Borrowing it
Nothing to install: this file belongs to ahonn/dotfiles. 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/ahonn/dotfiles/master/.claude/skills/english-mode/SKILL.mdgit clone --depth 1 https://github.com/ahonn/dotfilesWrote 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/ahonn/dotfiles/english-mode)<a href="https://agentmods.dev/skills/ahonn/dotfiles/english-mode"><img src="https://agentmods.dev/badge/skills/ahonn/dotfiles/english-mode/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/ahonn/dotfiles/english-mode"><img src="https://agentmods.dev/badge/skills/ahonn/dotfiles/english-mode.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00330 |
| Opus 5.5 | $0.00012 | $0.00132 |
| Sonnet 5.5 | $0.00006 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
english-mode scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
English Mode Toggle
Toggle English-only mode for the current project. When enabled:
- Non-English input is blocked — you must rewrite in English
- Grammar and usage feedback appears at the end of each response
Check current state
!jq -r '.["english-mode"] // false' "$CLAUDE_PROJECT_DIR/.claude/features.json" 2>/dev/null || echo "false"
Instructions
Based on "$ARGUMENTS" and the current state above:
- If argument is "on" → enable
- If argument is "off" → disable
- If no argument → toggle (flip current state)
To enable: ensure $CLAUDE_PROJECT_DIR/.claude/features.json exists and has "english-mode": true. Use jq to merge the key without overwriting other keys. Create the file if it doesn't exist.
To disable: set "english-mode": false in the same file. If the file has no other truthy keys, you may delete it.
After toggling, report the new state concisely:
- Enabled: "English mode on for this project. All input must be in English. Grammar feedback will appear at the end of responses."
- Disabled: "English mode off for this project."
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.
- 1mo ago First seen · 33 lines · 30 tokens per session scan A 2eac4096b75e
english-mode is a skill published in the GitHub repository ahonn/dotfiles (63 stars, last pushed 6d ago), licensed MIT. It adds 30 tokens to every session and 330 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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