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 joonlab/claude-code-with-github-actions --skill vocabulary-generatorgit clone --depth 1 https://github.com/joonlab/claude-code-with-github-actionsWrote 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/joonlab/claude-code-with-github-actions/vocabulary-generator)<a href="https://agentmods.dev/skills/joonlab/claude-code-with-github-actions/vocabulary-generator"><img src="https://agentmods.dev/badge/skills/joonlab/claude-code-with-github-actions/vocabulary-generator/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/joonlab/claude-code-with-github-actions/vocabulary-generator"><img src="https://agentmods.dev/badge/skills/joonlab/claude-code-with-github-actions/vocabulary-generator.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 | $0.00017 | $0.00518 |
| Opus 5.5 | $0.00007 | $0.00207 |
| Sonnet 5.5 | $0.00003 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
vocabulary-generator 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vocabulary Generator
Steps
1. Duplicate Check
Run the duplicate checker to get previously used words:
python3 .claude/skills/vocabulary-generator/scripts/check_duplicates.py output/
Store the output list and ensure no selected words overlap.
2. Word Selection
Read the vocabulary guide:
.claude/skills/vocabulary-generator/references/vocabulary-guide.md
Select the target number of words following these criteria:
- Matches the specified difficulty level
- Not in the duplicate list
- Mix of parts of speech (aim for ~40% nouns, ~30% verbs, ~20% adjectives, ~10% adverbs)
- Practical usage in professional, academic, or everyday contexts
3. Definitions
For each word, prepare:
- Primary definition (most common usage)
- Secondary definition (if applicable)
- Part of speech
- IPA pronunciation
- Word origin/etymology (brief)
4. Example Sentences
Write 2-3 example sentences per word:
- One in a professional/business context
- One in an academic/formal context
- One in an everyday/casual context
Each sentence should make the word's meaning clear from context.
5. Practice Questions
Create three types of exercises:
Multiple Choice (5 questions):
- Stem: sentence or definition
- 4 options (1 correct, 3 distractors)
- Distractors should be same part of speech and similar difficulty
Fill-in-the-Blank (5 questions):
- Sentence with the target word removed
- Word bank provided
- Context clues should guide the answer
Matching (5 questions):
- Column A: words
- Column B: definitions (shuffled)
- Clear, unambiguous matches
6. Learning Tips
For each word, include one of the following:
- Mnemonic device
- Word root breakdown
- Related words / word family
- Common mistake to avoid
- Collocation pattern
7. Save File
Read the template:
.claude/skills/vocabulary-generator/assets/template.md
Fill in all sections and save to:
output/YYYY-MM-DD-HH-vocabulary.md
Verify the file was written correctly by reading it back.
What ships with it
3 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 · 87 lines · 17 tokens per session scan A 1b932b3a8f52
vocabulary-generator is a skill published in the GitHub repository joonlab/claude-code-with-github-actions (5 stars, last pushed 7mo ago), licensed MIT. It adds 17 tokens to every session and 518 once invoked, about $0.0001 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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