emoji-notes

emoji-notes is a skill for Claude Code, Codex from ggg123124/vrchat-assistant. It costs 0 tokens per session (1,094 once invoked), scanned A, original, MIT.

A local notes system for assigning personal names and aliases to custom or built-in emoji. It can match spoken descriptions, including noisy speech-to-text input, to an emoji ID before sending the emoji.

In plain words
What is it for?
Use it to save, view, and search emoji notes, resolve descriptions such as “fox checking a pull request,” and pass the matching ID to an emoji-sending action.
Why use it?
It prevents repeated questions about which emoji or file ID a person means. Saved aliases make informal descriptions reusable.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to save, view, and search emoji notes, resolve descriptions such as “fox checking a pull request,” and pass the matching ID to an emoji-sending action.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ggg123124/vrchat-assistant/emoji-notes
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.

Any agent
npx skills add ggg123124/vrchat-assistant --skill emoji-notes
Clone the repo
git clone --depth 1 https://github.com/ggg123124/vrchat-assistant

Made for: Claude Code, Codex.

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 emoji-notes

README.md
[![agentmods](https://agentmods.dev/badge/skills/ggg123124/vrchat-assistant/emoji-notes/github.svg)](https://agentmods.dev/skills/ggg123124/vrchat-assistant/emoji-notes)
Your own site
<a href="https://agentmods.dev/skills/ggg123124/vrchat-assistant/emoji-notes"><img src="https://agentmods.dev/badge/skills/ggg123124/vrchat-assistant/emoji-notes/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 emoji-notes

Your own site · 80×15
<a href="https://agentmods.dev/skills/ggg123124/vrchat-assistant/emoji-notes"><img src="https://agentmods.dev/badge/skills/ggg123124/vrchat-assistant/emoji-notes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,094 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00000 $0.01094
Opus 5 $0.00000 $0.00547
Sonnet 5 $0.00000 $0.00219
Haiku 4.5 $0.00000 $0.00109

Measured 5d ago against content hash 6819d6412281, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

emoji-notes 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.

The scan reads SKILL.md. This mod also ships 5 executable files (builtin-emojis.js, index.js, resolve.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/official/emoji-notes/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

emoji-notes 插件(Skill 文档)

用途

给自定义 / 内置 boop emoji 存个性化备注/别名(本地 sqlite 个人数据),并把可能带中文 STT 噪声的口语描述(如「狐狸检查PR」「弧狸检查PR」「审核PR那个」「大笑」)鲁棒反查成 emojiId,再交给 send_boop 执行。解决「每次都要追问用户是哪个 fileId」的痛点。

提供三个 MCP 工具:set_emoji_note(写·本地)/ get_emoji_notes(查)/ resolve_emoji(检索)。

工具用法

1. 给表情设备注/别名(一次成本,之后语音检索永久生效)

set_emoji_note { emojiId: "file_xxx", note: "狐狸在检查 PR 的图",
                 aliases: ["狐狸检查PR", "审核PR", "狐狸"], tags: ["审核"], category: "梗图" }
  • 内置表情 emojiId 形如 default_laugh(见 get_boop_emojis);自定义表情用 upload_emoji 返回的 fileId。
  • 别名是「整表替换」语义;notealiases 都为空时软删除该条。
  • 防御上限:note ≤ 2000 字符、aliases ≤ 50 个、单别名 ≤ 100 字符。

2. 查询备注

get_emoji_notes {}                        # 全部有效备注(默认 100 条)
get_emoji_notes { emojiId: "file_xxx" }   # 精确查单条
get_emoji_notes { kind: "custom" }        # 只查自定义
get_emoji_notes { includeDeleted: true }  # 含软删除项

3. 口语描述反查 emojiId(resolve → send_boop 链路)

resolve_emoji { query: "狐狸检查PR" }
# matched=true → { emojiId: "file_xxx", confidence: 1.0, matchedBy: "alias", ... }
# 然后:
send_boop { userId: "usr_xxx", emojiId: "file_xxx" }

resolve_emoji { query: "大笑" }    # 无备注也能命中内置 default_laugh(builtin_zh)
resolve_emoji { query: "laugh" }   # 内置英文名(builtin_en)
resolve_emoji { query: "弧狸检查PR" }  # STT 同音错字 → 拼音同音命中(pinyin, 0.95)

匹配信号(matchedBy):alias / pinyin / token_overlap / fuzzy_pinyin / fuzzy_hanzi / builtin_zh / builtin_en

纪律:先 resolve 拿 emojiId,歧义必须反问用户

  1. 写路径不猜send_boop 只收 emojiId;任何「用户口述描述」都要先走 resolve_emoji
  2. 歧义必须反问resolve_emoji 返回 needsClarification=true(或 matched=false)时,绝不擅自选用第一名候选,必须把 candidates(降序,带 confidencematchedBy)展示给用户确认:「你是说『狐狸检查PR』那张,还是『狐狸吃鸡』那张?」
  3. 未备注的自定义表情无法靠文字命中:resolve 无候选时,引导用户 set_emoji_note 补一句备注/别名(一次性),不要反复问 fileId。
  4. 判定规则(resolve.js 顶部常量):top.confidence ≥ 0.85top - second ≥ 0.2 才唯一命中;否则返回候选。

依赖

  • 唯一运行时依赖 pinyin-pro(纯 JS 拼音库,无 native 编译)。插件自带 package.json 声明依赖。
  • 若启动报「缺少依赖 pinyin-pro」,执行:

Read the full file on GitHub · 65 lines

Files

What ships with it

9 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.

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 · 65 lines · 0 tokens per session scan A 6819d6412281

Subscribe to this mod's changes

emoji-notes is a skill published in the GitHub repository ggg123124/vrchat-assistant (21 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,094 tokens. 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 2026-09-06.