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 zeldajay/brain-fog-friendly --skill brain-fog-friendlygit clone --depth 1 https://github.com/zeldajay/brain-fog-friendlyWrote 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/zeldajay/brain-fog-friendly/brain-fog-friendly)<a href="https://agentmods.dev/skills/zeldajay/brain-fog-friendly/brain-fog-friendly"><img src="https://agentmods.dev/badge/skills/zeldajay/brain-fog-friendly/brain-fog-friendly/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/zeldajay/brain-fog-friendly/brain-fog-friendly"><img src="https://agentmods.dev/badge/skills/zeldajay/brain-fog-friendly/brain-fog-friendly.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 | $0.00052 | $0.00494 |
| Opus 5 | $0.00026 | $0.00247 |
| Sonnet 5 | $0.00010 | $0.00099 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
brain-fog-friendly 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 12d 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
Configure Brain Fog Friendly
- 如果用户尚未指定语言或禁用，请在聊天中显示以下带序号的单选列表，然后停止并等待用户回复。不要代替用户选择。
1. English (`en`)
2. 简体中文 (`zh-cn`)
3. 日本語 (`ja`)
4. Русский (`ru`)
5. العربية (`ar`)
6. 한국어 (`ko`)
7. Español (`es`)
8. Français (`fr`)
9. Deutsch (`de`)
10. Português do Brasil (`pt-br`)
11. 禁用
- 将用户回复的序号、语言名称或代码映射为列表中的代码。不能明确映射时，再请用户选择；不要猜测。
- 定位此
SKILL.md所在的技能目录。 - 选择语言时运行
python3 <技能目录>/scripts/configure.py --language <代码>；选择禁用时运行python3 <技能目录>/scripts/configure.py --disable。不要请求或分配 PTY；如果沙箱限制写入全局配置，请为该命令请求文件写入授权。 - 向用户转述脚本的成功消息或错误；不要自行编辑全局
AGENTS.md。
脚本负责保留全局 AGENTS.md 中的其他内容。选择语言时，它只新增或替换带有
brain-fog-friendly 标记的区块；选择禁用时，它只删除该区块。脚本会自动判断目标环境：
Codex 的全局 ~/.codex/AGENTS.md（可用 CODEX_HOME 覆盖）或 DeepSeek Harness 的全局
$DSH_HOME/AGENTS.md（默认 ~/.dsh/AGENTS.md）。
启用、切换或禁用后，请让用户新开一个会话，让工具重新加载全局指令。
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.
- 12d ago First seen · 35 lines · 52 tokens per session scan A c467f01e35a2
brain-fog-friendly is a skill published in the GitHub repository zeldajay/brain-fog-friendly (2 stars, last pushed 23d ago), licensed MIT. It adds 52 tokens to every session and 494 once invoked, about $0.0003 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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