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 skills add kanfu-panda/pdlc-skills --skill pdlc-archgit clone --depth 1 https://github.com/kanfu-panda/pdlc-skillsWrote 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/skills/kanfu-panda/pdlc-skills/pdlc-arch)<a href="https://agentmods.dev/skills/kanfu-panda/pdlc-skills/pdlc-arch"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-arch/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/skills/kanfu-panda/pdlc-skills/pdlc-arch"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-arch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.01002 |
| Opus 5 | $0.00015 | $0.00501 |
| Sonnet 5 | $0.00006 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
pdlc-arch 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 11d 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.
What it actually says
架构分析
对当前项目架构进行全面分析,输出架构评估报告。
分析维度
1. 服务拆分合理性
- 各微服务的职责边界是否清晰
- 是否存在循环依赖
- 服务粒度是否合适(过大/过小)
- 数据归属是否明确
2. 通信机制
- 服务间通信方式(同步REST/gRPC、异步消息队列)
- 是否存在分布式事务问题
- 接口版本管理策略
- 错误传播和容错机制
3. 数据架构
- 数据库拆分策略(每服务独立数据库 vs 共享)
- 数据一致性方案
- 缓存策略
- 数据备份与恢复
4. 可观测性
- 日志规范(结构化日志、链路追踪ID)
- 监控指标(RED指标:Rate/Errors/Duration)
- 告警策略
- 分布式追踪
5. 可扩展性
- 水平扩展能力
- 负载均衡策略
- 容量规划
工作流程
架构总览是 surface 型产物:
docs/ARCHITECTURE.md描述"系统当前长什么样",就地覆盖更新,不按日期累积多份文件。演进历史靠git log docs/ARCHITECTURE.md追溯。这与 per-feature 的docs/02_design/architecture/F-xxx-arch.md(ledger 型,记录"为某个 feature 为什么改架构")分工互补。
- 扫描
backend/和frontend/下的所有服务和应用 - 阅读
docs/02_design/architecture/下的 per-feature 架构 ledger(若有) - 分析代码中的依赖关系和调用链路
- 遗留检测:若发现旧版按日期命名的
*-arch-analysis.md(散落在docs/02_design/architecture/或旧 review 目录,即 v1.0 的 v1..v5 累积模式),提示并移到docs/.archive/architecture/,以最新一份作为ARCHITECTURE.md的起点 - 【必须创建/更新文件】 就地生成/覆盖
docs/ARCHITECTURE.md(参考templates/architecture-overview-template.md)
⚠️ 必须写入磁盘,不可仅在对话中输出。
输出格式
文件路径:docs/ARCHITECTURE.md(固定,就地覆盖)
文档顶部包含 PDLC 追溯头 + surface 标记:
<!-- artifact_type: surface -->
<!-- PDLC-TRACE -->
<!-- 功能名称: 架构总览 -->
<!-- 阶段: design -->
<!-- 创建时间: <执行时的实际 ISO 8601 时间戳> -->
报告内容:
- 架构全景图(文本描述 / mermaid)
- 服务拆分 / 通信 / 数据 / 可观测性 / 可扩展性 各维度评分(1-5)
- 问题清单与改进建议
创建后验证:确认 docs/ARCHITECTURE.md 已存在且为本次内容
要求
- 评价要客观,给出依据
- 建议要可操作,标注优先级
- surface 铁律:不创建带日期/版本号的架构文件,永远就地覆盖
ARCHITECTURE.md
$ARGUMENTS
本命令的 handoff 输出:
✅ 架构总览已更新:docs/ARCHITECTURE.md
📦 surface 型就地覆盖(历史见 git log docs/ARCHITECTURE.md)
👉 下一步:(本次流程结束,无后续)
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.
- 11d ago First seen · 102 lines · 30 tokens per session scan A cc1bee2d4ea1
pdlc-arch is a skill published in the GitHub repository kanfu-panda/pdlc-skills (13 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 1,002 once invoked, about $0.0002 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.
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