduces misunderstandings and keeps names consistent across code and tests.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the workinggenius plugin — 22 skills, 3 agents shipped together

Good fit Use it when a term is missing, unclear, or conflicts with another term. It helps settle vocabulary and record why one term was chosen over others.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/donald-ada/workinggenius/domain-glossary
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.

Any agent
npx skills add donald-ada/workinggenius --skill domain-glossary
Clone the repo
git clone --depth 1 https://github.com/donald-ada/workinggenius

Made for: Claude Code.

Or install workinggenius, the plugin that ships this one along with the rest of its 22 skills, 3 agents.

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 domain-glossary

README.md
[![agentmods](https://agentmods.dev/badge/skills/donald-ada/workinggenius/domain-glossary/github.svg)](https://agentmods.dev/skills/donald-ada/workinggenius/domain-glossary)
Your own site
<a href="https://agentmods.dev/skills/donald-ada/workinggenius/domain-glossary"><img src="https://agentmods.dev/badge/skills/donald-ada/workinggenius/domain-glossary/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.

agentmods 80×15 button for domain-glossary

Your own site · 80×15
<a href="https://agentmods.dev/skills/donald-ada/workinggenius/domain-glossary"><img src="https://agentmods.dev/badge/skills/donald-ada/workinggenius/domain-glossary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 788 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00057 $0.00788
Opus 5 $0.00028 $0.00394
Sonnet 5 $0.00011 $0.00158
Haiku 4.5 $0.00006 $0.00079

Measured 2d ago against content hash 57951d0d98ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

domain-glossary 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 2d 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/domain-glossary/SKILL.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Domain Glossary

One shared language between the user, the agent and the code — Domain-Driven Design's ubiquitous language — living in CONTEXT.md at the repo root: a glossary and nothing else. A term sharpened during one piece of work serves every later one: shorter conversations, consistent naming in code and tests.

Format

# {Project Name}

{One or two sentences on what this project is.}

## Language

**customer**:
{One or two sentences. What it IS, not what it does.}
Killed: *client*, *buyer* — one concept, one word.

**archive**:
Soft-hide; the user can restore it. Settled against permanent deletion in the
exports work — restorability is a support contract.
Killed: *trash*, *delete* — each carried both meanings at once.
  • Be opinionated. When several words name one concept, pick the best and name the losers as killed — with what killed them where there was a real fight.
  • A fought term keeps its fight. A term that collided carries the collision in one line: what collided, which won, why. A resolution recorded without its collision gets re-litigated.
  • Published API names outrank opinion. A misleading name that's public API can't be renamed — define it against its general meaning instead ("not actually a cryptographic salt; the name is API, the definition rules").
  • Tight definitions, one or two sentences, of what it is. Project concepts only — general programming concepts don't belong. No implementation details: not a spec, a scratchpad or a decision log — decisions live in their work file, indexed in .genius/DECIDED.md.
  • Create lazily, at the first resolved term. Don't hijack: an existing CONTEXT.md with other content keeps it; append the ## Language section and stay scoped to it.

The discipline

While any conversation is shaping work:

  • Collide words with the glossary. The user's term conflicts with an entry → stop and hold the two meanings up side by side: "The glossary says an archived account is restorable, but you're describing permanent deletion — which do you mean?" No building on a word that means two things at once.
  • Sharpen fuzzy terms. One word doing two jobs → propose a precise canonical term for each.
  • Collide claims with the code. The user says how something works; the code disagrees → surface the contradiction.
  • Update inline. The moment a term resolves, write it — not batched at the end. A resolution that isn't written down will be re-litigated.
  • The flow's own names get one rendering in the project's language. Where records are written in a language other than English, slice, snapshot, contract, seam, kill-reason, assumed, backlog and the six stage names are terms like any other: rendered differently at each writing they become several words for one concept. Record each once under ## Language, the first time a record is written in that language (setup-working-genius offers it), and every record uses that rendering (record-prose skill).

Read the full file on GitHub · 46 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. 2d ago Changed · -7 lines 57951d0d98ee
  2. 5d ago Changed · +1 lines ec322dc4272c
  3. 10d ago First seen · 52 lines · 57 tokens per session scan A 9f9f4ae74c01

Subscribe to this mod's changes

domain-glossary is a skill published in the GitHub repository donald-ada/workinggenius (6 stars, last pushed 3d ago), licensed MIT. It adds 57 tokens to every session and 788 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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