mojiemoji-propose

mojiemoji-propose is a skill for Claude Code from jozobeer/mojiemoji-plugin. It costs 34 tokens per session (3,192 once invoked), scanned A, a copy of bump-catalog, MIT.

A skill that finds Japanese words left without a chosen emoji treatment in prestamp output, asks another agent to suggest styles, and saves those choices in a usage cache.

In plain words
What is it for?
Use it when you want unstamped Japanese terms to receive proposed emoji styles and be added to the cache used by the catalogue-maintenance process.
Why use it?
It fills the gap when prestamp turns already-known catalogue matches into images without recording new style choices, helping the catalogue continue to grow.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the mojiemoji-github plugin — 4 skills, 1 agent, 2 hooks shipped together

Good fit Use it when you want unstamped Japanese terms to receive proposed emoji styles and be added to the cache used by the catalogue-maintenance process.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add jozobeer/mojiemoji-plugin
Claude Code
/plugin install mojiemoji-github

Made for: Claude Code.

Or install mojiemoji-github, the plugin that ships this one along with the rest of its 4 skills, 1 agent, 2 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 mojiemoji-propose

README.md
[![agentmods](https://agentmods.dev/badge/skills/jozobeer/mojiemoji-plugin/mojiemoji-propose/github.svg)](https://agentmods.dev/skills/jozobeer/mojiemoji-plugin/mojiemoji-propose)
Your own site
<a href="https://agentmods.dev/skills/jozobeer/mojiemoji-plugin/mojiemoji-propose"><img src="https://agentmods.dev/badge/skills/jozobeer/mojiemoji-plugin/mojiemoji-propose/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 mojiemoji-propose

Your own site · 80×15
<a href="https://agentmods.dev/skills/jozobeer/mojiemoji-plugin/mojiemoji-propose"><img src="https://agentmods.dev/badge/skills/jozobeer/mojiemoji-plugin/mojiemoji-propose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,192 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 88% copy Near-identical to another mod 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 $0.00034 $0.03192
Opus 5 $0.00017 $0.01596
Sonnet 5 $0.00007 $0.00638
Haiku 4.5 $0.00003 $0.00319

Measured 11d ago against content hash f46fd9295757, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

mojiemoji-propose 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 11d 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.

Origin

This is a copy

88% identical to bump-catalog — 158 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/mojiemoji-propose/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mojiemoji Propose

prestamp の draft に残った未 stamp 本語語に対して、 mojiemoji-selector subagent に flavor を考案させて usage cache に記録する。これにより bump-catalog のが補充され、catalog が 自然に育つ。

起動条件

  • ユーザーが /mojiemoji-propose <path> を叩いたとき
  • ユーザーが「未 stamp 語を catalog に育てたい」「propose を回して」など 明示的に要求したとき

なぜか

prestamp.py は論的に catalog hit を <img> 化するため selector 起会を奪う (#92)。usage.jsonl が空のままされると bump-catalog (#46) が永久に発火せず catalog が育たない。この skill は prestamp の隙間を埋め、selector を起動するための入口になる。

Read the full file on GitHub · 119 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. 11d ago First seen · 119 lines · 34 tokens per session scan A f46fd9295757

Subscribe to this mod's changes

mojiemoji-propose is a skill published in the GitHub repository jozobeer/mojiemoji-plugin (4 stars, last pushed 13d ago), licensed MIT. It adds 34 tokens to every session and 3,192 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to bump-catalog, differing in 158 lines, and is treated as a copy.

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