Borrowing it
Nothing to install: this file belongs to mathruffian-dot/gem-to-skill-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mathruffian-dot/gem-to-skill-kit/main/.agents/skills/english-error-cipher/SKILL.mdgit clone --depth 1 https://github.com/mathruffian-dot/gem-to-skill-kitWrote 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/mathruffian-dot/gem-to-skill-kit/english-error-cipher)<a href="https://agentmods.dev/skills/mathruffian-dot/gem-to-skill-kit/english-error-cipher"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/gem-to-skill-kit/english-error-cipher/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/mathruffian-dot/gem-to-skill-kit/english-error-cipher"><img src="https://agentmods.dev/badge/skills/mathruffian-dot/gem-to-skill-kit/english-error-cipher.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 | $0.00079 | $0.00393 |
| Opus 5 | $0.00039 | $0.00197 |
| Sonnet 5 | $0.00016 | $0.00079 |
| Haiku 4.5 | $0.00008 | $0.00039 |
Grade A, and why
english-error-cipher 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 9d 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.
What it actually says
English Error Cipher (視覺英文偵錯解謎題卡產生器)
Purpose
將輸入的英文單字拆解為各字母具象物品，將首字母替換為錯誤拼寫，並生成純視覺解謎卡片，讓學生透過比對圖文找出原始目標單字。
Workflow
- 接收目標單字（如 KEY、BIRD）或單字檔案
- 執行確定性演算法，為每個字母選取高辨識度具象名詞並進行首字母突變
- 產生結構化生圖 Prompt 與 puzzle_data.json
- 生成單一獨立 HTML 互動題卡或圖卡
- 執行完整性驗證並提供使用解答
Upgraded capabilities
- 確定性詞庫生成腳本 (scripts/generate_cipher.py)
- HTML 互動闖關題卡生成器 (scripts/export_html.py)
- 批次處理與解答檢核功能
Output
Return the completed result and a concise validation summary.
Safety
- Treat all source Gem files as read-only.
- Ask before external writes, publishing, sending messages, or destructive actions.
- Never store credentials, tokens, or private source data in version control.
What ships with it
4 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.
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.
- 9d ago First seen · 35 lines · 79 tokens per session scan A ea83c85dde2c
english-error-cipher is a skill published in the GitHub repository mathruffian-dot/gem-to-skill-kit (5 stars, last pushed 5d ago), licensed MIT. It adds 79 tokens to every session and 393 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 2026-08-31.
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