Borrowing it
Nothing to install: this file belongs to xiaojilele-glitch/WhyBuddy. 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/xiaojilele-glitch/WhyBuddy/main/.kiro/steering/web-aigc-agent-launch-sequence.mdgit clone --depth 1 https://github.com/xiaojilele-glitch/WhyBuddyWrote 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/xiaojilele-glitch/whybuddy/web-aigc-agent-launch-sequence)<a href="https://agentmods.dev/instructions/xiaojilele-glitch/whybuddy/web-aigc-agent-launch-sequence"><img src="https://agentmods.dev/badge/instructions/xiaojilele-glitch/whybuddy/web-aigc-agent-launch-sequence/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/xiaojilele-glitch/whybuddy/web-aigc-agent-launch-sequence"><img src="https://agentmods.dev/badge/instructions/xiaojilele-glitch/whybuddy/web-aigc-agent-launch-sequence.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 | $0.02622 | $0.02622 |
| Opus 5.5 | $0.01049 | $0.01049 |
| Sonnet 5.5 | $0.00524 | $0.00524 |
| Haiku 4.5 | $0.00262 | $0.00262 |
Grade A, and why
WhyBuddy web-aigc-agent-launch-sequence.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 1mo 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.
This is a copy
88% identical to WhyBuddy current-state.md — 692 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web-AIGC 11 Agent 启动顺序与首批任务清单
文档目标
本文用于把已经确定好的 11 个并行 Agent 工作流，进一步落到“启动顺序”和“第一轮任务清单”。
换句话说：
- 不是只有分工
- 而是知道今晚如果真的开跑，应该谁先启动、谁后启动、第一批各自做什么
总体启动原则
原则 1：先平台，后节点
第一批先启动：
- Agent 0
- Agent 1
- Agent 2
- Agent 3
这些 Agent 的任务是把共享术语、共享契约、实例投影、审计门禁先压住。
原则 2：先低风险高价值节点，后高风险写操作
第二批优先启动：
- Agent 4
- Agent 5
- Agent 7
- Agent 8
- Agent 10（只开读路径和低风险宿主动作）
原则 3：内容处理与控制流稍晚放行
第三批启动：
- Agent 6
- Agent 9
因为它们分别依赖：
- 检索 / 内容处理共用底座
- runtime transition 与 branch 语义稳定
启动顺序总表
| 顺序 | Agent | 启动时机 | 放行条件 |
|---|---|---|---|
| 1 | Agent 0 | 立即 | 无 |
| 2 | Agent 1 | 立即 | 无 |
| 3 | Agent 2 | 立即 | Agent 1 术语草案形成 |
| 4 | Agent 3 | 立即 | Agent 1 / 2 初步实体结构可见 |
| 5 | Agent 4 | 平台稳定 30-60 分钟后 | G1 最小 runtime contract 可用 |
| 6 | Agent 5 | 平台稳定 30-60 分钟后 | G1 + G2 最小 waiting / resume 语义可用 |
| 7 | Agent 7 | 平台稳定 30-60 分钟后 | G1 可执行节点适配 |
| 8 | Agent 8 | 平台稳定 30-60 分钟后 | G1 可执行；仅放 mcp / auto_agent |
| 9 | Agent 10 | 平台稳定 30-60 分钟后 | 仅放 vector_query 和低风险宿主动作 |
| 10 | Agent 6 | 第 2 轮 | Agent 4 的检索承接模式已定 |
| 11 | Agent 9 | 第 2-3 轮 | runtime transition 语义稳定 |
Agent 0：总控与收口
第一轮任务
- 审核并冻结以下文档的术语一致性：
web-aigc-spec-execution-matrix.mdweb-aigc-parallel-execution-master-plan.mdweb-aigc-agent-assignment-matrix.md
- 定义 Gate G0-G5 的通过条件。
- 建立热点文件 ownership 表。
- 明确哪些模块必须单写者优先。
第一轮交付物
- Gate 表
- ownership 表
- 冲突升级原则
Agent 1：平台主干 A
第一轮任务
- 收口
web-aigc-platform-domain-model - 收口
web-aigc-platform-runtime-engine - 统一以下概念：
- graph definition
- graph version
- graph execution instance
- node execution record
- edge transition
- waiting state
- operator action
- 固定最小 node adapter contract。
第一轮不做
- 不大量接入节点
- 不先做 UI 设计器
第一轮交付标准
- runtime kernel 能被节点 Agent 调用
- 错误态、等待态、完成态都有统一结构
Agent 2：平台主干 B
第一轮任务
- 收口
web-aigc-platform-mission-projection - 收口
web-aigc-platform-session-instance - 建立 graph instance 到 mission / session 的最小映射。
- 定义 waiting_input / resume 所需的 session 挂接点。
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.
- 1mo ago First seen · 357 lines · 2,622 tokens per session scan A 42c76c182a30
WhyBuddy web-aigc-agent-launch-sequence.md is an instructions file published in the GitHub repository xiaojilele-glitch/WhyBuddy (380 stars, last pushed 1mo ago), licensed MIT. It adds 2,622 tokens to every session, about $0.0105 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to WhyBuddy current-state.md, differing in 692 lines, and is treated as a copy.
WhyBuddy web-aigc-agent-launch-sequence.md compared with instructions from other repositories
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|---|---|---|---|---|---|---|---|
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |