Borrowing it
Nothing to install: this file belongs to FFmorange/QDeskWatch. 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/FFmorange/QDeskWatch/dev/AGENTS.mdgit clone --depth 1 https://github.com/FFmorange/QDeskWatchWrote 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/instructions/ffmorange/qdeskwatch/agents-md)<a href="https://agentmods.dev/instructions/ffmorange/qdeskwatch/agents-md"><img src="https://agentmods.dev/badge/instructions/ffmorange/qdeskwatch/agents-md/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/instructions/ffmorange/qdeskwatch/agents-md"><img src="https://agentmods.dev/badge/instructions/ffmorange/qdeskwatch/agents-md.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 | $0.00681 | $0.00681 |
| Opus 5.5 | $0.00272 | $0.00272 |
| Sonnet 5.5 | $0.00136 | $0.00136 |
| Haiku 4.5 | $0.00068 | $0.00068 |
Grade A, and why
QDeskWatch AGENTS.md 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 2mo 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
AGENTS
本文件用于约束和说明 QDeskWatch 仓库内的协作方式。
更新日期：2026-04-11
项目介绍
- 本项目是一个参考 Apple Watch / iWatch 视觉语言的 PC 端桌面助手。
- 当前技术栈以
Qt 6、QML / Qt Quick、C++17、CMake为核心。
项目文件结构
参考docs/project-file-structure.md
AGENTS.md 更新规范
- 当判断某项规则适合写入
AGENTS.md时，应先征求用户确认后再添加，不应直接写入。 - 凡涉及项目级
AGENTS.md的修改，无论是新增、删除、调整、合并还是重写条款，均应先征求用户确认，再执行操作。 - 当准备向项目级
AGENTS.md添加规则时，如果缓存目录中的AGENTS.md已经存在内容相同或语义相近的通用条款，原则上无需重复补充；只有在当前项目存在额外约束、适用范围不同，或确有必要在项目内再次明确时，再考虑添加。 - 当发现文档、skill、项目级
AGENTS.md，或它们内部多个条款之间存在内容冲突、语义矛盾或适用范围不一致时，应先向用户说明冲突点、涉及位置及可能影响，再询问用户是否需要调整，以及希望保留哪一侧规则或如何合并。
文档更新规范
- 当判断某份文档可能需要更新时，应先征求用户确认，确认后再执行文档修改。
skill 更新规范
- 当判断当前使用的 skill 内容可能需要更新时，应先征求用户确认，确认后再执行 skill 修改。
skill 调用规范
- skill 仅在与当前任务明确匹配时使用，不应为了“显得更高级”而刻意滥用。
- 项目内 skill 位于
skills/目录，默认采用“一个 skill 对应一个目录”的结构存放，即skills/<skill-name>/SKILL.md，并可按需包含agents/openai.yaml等配套文件；执行任务前，应先判断当前需求是否可以由现有 skill 直接处理或辅助处理。 - 只要当前任务与某个现有 skill 的触发范围明显匹配，就应优先使用该 skill，再开展后续分析、检索或修改。
- 如果过程中调用了某个 skill，应在过程说明中明确写出所使用的 skill，让用户知道本次任务调用了哪个 skill。
- 如果项目内 skill 与系统 skill 同时可用，应优先选择更贴近当前仓库语境的 skill；必要时再组合使用。
- skill 默认只承载方法、流程、判断顺序和输出要求，不应写入过多项目专属事实。
- 当项目结构发生变化，且某个 skill 与相关文档存在依赖或引用关系时，应先更新项目文档，再让该 skill 引用最新文档。
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.
- 2mo ago First seen · 47 lines · 681 tokens per session scan A e3e153efaf2c
QDeskWatch AGENTS.md is an instructions file published in the GitHub repository FFmorange/QDeskWatch (2 stars, last pushed 6mo ago), licensed MIT. It adds 681 tokens to every session, about $0.0027 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 2026-08-31.
QDeskWatch AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| QDeskWatch AGENTS.mdFFmorange/QDeskWatch | Instructions file | 2 | 6mo ago | MIT | A | 681 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,649 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |