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 jozobeer/mojiemoji-plugin --skill mojiemoji-configgit clone --depth 1 https://github.com/jozobeer/mojiemoji-pluginWrote 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/jozobeer/mojiemoji-plugin/mojiemoji-config)<a href="https://agentmods.dev/skills/jozobeer/mojiemoji-plugin/mojiemoji-config"><img src="https://agentmods.dev/badge/skills/jozobeer/mojiemoji-plugin/mojiemoji-config/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/jozobeer/mojiemoji-plugin/mojiemoji-config"><img src="https://agentmods.dev/badge/skills/jozobeer/mojiemoji-plugin/mojiemoji-config.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 | $0.00025 | $0.02187 |
| Opus 5 | $0.00013 | $0.01094 |
| Sonnet 5 | $0.00005 | $0.00437 |
| Haiku 4.5 | $0.00003 | $0.00219 |
Grade A, and why
mojiemoji-config 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.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mojiemoji Config
<MOJIEMOJI_CONFIG_SKILL_DIR> means the absolute directory containing this
active SKILL.md. Resolve it from the loaded skill path. Do not derive it from
the shell working directory or harness-specific environment variables.
〜/.config/mojiemoji/config.json に prestamp の intensity などをし、毎回 CLI を付けなくても既定を揃えるための skill です。
起動条件
- ユーザーが
/mojiemoji-configを叩いたとき - ユーザーが intensity（装飾強度）を・・解除したいと明示したとき
なぜか
prestamp.py の --intensity を毎回指定するのは手間なので、ファイルに一度書いておけば、CLI 無指定時はその値が使われます（解決順は CLI ）。
What ships with it
1 file 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.
- 11d ago First seen · 70 lines · 25 tokens per session scan A 0d4ebd0734c3
mojiemoji-config is a skill published in the GitHub repository jozobeer/mojiemoji-plugin (4 stars, last pushed 14d ago), licensed MIT. It adds 25 tokens to every session and 2,187 once invoked, about $0.0001 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 2026-08-31.
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