Use it to report completed plans, compare platform-level and feature-level work, and record which capabilities have reached the main service.

It gives the team a consistent way to measure whether planned work is finished without mixing documentation progress with implementation progress.

How xiaojilele-glitch/WhyBuddy configures Kiro

Q: What is WhyBuddy web-aigc-58-plan-progress-summary-2026-04-22.md?

A progress report for 58 technical specifications, where a specification is a document describing planned software work. It counts only the top-level task checkboxes and separates specification completion from later product improvements.

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-58-plan-progress-summary-2026-04-22.md

Clone the repo

git clone --depth 1 https://github.com/xiaojilele-glitch/WhyBuddy

Made for: Kiro.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/xiaojilele-glitch/whybuddy/web-aigc-58-plan-progress-summary-2026-04-22/github.svg)](https://agentmods.dev/instructions/xiaojilele-glitch/whybuddy/web-aigc-58-plan-progress-summary-2026-04-22)

Your own site

<a href="https://agentmods.dev/instructions/xiaojilele-glitch/whybuddy/web-aigc-58-plan-progress-summary-2026-04-22"><img src="https://agentmods.dev/badge/instructions/xiaojilele-glitch/whybuddy/web-aigc-58-plan-progress-summary-2026-04-22/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/xiaojilele-glitch/whybuddy/web-aigc-58-plan-progress-summary-2026-04-22"><img src="https://agentmods.dev/badge/instructions/xiaojilele-glitch/whybuddy/web-aigc-58-plan-progress-summary-2026-04-22.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,185 This file is loaded in full into every session.

When invoked 2,185 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 original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.02185	$0.02185
Opus 5.5	$0.00874	$0.00874
Sonnet 5.5	$0.00437	$0.00437
Haiku 4.5	$0.00218	$0.00218

Measured 1mo ago against content hash cd98e07a4eb9, 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-58-plan-progress-summary-2026-04-22.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.

.kiro/steering/web-aigc-58-plan-progress-summary-2026-04-22.md · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

web-aigc 58 份 Plan / Specs 进度总结（2026-04-23）

统计口径

统计范围仅包含 .kiro/specs 目录下所有 web-aigc-* spec 的 tasks.md
仅统计 tasks.md 顶层 checklist，也就是行首的 - [ ] / - [x]
不统计缩进后的子任务，不统计 requirements.md、design.md、status.md 等说明文档
本版开始将“spec 完成度”和“主线增强进度”明确分开统计，避免两个阶段目标混在一起

spec 完成度封板结果

总 spec 数：58
已完成 spec：58
部分完成 spec：0
未完成 spec：0
顶层任务完成数：238 / 238
顶层任务未完成数：0
顶层任务完成率：100.00%

相较于上一轮的 55 done / 1 partial / 2 todo，本轮最终收口完成了以下 3 份尾项：

web-aigc-platform-runtime-engine
web-aigc-node-transaction_flow
web-aigc-node-orchestration_recognition_jump

这意味着 web-aigc 的 58 / 58 份 specs 已经全部完成，spec 维度的推进目标已经收口，不再作为下一阶段的核心进度指标。

分层统计

节点层

spec 数：52
已完成 spec：52
部分完成 spec：0
未完成 spec：0
顶层任务完成数：208 / 208
顶层任务完成率：100.00%

平台层

spec 数：6
已完成 spec：6
部分完成 spec：0
未完成 spec：0
顶层任务完成数：30 / 30
顶层任务完成率：100.00%

已形成的主线基线

当前不只是 tasks.md 已全部勾选，主仓还已经落下一批关键主线闭环，后续阶段将以这些闭环为基线继续增强。

已接入主服务入口的能力

ai-ppt
dynamic-chart
excel-read
file-generation
file-slicing
file-translation
mcp
robot-reply
open-page
open-dashboard
transaction-flow
orchestration-recognition-jump
web-search
web-qa
get-location-info
get-device-info
vector-update
vector-delete

补充校准：

open-report 已通过 server/routes/workflows.ts 下的 /api/workflows/open-report 子路由接入主线，不是独立一级入口，但已经形成宿主动作可调用闭环。
workflow runtime governance 已接入 /api/workflows/:id/runtime/run、/api/workflows/:id/runtime/retry、/api/workflows/:id/runtime/escalate 控制链路。
RAG vectorStore 已由 ragDeps 暴露给 /api/rag 主路由、/api/vector-update、/api/vector-delete 与 /api/rag/risk-actions，不再只是底层依赖。

已接入 runtime extra adapters 的能力

knowledge_qa
qa_search
mcp
web_search
web_qa
get_location_info
get_device_info
audio_recognition
graph_search
static_webpage_read
intent_recognition
long_text_extraction
ai_ppt
excel_read
dynamic_chart
image_search
file_slicing
file_generation
file_translation
ocr_recognition
similarity_match
transaction_flow
orchestration_recognition_jump

Read the full file on GitHub · 211 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.

1mo ago First seen · 211 lines · 2,185 tokens per session scan A cd98e07a4eb9

Subscribe to this mod's changes

WhyBuddy web-aigc-58-plan-progress-summary-2026-04-22.md is an instructions file published in the GitHub repository xiaojilele-glitch/WhyBuddy (380 stars, last pushed 1mo ago), licensed MIT. It adds 2,185 tokens to every session, about $0.0087 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.

Planning Project management ai ai-agent ai-agents anthropic chatgpt claude

WhyBuddy web-aigc-58-plan-progress-summary-2026-04-22.md next to 6 instructions from other repositories
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WhyBuddy: Instructions file for Kiro