fluent-vocab

fluent-vocab is a skill for Claude Code, Codex from m98/fluent. It costs 73 tokens per session (1,495 once invoked), scanned A, original, MIT.

An interactive vocabulary practice session that shows one word at a time, checks each answer, and gives feedback. It uses spaced repetition, a method that brings back words at increasing intervals, plus several question types.

In plain words
What is it for?
Use it for a guided vocabulary drill after typing /fluent-vocab. It supports recognition, producing a word from memory, and filling in missing words.
Why use it?
It helps learners practise recalling words instead of only rereading them. It also uses stored practice results to choose words that need review.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the fluent plugin — 12 skills, 4 hooks shipped together

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.

agentmods
npx agentmods add skills/m98/fluent/fluent-vocab
Any agent
npx skills add m98/fluent --skill fluent-vocab
Clone the repo
git clone --depth 1 https://github.com/m98/fluent

Made for: Claude Code, Codex.

Or install fluent, the plugin that ships this one along with the rest of its 12 skills, 4 hooks.

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 fluent-vocab

README.md
[![agentmods](https://agentmods.dev/badge/skills/m98/fluent/fluent-vocab.svg)](https://agentmods.dev/skills/m98/fluent/fluent-vocab)
Your own site
<a href="https://agentmods.dev/skills/m98/fluent/fluent-vocab"><img src="https://agentmods.dev/badge/skills/m98/fluent/fluent-vocab.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,495 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00073 $0.01495
Opus 5 $0.00036 $0.00747
Sonnet 5 $0.00015 $0.00299
Haiku 4.5 $0.00007 $0.00150

Measured 5d ago against content hash ea3f0260312b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fluent-vocab 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 5d 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.

.claude/skills/fluent-vocab/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vocabulary Drill Session

Overview

Flashcard-style vocabulary practice using spaced repetition. One word at a time, immediate feedback, DB update at the end. Interleaves three modes (recognition, production, cloze) to force active recall rather than passive re-reading.

When to Use

Trigger this skill only when the learner types /fluent-vocab. The skill is gated with disable-model-invocation: true — a false-positive auto-trigger would launch a 15-min interactive session and mutate 6 JSON databases. Not worth the risk.

Skip this skill if no vocabulary items are due and no new words are queued — offer /fluent-review or /fluent-learn instead.

Instructions

1. Load vocabulary data

python3 "${CLAUDE_PLUGIN_ROOT:-${CLAUDE_PROJECT_DIR:-.}}/.claude/hooks/read-db.py"

If the helper is unavailable, resolve <data_dir> via fluent_paths.data_dir() then read:

  • <data_dir>/spaced-repetition.json
  • <data_dir>/mistakes-db.json
  • <data_dir>/mastery-db.json
  • <data_dir>/learner-profile.json (for target_language, name, level)

If any are missing, direct the learner to /fluent-setup and stop.

2. Select words

Priority order:

  1. Items in spaced-repetition.review_queue.today with item_type == "vocabulary".
  2. Words from mistakes-db.json where category == "vocabulary" and mastery_level <= 2.
  3. New high-frequency words matching learner-profile.focus_areas.

Limit: spaced-repetition.daily_limits.review_items_per_day (default 20).

3. Present one word at a time

Rotate the three modes so the session is not monotonous.

Recognition (target_language → native):

## Word {N}/{total}

**{target_language}:** {word}

**Context:** {example_sentence}

**What does it mean in {native_language}?**

**Type your answer:**

Production (native → target_language):

## Word {N}/{total}

**{native_language}:** {word}

**Use it in a sentence (optional).**

**How do you say this in {target_language}?**

**Type your answer:**

Read the full file on GitHub · 204 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. 5d ago First seen · 204 lines · 73 tokens per session scan A ea3f0260312b

Subscribe to this mod's changes

fluent-vocab is a skill published in the GitHub repository m98/fluent (387 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 1,495 once invoked, about $0.0004 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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