Borrowing it
Nothing to install: this file belongs to shino369/claude-code-personal-workspace. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shino369/claude-code-personal-workspace/main/.claude/skills/engineering-terminology/SKILL.mdgit clone --depth 1 https://github.com/shino369/claude-code-personal-workspaceWrote 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/shino369/claude-code-personal-workspace/engineering-terminology)<a href="https://agentmods.dev/skills/shino369/claude-code-personal-workspace/engineering-terminology"><img src="https://agentmods.dev/badge/skills/shino369/claude-code-personal-workspace/engineering-terminology/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/shino369/claude-code-personal-workspace/engineering-terminology"><img src="https://agentmods.dev/badge/skills/shino369/claude-code-personal-workspace/engineering-terminology.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 | $0.00051 | $0.02256 |
| Opus 5.5 | $0.00020 | $0.00902 |
| Sonnet 5.5 | $0.00010 | $0.00451 |
| Haiku 4.5 | $0.00005 | $0.00226 |
Grade A, and why
engineering-terminology 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 1mo 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 — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engineering Terminology Expertise
Overview
This skill provides comprehensive engineering and technical terminology knowledge for trilingual translation work (English, Japanese, Chinese Traditional). Use this when working with technical documents, software engineering materials, hardware specifications, or scientific content.
The terminology is organized into domain-specific glossaries with progressive disclosure, allowing you to access detailed terminology only when needed.
How to Use Glossaries
Available Glossaries
All glossaries are located in the glossaries/ subdirectory:
- software-engineering.md - Core software engineering concepts, design patterns, testing, version control
- web-development.md - Frontend/backend frameworks, web technologies, API design
- devops-cloud.md - DevOps practices, cloud computing, containerization, infrastructure
- data-engineering.md - Data processing, databases, analytics, data pipelines
- ai-ml.md - Artificial intelligence, machine learning, deep learning, LLMs
- hardware-electronics.md - Hardware design, electronics, embedded systems
Searching Across Glossaries
When translating a technical document:
- Identify the domain - Determine which glossary(ies) are most relevant
- Read the glossary - Use the Read tool to access the specific glossary file
- Search for terms - Use Grep tool if you need to search across multiple glossaries
- Maintain consistency - Create a project-specific term list for recurring translations
Example workflow:
User: "Translate this API documentation"
→ Read web-development.md (for REST, GraphQL, endpoint)
→ Read software-engineering.md (for architecture, testing)
Transliteration vs Translation
Keep English (or transliterate):
What ships with it
6 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.
- 1mo ago First seen · 230 lines · 51 tokens per session scan A 2241b07e02a8
engineering-terminology is a skill published in the GitHub repository shino369/claude-code-personal-workspace (3 stars, last pushed 11d ago), licensed ISC. It adds 51 tokens to every session and 2,256 once invoked, about $0.0002 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 2026-08-31.
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