WhyBuddy: Instructions file for Kiro

.kiro/steering/web-aigc-agent-assignment-matrix.md

WhyBuddy web-aigc-agent-assignment-matrix.md is an instructions file for Kiro from xiaojilele-glitch/WhyBuddy. It costs 3,461 tokens per session, scanned A, a copy of WhyBuddy current-state.md, MIT.

A responsibility matrix for assigning 58 web AI specifications to 11 parallel coding agents. It lists each agent's ownership, work area, timing, allowed files, and coordination duties.

In plain words
What is it for?
Use it to divide work across platform foundations, dialogue, retrieval, content processing, multimodal output, tools, control flow, auditing, and high-risk actions.
Why use it?
It makes ownership clear and highlights likely conflicts when many workers edit the same codebase. This helps the team coordinate shared contracts, merges, and final testing.

Instructions file for Kiro

Written for Kiro: installed under .kiro/.

This is xiaojilele-glitch/WhyBuddy's own configuration. It tells Kiro how to work on WhyBuddy itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything WhyBuddy configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/xiaojilele-glitch/WhyBuddy/main/.kiro/steering/web-aigc-agent-assignment-matrix.md
Clone the repo
git clone --depth 1 https://github.com/xiaojilele-glitch/WhyBuddy

Made for: Kiro.

Wrote this? Show the measurements

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README.md
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Per session 3,461 This file is loaded in full into every session.
When invoked 3,461 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.03461 $0.03461
Opus 5.5 $0.01384 $0.01384
Sonnet 5.5 $0.00692 $0.00692
Haiku 4.5 $0.00346 $0.00346

Measured 1mo ago against content hash a0911389e76a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

WhyBuddy web-aigc-agent-assignment-matrix.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.

Origin

This is a copy

94% identical to WhyBuddy current-state.md — 747 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.

.kiro/steering/web-aigc-agent-assignment-matrix.md · 412 lines

How it starts

The opening of the file, as written. The whole thing — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web-AIGC 58 Spec Agent 分派矩阵

文档目标

本文把当前 58 个 web-aigc 迁移 spec,逐项分配到 11 个并行 Agent 工作流中。

目标是做到三件事:

  1. 每个 spec 都有明确负责人
  2. 每个 Agent 都有清晰 ownership
  3. 并行执行时知道谁先做、谁后做、谁会冲突

Agent 总览

Agent 名称 主要职责 推荐波次
Agent 0 总控与收口 Gate、共享契约、冲突协调、合并顺序 全程
Agent 1 平台主干 A 领域模型、运行时内核 Wave 0-1
Agent 2 平台主干 B mission 投影、session / instance Wave 1
Agent 3 平台主干 C 审计、可观测、安全治理 Wave 3-4
Agent 4 对话与问答 dialogue / QA / LLM Wave 1-2
Agent 5 人工输入与会话分支 user input / HITL / command Wave 1-2
Agent 6 检索与内容处理 search / extraction / translation / file Wave 2
Agent 7 多模态与输出 OCR / ASR / image / PPT / chart Wave 1-2
Agent 8 工具、Agent 与外部调用 MCP / auto_agent / API / notification Wave 1 / 4
Agent 9 控制流与图中台 start / end / condition / loop / jump Wave 3
Agent 10 高风险写操作与宿主动作 vector 写路径 / transaction / page actions Wave 1 / 4

Agent 0:总控与收口

职责

  • 维护总计划与 Gate
  • 收口共享术语、共享契约
  • 决定放行下一波执行
  • 处理热点文件冲突
  • 组织最终合并与回归

允许写入

  • .kiro/steering/*
  • 必要时协调热点文件

不直接承接 spec

Agent 0 不直接承接功能 spec,主要负责治理与收口。

Agent 1:平台主干 A

承接 spec

  • web-aigc-platform-domain-model
  • web-aigc-platform-runtime-engine

关键 ownership

  • shared/workflow-runtime.ts
  • shared/workflow-kernel.ts
  • server/core/workflow-engine.ts
  • server/routes/workflows.ts

依赖关系

  • 无前置平台依赖
  • 是所有节点 Agent 的核心前置

Gate

  • G0 术语与契约冻结
  • G1 Runtime Kernel 可被节点调用

Agent 2:平台主干 B

承接 spec

  • web-aigc-platform-mission-projection
  • web-aigc-platform-session-instance

关键 ownership

  • shared/workflow-input.ts
  • shared/mission/contracts.ts
  • server/tasks/*
  • server/memory/session-store.ts
  • server/routes/tasks.ts

依赖关系

  • 依赖 Agent 1 的 runtime contract

Gate

  • G2 Mission / Session 投影打通

Agent 3:平台主干 C

承接 spec

  • web-aigc-platform-observability-audit
  • web-aigc-platform-security-governance

关键 ownership

  • shared/audit/*
  • shared/permission/*
  • server/audit/*
  • server/permission/*
  • server/routes/audit.ts
  • server/routes/permissions.ts
  • server/routes/lineage.ts
  • server/routes/replay.ts

Read the full file on GitHub · 412 lines

Changes

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.

  1. 1mo ago First seen · 412 lines · 3,461 tokens per session scan A a0911389e76a

Subscribe to this mod's changes

WhyBuddy web-aigc-agent-assignment-matrix.md is an instructions file published in the GitHub repository xiaojilele-glitch/WhyBuddy (380 stars, last pushed 1mo ago), licensed MIT. It adds 3,461 tokens to every session, about $0.0138 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to WhyBuddy current-state.md, differing in 747 lines, and is treated as a copy.

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