AutoGLM-GUI is a web interface that lets an AI operate Android devices through chat, live screen control, and Android Debug Bridge connections. It is intended for personal automation and scheduled tasks across one or more phones or emulators, and can be deployed remotely. The catalogue add-ons provide agent instructions and commands for using the tool.
Borrowing it
Nothing to install: this file belongs to suyiiyii/AutoGLM-GUI. 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/suyiiyii/AutoGLM-GUI/main/.claude/commands/lint.mdgit clone --depth 1 https://github.com/suyiiyii/AutoGLM-GUIWrote 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/commands/suyiiyii/autoglm-gui/lint)<a href="https://agentmods.dev/commands/suyiiyii/autoglm-gui/lint"><img src="https://agentmods.dev/badge/commands/suyiiyii/autoglm-gui/lint/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/commands/suyiiyii/autoglm-gui/lint"><img src="https://agentmods.dev/badge/commands/suyiiyii/autoglm-gui/lint.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 | $0.00012 | $0.00314 |
| Opus 5 | $0.00006 | $0.00157 |
| Sonnet 5 | $0.00002 | $0.00063 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
lint 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
严格要求
必须修复所有错误和警告，不允许任何残留。
执行流程
- 运行 lint 命令查看所有问题
- 逐个修复所有错误和警告
- 重新运行 lint 验证
- 如果还有错误，继续修复
- 重复直到完全通过（0 errors, 0 warnings）
执行命令
uv run python scripts/lint.py
修复原则
- 不允许跳过任何错误
- 不允许跳过任何警告
- 必须运行到完全通过为止
- TypeScript 类型错误必须修复
- ESLint 警告必须修复
- Pyright 错误必须修复
- Ruff 问题必须修复
工作流程
- 执行
uv run python scripts/lint.py - 分析所有错误输出
- 使用 TodoWrite 列出所有需要修复的问题
- 逐个修复每个问题
- 每修复一批问题后重新运行 lint
- 继续直到 lint 完全通过
最终目标：lint 命令输出必须显示 "0 errors, 0 warnings" 或类似的成功信息。
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 · 44 lines · 12 tokens per session scan A b7e1d500547f
lint is a command published in the GitHub repository suyiiyii/AutoGLM-GUI (1,125 stars, last pushed yesterday), licensed Apache-2.0. It adds 12 tokens to every session and 314 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 2026-08-30.
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