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/current-state.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/current-state)<a href="https://agentmods.dev/instructions/xiaojilele-glitch/whybuddy/current-state"><img src="https://agentmods.dev/badge/instructions/xiaojilele-glitch/whybuddy/current-state/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/current-state"><img src="https://agentmods.dev/badge/instructions/xiaojilele-glitch/whybuddy/current-state.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 | $0.06355 | $0.06355 |
| Opus 5.5 | $0.02542 | $0.02542 |
| Sonnet 5.5 | $0.01271 | $0.01271 |
| Haiku 4.5 | $0.00636 | $0.00636 |
Grade A, and why
WhyBuddy current-state.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.
Copies of this mod
4 near-identical copies found in the catalogue:
- WhyBuddy web-aigc-agent-assignment-matrix.md — 94% identical, 747 lines differ
- WhyBuddy web-aigc-parallel-execution-master-plan.md — 92% identical, 1,038 lines differ
- WhyBuddy web-aigc-agent-launch-sequence.md — 88% identical, 692 lines differ
- WhyBuddy web-aigc-spec-execution-matrix.md — 81% identical, 985 lines differ
How it starts
The opening of the file, as written. The whole thing — 517 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SlideRule — 项目上下文总纲
本文件是唯一的"当前在哪"索引。AI 助手收到任何指令时，优先读本文件定位上下文。 最后更新：2026-05-21 | Specs: 275 | 完成率: 97.6%
1. 产品主线
Project-first AI 自动驾驶操作系统
创建项目 → 项目问答与澄清 → Spec 演化 → FSD 路线规划 → 角色执行 → 证据沉淀
核心原则：
- 用户看项目，不看节点。用户看路线，不看 DAG。
- 50+ AIGC 节点是 FSD 角色内置能力，不作为独立入口。
- Workflow / Docker / Browser Runtime 是执行承载，不是产品主对象。
- 底层保留
Mission / Workflow / Runtime / Audit / Replay，不大规模重命名。
2. 全局数字
| 维度 | 数值 |
|---|---|
| Spec 目录总数 | 275 |
| 已完成 (done) | 241 |
| 部分完成 (partial) | 7 |
| 未开始 (todo) | 26 |
| 总 checklist 项 | 8218 |
| 已勾选 | 8018 |
| 整体完成率 | 97.6% |
3. Specs 全景索引（按功能域分组）
3.1 Web-AIGC 节点（52 specs）— ✅ 100% 封板
52 个图编排节点，全部 done。封板时间 2026-04-23。
| Spec | 说明 |
|---|---|
| web-aigc-node-start | 开始节点 |
| web-aigc-node-end | 结束节点 |
| web-aigc-node-condition | 条件节点 |
| web-aigc-node-loop | 循环节点 |
| web-aigc-node-flow_jump | 流程跳转 |
| web-aigc-node-variable_assignment | 变量赋值 |
| web-aigc-node-format_output | 格式化输出 |
| web-aigc-node-dialogue | 对话节点 |
| web-aigc-node-robot_reply | 机器人回复 |
| web-aigc-node-knowledge_qa | 知识问答 |
| web-aigc-node-web_qa | 网页问答 |
| web-aigc-node-llm | LLM 节点 |
| web-aigc-node-user_input | 用户输入 |
| web-aigc-node-selection | 选择节点 |
| web-aigc-node-confirm_judge | 确认判断 |
| web-aigc-node-param_collection | 参数采集 |
| web-aigc-node-intent_recognition | 意图识别 |
| web-aigc-node-command_list | 命令列表 |
| web-aigc-node-recommended_commands | 推荐命令 |
| web-aigc-node-mcp | MCP 节点 |
| web-aigc-node-auto_agent | 自动代理 |
| web-aigc-node-internal_api | 内部接口 |
| web-aigc-node-passthrough_api | 透传接口 |
| web-aigc-node-message_notification | 消息通知 |
| web-aigc-node-document_search | 文档检索 |
| web-aigc-node-fragment_search | 片段检索 |
| web-aigc-node-graph_search | 图谱检索 |
| web-aigc-node-web_search | 网页搜索 |
| web-aigc-node-qa_search | 问答检索 |
| web-aigc-node-long_text_extraction | 长文本提取 |
| web-aigc-node-file_slicing | 文件切片 |
| web-aigc-node-file_translation | 文件翻译 |
| web-aigc-node-excel_read | Excel 读取 |
| web-aigc-node-static_webpage_read | 静态网页读取 |
| web-aigc-node-file_generation | 文件生成 |
| web-aigc-node-similarity_match | 相似匹配 |
| web-aigc-node-audio_recognition | 语音识别 |
| web-aigc-node-ocr_recognition | OCR 识别 |
| web-aigc-node-image_search | 图片检索 |
| web-aigc-node-ai_ppt | AI PPT |
| web-aigc-node-dynamic_chart | 动态图表 |
| web-aigc-node-vector_query | 向量查询 |
| web-aigc-node-vector_insert | 向量插入 |
| web-aigc-node-vector_update | 向量更新 |
| web-aigc-node-vector_delete | 向量删除 |
| web-aigc-node-open_page | 打开页面 |
| web-aigc-node-open_report | 打开报告 |
| web-aigc-node-open_dashboard | 打开看板 |
| web-aigc-node-get_device_info | 获取设备信息 |
| web-aigc-node-get_location_info | 获取位置信息 |
| web-aigc-node-transaction_flow | 事务流程 |
| web-aigc-node-orchestration_recognition_jump | 编排识别跳转 |
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 · 517 lines · 6,355 tokens per session scan A 76e183d274ca
WhyBuddy current-state.md is an instructions file published in the GitHub repository xiaojilele-glitch/WhyBuddy (380 stars, last pushed 1mo ago), licensed MIT. It adds 6,355 tokens to every session, about $0.0254 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 2026-09-23.
WhyBuddy current-state.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| WhyBuddy current-state.mdxiaojilele-glitch/WhyBuddy | Instructions file | 380 | 1mo ago | MIT | A | 6,355 | Kiro |
| 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 | 5,516 | 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 |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |