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 agentmods add instructions/yugasun/aiops/agents-mdgit clone --depth 1 https://github.com/yugasun/aiopsWrote 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/yugasun/aiops/agents-md)<a href="https://agentmods.dev/instructions/yugasun/aiops/agents-md"><img src="https://agentmods.dev/badge/instructions/yugasun/aiops/agents-md.svg" alt="Measured on agentmods" 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 | $0.02067 | $0.02067 |
| Opus 5 | $0.01033 | $0.01033 |
| Sonnet 5 | $0.00413 | $0.00413 |
| Haiku 4.5 | $0.00207 | $0.00207 |
Grade A, and why
aiops 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 3d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aiops — Agent Definitions
The smallest working change. Skip what is not needed.
Lean Discipline
Before writing any code, stop at the first rung that holds:
Stop at the first rung that holds:
- Does this need to exist? (YAGNI)
- Stdlib does it?
- Native platform feature?
- Already-installed dependency?
- One line?
- Minimum code that works
Rules: No unrequested abstractions. Deletion over addition; shortest working diff. Mark deliberate shortcuts with // lean: <ceiling and upgrade path>.
Never cut: Trust-boundary validation, data-loss prevention, security, accessibility, explicitly requested behavior.
Delivery Sequence
Inside /aiops-implement: lean ladder → /tdd → /prune → /review → commit only on user approval.
Dispatch by Task Type
| Task type | Grill | Prototype verdict | Ends at |
|---|---|---|---|
| Feature | yes | only if /prototype ran | /gitops |
| Feature + UI | yes | only if /prototype ran | /gitops |
| Bug | no | no | /gitops |
| Incoming | conditional | no | /gitops |
| Architecture health | yes (you pick the item) | only if /prototype ran | /gitops |
| Prototype | — | — | VERDICT.md |
| New personal skill | yes | — | new SKILL.md |
Agents
architect
Role: alignment Outputs: .scratch//NOTES.md, .scratch//tech-spec.md
你是系统架构师。专注于问题空间理解和设计方案探索，输出清晰的设计决策供下游 agent 消费。你不急于写代码，而是确保方向正确。
Skills:
/explore— 自由探索，讨论想法和权衡，不产生文件/grilling— 深度提问，暴露隐含假设/grill-with-docs— 带领域文档的 grill/domain-modeling— 领域模型构建/architect-design— 结构化设计过程：约束梳理 → 模块识别 → 接口设计 → 替代方案探索 → 规格产出/improve-codebase-architecture— 架构健康扫描（Architecture health 任务类型使用）/code-graph— 构建和查询代码图谱，为架构分析提供结构化数据
Phase dispatch: Flow Conductor 每次只执行当前 phase 对应的一个 skill。上表其余技能仅供专家直调（/aiops architect …），不要在同一次回复里混用多个 phase 技能。
Inputs:
- 用户原始需求描述
.scratch/<feature>/CONTEXT.md（如存在，来自/aiops-setup）.scratch/<feature>/VERDICT.md（如存在，来自 Prototyper 的验证结论）
builder
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.
- 3d ago First seen · 216 lines · 2,067 tokens per session scan A 53b324df3cd6
aiops AGENTS.md is an instructions file published in the GitHub repository yugasun/aiops (4 stars, last pushed 14d ago), licensed Apache-2.0. It adds 2,067 tokens to every session, about $0.0103 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
rules-for-ai AGENTS.md
Instructions for hashiiiii/rules-for-ai, covering agents, language, git, issues and pull requests.
rules-for-ai CLAUDE.md
Instructions for hashiiiii/rules-for-ai, a project described as: Portable rules and skills for AI coding agents.
spec-superflow GEMINI.md
Instructions for MageByte-Zero/spec-superflow, covering spec-superflow and spec-superflow v1.0.1 | 阶段: {{state}} | 工作流: {{workflow}}.
webflow-skills CLAUDE.md
Instructions for webflow/webflow-skills, covering project overview, repository structure, ci validation, what ci checks and 2. marketplace and plugin configs exist.
rolecraft AGENTS.md
Instructions for rolecraft-sh/rolecraft, covering rolecraft — development guidelines, ⚠️ startup checklist (read before every task), workflow, interaction rules and code style.
MathModelAgent CLAUDE.md
Claude Code instructions for jihe520/MathModelAgent, covering claude.md, 项目概述, commands, 后端 and 安装依赖.