Remarc: Skill for Claude Code

.claude/skills/vocab/SKILL.md

vocab is a skill for Claude Code from metedata/Remarc. It costs 35 tokens per session (134 once invoked), scanned A, original, MIT.

A project-specific word list for speech recognition, used to help the system recognise names, terms, or phrases correctly.

In plain words
What is it for?
Use it to add or remove entries from the app’s vocabulary hints list.
Why use it?
It fixes cases where speech recognition repeatedly mishears a word or phrase.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is metedata/Remarc's own configuration. It tells Claude Code how to work on Remarc itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Remarc configures →

Reuse

Borrowing it

Nothing to install: this file belongs to metedata/Remarc. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/metedata/Remarc/main/.claude/skills/vocab/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/metedata/Remarc

Made for: Claude Code.

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 vocab

README.md
[![agentmods](https://agentmods.dev/badge/skills/metedata/remarc/vocab.svg)](https://agentmods.dev/skills/metedata/remarc/vocab)
Your own site
<a href="https://agentmods.dev/skills/metedata/remarc/vocab"><img src="https://agentmods.dev/badge/skills/metedata/remarc/vocab.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 134 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.
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 $0.00035 $0.00134
Opus 5 $0.00017 $0.00067
Sonnet 5 $0.00007 $0.00027
Haiku 4.5 $0.00003 $0.00013

Measured 7d ago against content hash dcf317ee76b5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

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 7d 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/vocab/SKILL.md · 20 lines

What it actually says

Manage Vocabulary Hints

Words to add/remove: $ARGUMENTS

Steps

  1. Read app/RemarcPackage/Sources/RemarcFeature/Services/VocabularyHints.swift
  2. Check if the word/phrase is already in the words array
  3. Add or remove the entry as requested
  4. Confirm the change to the user
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. 7d ago First seen · 20 lines · 35 tokens per session scan A dcf317ee76b5

Subscribe to this mod's changes

vocab is a skill published in the GitHub repository metedata/Remarc (66 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 134 once invoked, about $0.0002 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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