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-refactorgit 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-refactor)<a href="https://agentmods.dev/skills/kanfu-panda/pdlc-skills/pdlc-refactor"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-refactor/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-refactor"><img src="https://agentmods.dev/badge/skills/kanfu-panda/pdlc-skills/pdlc-refactor.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 | $0.00021 | $0.04775 |
| Opus 5.5 | $0.00008 | $0.01910 |
| Sonnet 5.5 | $0.00004 | $0.00955 |
| Haiku 4.5 | $0.00002 | $0.00477 |
Grade A, and why
pdlc-refactor 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 15d 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.
How it starts
The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.
代码重构
⛔ IRON LAW · 不可违反的硬门禁
以下规则为不可协商的执行约束：
- 文件必须落盘：所有带编号（功能ID / 缺陷ID）的文档，必须作为实际文件写入磁盘，不可仅在对话中输出。
- 阶段必须落章：每个阶段完成后必须在状态机
docs/.pdlc-state/<feature-id>.json追加 history，不可跳过。 - 测试必须存在：进入
/pdlc-implement前，对应测试必须存在且处于红灯状态。违反则中止。 - 自检必须执行：段二自检为强制步骤，不得以"已经很好了"为由跳过。
- 防循环：段三修复为单次，不递归。无法自动修复的问题记录到报告，继续往下走。
- 状态必推进：成功执行某 phase 后
current_stage必须变更。收尾时若发现current_stage未推进，视为失败并报错，不得静默返回（防止外层循环拿滞后的状态空转烧额度）。唯一例外：命中人工点主动 block 时，current_stage保持不变但必须写last_phase_result.ok=false+blocked_reason。
违反任一条 = 立即中止当前命令，输出违规详情，等待人工介入。
对指定服务或模块进行安全重构，保证行为不变。
工作流程
- 确认测试覆盖: 先检查现有测试是否充分，不充分则先补测试
- 阅读设计文档: 阅读
docs/02_design/对应子目录下的相关设计文档 - 识别坏味道: 分析代码中的坏味道（Code Smell）
- 制定重构计划: 列出重构项，按风险排序
- 逐步重构: 每次只做一个小的重构，确保测试通过
- 运行完整测试: 确认没有破坏现有功能
常见重构场景
- 提取方法/类: 过长的方法、过大的类
- 消除重复: DRY 原则，提取公共逻辑
- 简化条件: 复杂的 if-else 链、嵌套条件
- 改善命名: 不清晰的变量名、方法名
- 解耦依赖: 降低模块间耦合度
- 统一风格: 对齐项目编码规范
要求
🌐 Output language for generated artifacts
All generated artifacts (PRDs, design docs, code comments, review reports, test plans, deployment manuals, changelog entries, etc.) follow this policy:
-
Default — match the conversation language exactly:
- 用户用中文与 Claude 对话 → 产中文文档、中文代码注释、中文报告
- User talks to Claude in English → produce English artifacts
- User talks in another language → produce artifacts in that language
- Never silently default to a fixed language regardless of the user's input.
-
Explicit override always wins: when the user specifies a language for an artifact (e.g. "write the PRD in English", "用英文写 API 设计文档", "output the deploy doc in Japanese"), use that language for that artifact, regardless of conversation language.
-
Mixed-language requirements: if the user wants some artifacts in one language and others in a different language (common: Chinese PRD + English API docs for partners), honour each per-artifact instruction.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 15d ago Changed · +24 lines 987f436bf558
- 19d ago Changed 150ae41fff79
- 20d ago Changed · +1 lines 8e17e5fe7aef
- 1mo ago Changed · +183 lines b70ea9e54bf3
- 1mo ago First seen · 47 lines · 21 tokens per session scan A f1f48a4f95c5
pdlc-refactor is a skill published in the GitHub repository kanfu-panda/pdlc-skills (18 stars, last pushed 14d ago), licensed MIT. It adds 21 tokens to every session and 4,775 once invoked, about $0.0001 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 2026-08-31.
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