Borrowing it
Nothing to install: this file belongs to weante/city-salary. 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/weante/city-salary/main/AGENTS.mdgit clone --depth 1 https://github.com/weante/city-salaryWrote 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/weante/city-salary/agents-md)<a href="https://agentmods.dev/instructions/weante/city-salary/agents-md"><img src="https://agentmods.dev/badge/instructions/weante/city-salary/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/weante/city-salary/agents-md"><img src="https://agentmods.dev/badge/instructions/weante/city-salary/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 | $0.01640 | $0.01640 |
| Opus 5 | $0.00820 | $0.00820 |
| Sonnet 5 | $0.00328 | $0.00328 |
| Haiku 4.5 | $0.00164 | $0.00164 |
Grade A, and why
city-salary 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 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.
How it starts
The opening of the file, as written. The whole thing — 24 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — 城市工资计算规则（city-salary）
本文件为通用 Agent 指令，支持读取 AGENTS.md 的 Agent 工具（Codex、opencode、TRAE、WorkBuddy 等）可直接使用本仓库；需要交互式计算器时使用 skills/city-salary/assets/calculator.html（单文件 HTML，打开先选城市）。
计算规则（2025-2026年度 · 已内置广东省21市）
- 先确认城市，再取该市参数（内置：深圳/广州/东莞/佛山/珠海/惠州/江门/中山/汕头/韶关/湛江/肇庆/茂名/梅州/汕尾/河源/阳江/清远/潮州/揭阳/云浮）。用户报未内置城市时，说明可联网补充数据。
- 全省统一（广东）：养老单位16%/个人8%（上限27549；下限广州5510、其他4775；深圳深户单位17%）；失业单位0.8%/个人0.2%（2520~44265）；工伤单位0.2%起；生育多数并入医保；公积金0或5%~12%。
- 各市医保（分档城市多档可选，档次由单位参保方式决定）：深圳一档6%/2%、二档1.5%/0.5%（深户仅一档）6727
33633；广州6%/2%（含生育）623431170；东莞三档（统账有个账5%/2%、统账无个账4.5%/0.5%、单建统筹2.45%/0.5%）477527549；佛山统账4.5%/2%、单建4.5%/0%（另生育1%）46699660；珠海一档(统账)6%/1.5%、二档(单建)3%/0% 477527549；惠州统账5.6%/2%、单建4%/0% 446322315；江门6%/2%（含生育）428021399；中山统账5.8%/2%、单建3.3%/0.7% 425021250；汕头统账7%/2%、单建6%/0% 395319764；韶关5.5%/2%（另生育0.9%单缴）491524573；湛江统账6.7%/2%、单建6.2%/0% 454322717；肇庆5.5%/2%（另生育0.8%）452022599；茂名7%/2%（含生育）448922446；梅州企业5.5%/2%、机关事业6.5%/2% 431321567；汕尾统账6%/2%、单建4.8% 458522923；河源5%/2%（机关事业6%）428821441；阳江5%/2%（另生育1%）412020598；清远6.5%/2%（另生育1%）415720787；潮州综合医保7.4%/2%或6.9%/2%、住院医保(单建)4.5%/0.5% 376318816；揭阳6%/2% 372718636；云浮6%/2%（另生育1%）4556~22782。 - 公积金基数（下限
上限）：深圳252048471；广州250041697；东莞208027391；佛山208031395；珠海208036279；惠州185034290；江门185027628；中山208029430；汕头185027698；韶关175029283；湛江185029640；肇庆185028220；茂名175026100；梅州175026315；汕尾175027849；河源175025470；阳江175028356；清远175027593；潮州175026043；揭阳175024618；云浮175027642。 - 个人社保 = 养老8% + 医疗(个人费率) + 失业0.2%（+深圳长护0.125%可选）；公积金 = 基数×比例（0或5~12%）。
- 个税累计预扣预缴：已就业月数 = 当前月 − 就业起始月 + 1；累计应纳税所得额 = 月薪×月数 − (五险一金+5000+专项附加)×月数 → 七级税率表（3%~45%）→ 当月个税 = 累计税额 − 上月累计税额。
- 专项附加扣除（勾选启用，自动填默认值：子女教育/婴幼儿照护2000、赡养老人1500、住房租金按城市标准；范围0~上限）：子女教育/婴幼儿照护二选一（2000/月/子女）、房贷利息(1000)与住房租金二选一（租金按城市：广深1500/月，佛莞中珠惠汕湛茂揭清江肇潮梅阳韶1100/月，汕尾河源云浮800/月）、继续教育400、赡养老人（独生3000/非独生≤1500）、大病医疗年度80000（汇算时扣）。
- 年终奖单独计税：奖金÷12找月均税率（3%
45%月表）→ 全额×税率−速算扣除；临界值陷阱：36000/144000/300000/420000/660000/960000，多1元少拿230988000元，命中必须警告。 - 补充扣除：税优健康险≤200/月、个人养老金≤1000/月、企业年金≤工资4%。
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 · 24 lines · 1,640 tokens per session scan A 293656a78140
city-salary AGENTS.md is an instructions file published in the GitHub repository weante/city-salary (2 stars, last pushed 10d ago), licensed MIT. It adds 1,640 tokens to every session, about $0.0082 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.